Alternatives to CData Query Federation Drivers

Compare CData Query Federation Drivers alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to CData Query Federation Drivers in 2026. Compare features, ratings, user reviews, pricing, and more from CData Query Federation Drivers competitors and alternatives in order to make an informed decision for your business.

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    AWS Glue

    AWS Glue

    Amazon

    AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.
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    Rocket DataEdge

    Rocket DataEdge

    Rocket Software

    Rocket DataEdge is a, unified data integration platform that discovers, accesses, manages, and secures enterprise data across transactional, distributed, and cloud environments to make data decision-ready for AI, analytics, and applications. It integrates core systems, including IBM Z and IBM i, with on-premises and cloud targets using high-performance, vendor-agnostic connectors and log-based, bi-directional change data capture with transactional fidelity and schema evolution to keep sources and targets in sync for trusted, real-time governed data. DataEdge automates metadata scanning, cataloging, lineage, and semantic views to enable governed self-service discovery and clear data relevance, driving faster access and use of the right data. It supports data virtualization and federation with federated query (SQL/REST), pushdown optimization, and caching to activate data without extra copies.
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    Oracle Data Service Integrator
    Oracle Data Service Integrator provides companies the ability to quickly develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is completely standards-based, declarative, and enables re-usability of data services. Oracle Data Service Integrator is the only data federation technology that supports the creation of bidirectional (read and write) data services from multiple data sources. In addition, Oracle Data Service Integrator offers the breakthrough capability of eliminating coding by graphically modeling both simple and complex updates to heterogeneous data sources. Install, verify, uninstall, upgrade, and get started with Data Service Integrator. Oracle Data Service Integrator was originally known as Liquid Data and AquaLogic Data Services Platform (ALDSP). Some instances of the original names remain in the product, installation path, and components.
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    SAS Federation Server
    Create federated source data names to enable users to access multiple data sources via the same connection. Use the web-based administrative console for simplified maintenance of user access, privileges and authorizations. Apply data quality functions such as match-code generation, parsing and other tasks inside the view. Improved performance with in-memory data caches & scheduling. Secured information with data masking & encryption. Lets you keep application queries current and available to users, and reduce loads on operational systems. Enables you to define access permissions for a user or group at the catalog, schema, table, column and row levels. Advanced data masking and encryption capabilities let you determine not only who’s authorized to view your data, but also what they see on an extremely granular level. It all helps ensure sensitive data doesn’t fall into the wrong hands.
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    Dremio

    Dremio

    Dremio

    Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable.
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    Data Virtuality

    Data Virtuality

    Data Virtuality

    Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
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    dbExpress Drivers
    dbExpress is a database-independent layer that defines common interface to provide fast access to SQL database servers from Delphi and C++Builder including Community Edition, on Windows and macOS (32-bit and 64-bit) and Linux (64-bit) platforms. For each supported server, dbExpress provides a driver as an independent library that implements the common dbExpress interfaces for processing queries and stored procedures. As data-access layer is thin and simple, dbExpress provides high-performance database connectivity and is easy to deploy. You can use our drivers in the same way as the ones supplied by Embarcadero.
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    Oracle Big Data SQL Cloud Service
    Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.
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    Hyper-Q

    Hyper-Q

    Datometry

    Adaptive Data Virtualization™ technology enables enterprises to run their existing applications on modern cloud data warehouses, without rewriting or reconfiguring them. Datometry Hyper-Q™ lets enterprises adopt new cloud databases rapidly, control ongoing operating expenses, and build out analytic capabilities for faster digital transformation. Datometry Hyper-Q virtualization software allows any existing applications to run on any cloud database, making applications and databases interoperable. Enterprises can now adopt the cloud database of choice, without having to rip, rewrite and replace applications. Enables runtime application compatibility with Transformation and Emulation of legacy data warehouse functions. Deploys transparently on Azure, AWS, and GCP clouds. Applications can use existing JDBC, ODBC and Native connectors without changes. Connects to major cloud data warehouses, Azure Synapse Analytics, AWS Redshift, and Google BigQuery.
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    TIBCO Data Virtualization
    An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution. As a modern data layer, the TIBCO® Data Virtualization system addresses the evolving needs of companies with maturing architectures. Remove bottlenecks and enable consistency and reuse by providing all data, on demand, in a single logical layer that is governed, secure, and serves a diverse community of users. Immediate access to all data helps you develop actionable insights and act on them in real time. Users are empowered because they can easily search for and select from a self-service directory of virtualized business data and then use their favorite analytics tools to obtain results. They can spend more time analyzing data, less time searching for it.
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    Toad Data Point
    Self-Service Data Preparation Tool. Toad® Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity and desktop data integration, and with the Workbook interface for business users, you get simple-to-use visual query building and workflow automation. Connect to a wide range of data sources, including SQL-based and NoSQL databases, ODBC, business intelligence sources, and Microsoft Excel or Access. Use a single tool for data profiling needs and get consistent results. Create a query without writing or editing SQL statements. Even for those familiar with SQL, the intuitive graphical user interface makes it easier to create relationships and visualize the query. Toad Data Point Professional lets each user choose between two different interfaces depending on their work. The traditional interface provides ultimate flexibility and a deep breadth of functionality.
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    Rocket Data Virtualization
    Traditional methods of integrating mainframe data, ETL, data warehouses, building connectors, are simply not fast, accurate, or efficient enough for business today. More data than ever before is being created and stored on the mainframe, leaving these old methods further behind. Only data virtualization can close the ever-widening gap to automate the process of making mainframe data broadly accessible to developers and applications. You can curate (discover and map) your data once, then virtualize it for use anywhere, again and again. Finally, your data scales to your business ambitions. Data virtualization on z/OS eliminates the complexity of working with mainframe resources. Using data virtualization, you can knit data from multiple, disconnected sources into a single logical data source, making it much easier to connect mainframe data with your distributed applications. Combine mainframe data with location, social media, and other distributed data.
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    Varada

    Varada

    Varada

    Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.
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    CData Drivers

    CData Drivers

    CData Software

    CData Software is a leading provider of data access and connectivity solutions, specializing in the development of drivers and data access technologies for real-time access to online or on-premise applications, databases and Web APIs. CData Drivers are universally accessible, providing access to data through established data standards and application platforms such as: - ODBC - JDBC - ADO.NET - OData - SSIS - BizTalk - Excel CData provides drivers for 130+ data sources and counting, including analytics & BI platforms, CRM, ERP, data warehouse & database tools and popular finance, accounting and marketing SaaS tools. CData Drivers enable you to: - Connect BI, Reporting & ETL Tools to 130+ Data Sources - Save 1000s of Development Hours — It's Already Done For You - Use SQL, instead of complex coding, to access and use your data CData Drivers are trusted worldwide and backed by the highest quality support, with dedicated support options available.
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    IBM Cloud Pak for Data
    The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.
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    Reportql

    Reportql

    Reportql

    Reportql is a SQL-based, AI-powered data visualization tool designed to streamline the process of generating real-time reports and dashboards. It enables users to connect their databases and effortlessly query data using natural language, eliminating the need for extensive development cycles and reducing dependency on developers. It supports multiple AI models, including OpenAI, Google Gemini, and Mistral, facilitating instant data insights without the necessity for AI model training or investment. Features include the creation of real-time dashboards displaying essential metrics from various databases, automated email reports triggered by scheduled or event-driven actions, and alert notifications for shifts in key performance indicators, trends, anomalies, or metric digests. Reportql's low-code interface accelerates report creation, allowing developers to deliver reports ten times faster, while its AI capabilities empower end-users to access data instantly.
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    InDriver

    InDriver

    ANDSystems

    InDriver: A multi-functional JavaScript-based Automation Engine that allows you to perform multiple tasks simultaneously. InStudio: GUI application for remote InDriver configuration across multiple computers. Easily transforms setups into tailored solutions with minimal JS code and a few clicks. Copy-paste examples are readily available for quick integration. Key Applications: Data Automation and Integration Engine Conduct Extract-Transform-Load (ETL) operations effortlessly. Streamlines access to RESTful API resources, simplifying request definition, interval setting, JSON data processing, and database log-ins. Industrial Automation Engine Seamless interfacing with PLCs, sensors, and diverse devices. Read/write data, create control algorithms, and process data for SCADA, MES, and other systems. Database Automation Schedule queries for specific intervals or events, ensuring continuous automation.
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    Virtuoso

    Virtuoso

    OpenLink Software

    Virtuoso Universal Server is a modern platform built on existing open standards that harnesses the power of Hyperlinks ( functioning as Super Keys ) for breaking down data silos that impede both user and enterprise ability. Using Virtuoso, you can easily generate financial profile knowledge graphs from near real time financial activity that reduce the cost and complexity associated with detecting fraudent activity patterns. Courtesy of its high-performance, secure, and scalable dbms engine, you can use intelligent reasoning and inference to harmonize fragmented identities using personally identifying attributes such as email addresses, phone numbers, social-security numbers, drivers licenses, etc. for building fraud detection solutions. Virtuoso helps you build powerful solutions applications driven by knowledge graphs derived from a variety of life sciences oriented data sources.
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    Stardog

    Stardog

    Stardog Union

    With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.
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    Denodo

    Denodo

    Denodo Technologies

    The core technology to enable modern data integration and data management solutions. Quickly connect disparate structured and unstructured sources. Catalog your entire data ecosystem. Data stays in the sources and it is accessed on demand, with no need to create another copy. Build data models that suit the needs of the consumer, even across multiple sources. Hide the complexity of your back-end technologies from the end users. The virtual model can be secured and consumed using standard SQL and other formats like REST, SOAP and OData. Easy access to all types of data. Full data integration and data modeling capabilities. Active Data Catalog and self-service capabilities for data & metadata discovery and data preparation. Full data security and data governance capabilities. Fast intelligent execution of data queries. Real-time data delivery in any format. Ability to create data marketplaces. Decoupling of business applications from data systems to facilitate data-driven strategies.
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    Lyftrondata

    Lyftrondata

    Lyftrondata

    Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.
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    IBM Db2 Big SQL
    A hybrid SQL-on-Hadoop engine delivering advanced, security-rich data query across enterprise big data sources, including Hadoop, object storage and data warehouses. IBM Db2 Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as Hadoop HDFS and WebHDFS, RDMS, NoSQL databases, and object stores. Benefit from low latency, high performance, data security, SQL compatibility, and federation capabilities to do ad hoc and complex queries. Db2 Big SQL is now available in 2 variations. It can be integrated with Cloudera Data Platform, or accessed as a cloud-native service on the IBM Cloud Pak® for Data platform. Access and analyze data and perform queries on batch and real-time data across sources, like Hadoop, object stores and data warehouses.
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    Querona

    Querona

    YouNeedIT

    We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data.
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    StackQL

    StackQL

    StackQL Studios

    StackQL is a SQL-based multicloud management framework used to provision and query cloud resources, reducing complexity and simplifying security. StackQL is extensible to all API-enabled cloud and SaaS providers through its unique “no code” to “low code” provider plugin architecture, making it a valuable and intuitive multicloud management and observability solution.
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    Query Federated Search
    Query is a federated search platform delivering a single search bar to access all your security-relevant data, wherever it is stored. The Query Federated Search Platform unlocks access to and value from cybersecurity data wherever it is stored (in the cloud, third-party SaaS, or on-prem), regardless of vendor or technology, and without requiring centralization. This leads to massive cost savings, more efficient security operations across real-time and historical data sources, and reduced security analyst ramp-up time.
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    GetDot.ai

    GetDot.ai

    GetDot.ai

    Dot is an AI data analyst that connects directly to your data warehouse and lets users ask questions in plain language to get instant, trustworthy insights. It integrates with Slack, Teams, or a native web app to deliver ad‑hoc data retrieval, visualizations, root‑cause analysis, and weekly business reports with actionable recommendations. By learning from your existing BI tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai ensures consistent, governed answers reinforced by role‑based permissions and row‑level security. Setup is code‑free, with one‑click integrations for Snowflake, BigQuery, Redshift, PostgreSQL, and other SQL‑based sources. Continuous monitoring uncovers unknown unknowns, while a dedicated training and governance workspace lets you refine its behavior and maintain accuracy. Designed for speed and simplicity, Dot replaces dashboard overload by delivering precise answers in seconds rather than days.
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    New Era Titans

    New Era Titans

    New Era Titans

    New Era Titans is a unified web-based compliance and driver management platform built to centralize and automate DOT-regulated employer workflows by managing driver documents, qualification files, and compliance tasks in one secure system. It simplifies recruitment with an online DOT driver application that collects consents and signatures electronically and consolidates all required FMCSA driver qualification file (DQF) documents, such as MVRs, CDLIS history, background checks, drug testing, physical/medical exams, crash and inspection reports, and employment verifications, so fleets no longer juggle multiple tools or paperwork. It provides real-time compliance reporting with automated reminders for expiring licenses, medical certifications, annual MVRs, and Clearinghouse queries, and supports streamlined communication via email and SMS for collecting documents and data from drivers.
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    Apache Hive

    Apache Hive

    Apache Software Foundation

    The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.
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    CFDS

    CFDS

    Commercial Fleet Data Systems

    Our mission is to provide software and services that enable safety operations and management teams to accurately identify and monitor vital information regarding drivers, vehicles and equipment. The CFDS cloud-based software allows you to track date-sensitive items as defined by the Federal Motor Carrier Safety Association. At CFDS, our web application is specifically designed to help Motor Carriers manage and understand FMCSA’s CSA program. Cloud-based Intermodal, TL & local P&D operations and dispatching software. Cloud-based driver application integrated with qualifications evaluation and tracking. Driver Reviews/Vehicle/Equipment Date Expirations: Track and update Due Dates on items pertaining to driver/ trucks/equipment. Qualifying a potential candidate as a driver/owner-operator? CFDS’ new features offer screening services for all candidates with quick and trustworthy results.
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    OpenAccess SDK

    OpenAccess SDK

    Progress Software

    Build standards-based connectivity (ODBC, JDBC, ADO.NET) for underlying data that is compatible with the most popular analytical and data integration tools. Personally identifiable information that shouldn’t be seen by all users can be hidden or exposed only on a need-to-know basis. OpenAccess SDK is a tool developer can use to handle 99% of the code required to produce a standards-based driver with SQL support. OpenAccess SDK lets you quickly create a standards-based, ASNI-SQL compliant ODBC, JDBC, or ADO.NET driver for your unique requirements without the domain expertise and heavy lift of full code development. Quickly generate a custom driver using our prebuilt addons or develop directly against SDK interfaces. Provides the fastest way to make your application compatible with data-centric tools, such as BI and analytics, ETL, and more. Enables implementation of a single interface for data access from all standards-based APIs.
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    BigLake

    BigLake

    Google

    BigLake is a storage engine that unifies data warehouses and lakes by enabling BigQuery and open-source frameworks like Spark to access data with fine-grained access control. BigLake provides accelerated query performance across multi-cloud storage and open formats such as Apache Iceberg. Store a single copy of data with uniform features across data warehouses & lakes. Fine-grained access control and multi-cloud governance over distributed data. Seamless integration with open-source analytics tools and open data formats. Unlock analytics on distributed data regardless of where and how it’s stored, while choosing the best analytics tools, open source or cloud-native over a single copy of data. Fine-grained access control across open source engines like Apache Spark, Presto, and Trino, and open formats such as Parquet. Performant queries over data lakes powered by BigQuery. Integrates with Dataplex to provide management at scale, including logical data organization.
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    Enterprise Enabler

    Enterprise Enabler

    Stone Bond Technologies

    It unifies information across silos and scattered data for visibility across multiple sources in a single environment; whether in the cloud, spread across siloed databases, on instruments, in Big Data stores, or within various spreadsheets/documents, Enterprise Enabler can integrate all your data so you can make informed business decisions in real-time. By creating logical views of data from the original source locations. This means you can reuse, configure, test, deploy, and monitor all your data in a single integrated environment. Analyze your business data in one place as it is occurring to maximize the use of assets, minimize costs, and improve/refine your business processes. Our implementation time to market value is 50-90% faster. We get your sources connected and running so you can start making business decisions based on real-time data.
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    VeloDB

    VeloDB

    VeloDB

    Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.
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    Simba

    Simba

    insightsoftware

    Common dashboards, reporting, and ETL tools often lack connectivity to certain data sources, creating integration challenges for users. Simba offers ready-to-use, standards-based drivers that ensure compatibility, simplifying the connectivity process. Companies that provide data to customers struggle to offer headache-free, easy data connectivity to their users. Simba’s SDK allows developers to build custom, standards-based drivers, making connectivity more friendly than CSV export or API-based access. Unique backend requirements, such as specific implementation needs dictated by specific applications or internal processes, can complicate connectivity. Using Simba’s SDK or managed services enables the creation of drivers tailored to meet these requirements. Simba provides comprehensive ODBC/JDBC extensibility for a wide range of applications and data tools. Simba Drivers plug into these tools to enhance their offerings, enabling additional connectivity to data sources.
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    Red Hat JBoss Data Virtualization
    Red Hat JBoss Data Virtualization is a lean, virtual data integration solution that unlocks trapped data and delivers it as easily consumable, unified, and actionable information. Red Hat JBoss Data Virtualization makes data spread across physically diverse systems, such as multiple databases, XML files, and Hadoop systems, appear as a set of tables in a local database. Provides standards-based read/write access to heterogeneous data stores in real-time. Speeds application development and integration by simplifying access to distributed data. Integrate and transform data semantics based on data consumer requirements. Provides centralized access control, and auditing through robust security infrastructure. Turn fragmented data into actionable information at the speed your business needs. Red Hat offers support and maintenance over stated time periods for the major versions of JBoss products.
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    TSQL.APP

    TSQL.APP

    UX1 BV

    TSQL.APP is a web-based SQL platform for building data-driven applications directly within SQL Server. Featuring a built-in IDE, it enables developers to create responsive web apps using SQL for backend logic and UI interactions. Key features include: Dynamic UI Components: Cards represent database records in list and form views, with customizable modals for inputs, alerts, tables, and real-time reports. Action Scripting: SQL-based action scripts define app behavior, enabling CRUD operations and complex workflows. Real-Time Interactivity: Reports auto-refresh, and audio/visual alerts provide instant user feedback. Security and Accessibility: Supports secure logins, cloud access, and file management through meta tables. Extensibility: Integrates with .NET CLR for advanced operations. TSQL.APP is ideal for building adaptable business apps with responsive data handling, streamlined workflows, and custom user interactions.
    Starting Price: €220 5 Developers/Users
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    Driver Genius

    Driver Genius

    Driver Genius

    Update your drivers with one click to make your system run more stable and smoothly. You can restore all drivers with one click after reinstalling Windows. Double insurance: System restore point + Driver rollback. You can roll back to the previous driver at any time. Clean up invalid driver packages to free up disk space. Query the hardware information and working status of your computer. Real-time monitoring hardware temperature and voltage. If you replace hardware, the previous hardware data will remain in the system. Get the network back to work immediately after you change operating system. The offline driver update tool helps you quickly install the driver and restore your network connection if your computer is unable to connect to the Internet.
    Starting Price: $29.95 per 3 PCs per year
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    FleetDrive 360

    FleetDrive 360

    FleetDrive 360

    FleetDrive 360 offers a comprehensive, cloud-based solution to manage your FMCSA and DOT compliance. Using your laptop or phone, you can access and maintain your driver qualification files, drug and alcohol consortium, Clearinghouse queries, vehicle maintenance documents, accident records, and more. As you grow your business, you can utilize our tool to hire new drivers, create driver qualification files, and manage your drug and alcohol consortium. Building your business is hard – compliance doesn’t have to be.
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    HugeGraph

    HugeGraph

    HugeGraph

    HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax.
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    IBM InfoSphere Information Server
    Set up cloud environments quickly for ad hoc development, testing and productivity for your IT and business users. Reduce the risks and costs of maintaining your data lake by implementing comprehensive data governance, including end-to-end data lineage, for business users. Improve cost savings by delivering clean, consistent and timely information for your data lakes, data warehouses or big data projects, while consolidating applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job generation, type-ahead search, and backwards capability, while designing once and executing anywhere. Create data integration flows and enforce data governance and quality rules with a cognitive design that recognizes and suggests usage patterns. Improve visibility and information governance by enabling complete, authoritative views of information with proof of lineage and quality.
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    XTDB

    XTDB

    XTDB

    XTDB is an immutable SQL database designed to simplify application development and ensure data compliance. It automatically preserves data history, enabling comprehensive time-travel queries. Users can perform as-of queries and audits using SQL commands. XTDB is trusted by various companies to transform dynamic and temporal applications. It is easy to get started with via HTTP, plain SQL, or various programming languages, requiring only a client driver or Curl. Users can effortlessly insert data immutably, query it across time, and execute complex joins. Risk systems benefit directly from bitemporal modeling. Valid time can be used to correlate out-of-order trade data whilst making compliance easy. Exposing data across an organization is a challenge when things are changing all the time. XTDB simplifies data exchange and can power advanced temporal analysis. Modeling future pricing, tax, and discount changes requires extensive temporal queries.
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    MindsDB

    MindsDB

    MindsDB

    MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. Our Values: - Connect to a wide range of data sources and applications using a single interface and language using the Federated query engine. - MindsDB's Knowledge Base unifies and makes sense of structured and unstructured data. - Minds "Cognition" understands, plans, finds, and retrieves the best data to respond to questions while offering full transparency of their thoughts and user actions to IT/operators. MindsDB offers AI solutions for Open Source and Minds Enterprise.
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    Apache Ignite

    Apache Ignite

    Apache Ignite

    Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.
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    TURBOARD

    TURBOARD

    TURBOARD

    TURBOARD is a comprehensive business intelligence and data analytics tool that brings scattered business data together into unified, visual dashboards and reports with an intuitive drag-and-drop interface and conversational AI assistant to make analysis fast and accessible. It lets users connect to all major data sources, automatically transform raw data into clear charts, scorecards, and key performance indicators, and explore insights using built-in AI by asking questions in natural language. TURBOARD supports advanced analytics including predictive modeling, trend tracking, SQL-based expressions, extended filtering, what-if simulations, spreadsheet-like calculations, and geospatial visualization with interactive map layers. It also offers flexible export options, conditional formatting, customizable themes, and integration capabilities for embedding dashboards into external systems.
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    Apache Doris

    Apache Doris

    The Apache Software Foundation

    Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation. Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine. Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL. Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches. Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.
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    Fernhill SCADA

    Fernhill SCADA

    Fernhill Software

    Fernhill SCADA is a scalable SCADA offer based on a client server architecture. Supports multiple clients and redundant architectures. Easy to use and setup. Drivers for common PLCs: Allen Bradley, Mitsubishi Melsec, Omron, Siemens S7 & more. Open protocol drivers for: BACnet, DNP3, Modbus. Supports open data access interfaces including OPC UA, OPC Classic, ODBC, MQTT & more. Built-in historian and trending. Configured using a single Integrated Development Environment (IDE). The runtime works across multiple platforms including Windows, Linux, macOS, Android and iOS. Free runtime - deploy any number of SCADA systems with one low cost developer license.
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    UniverseBridge

    UniverseBridge

    Analytics8

    With UniverseBridge, you can seamlessly integrate your data residing in SAP BusinessObjects into your data visualization apps, allowing you to leverage your corporate business logic already developed within your SAP BusinessObjects Universes. Use what you’ve already built in BusinessObjects to create interactive visualizations and apps. Easily leverage all of your existing corporate business logic, associate data across legacy Universes and other data sources without rebuilding. Leverage the power of your existing BusinessObjects Universes without having to re-build SQL Queries or invest in new solutions. Do your front-end design with data visualization tools while letting your business users work with the tool of their choice. Federate data across legacy Universes without migrating to Multi Source Universes. We’ll help you with the entire data and analytics lifecycle, from strategy to implementation, so you can make sense of your data and use it to solve complex business problems.
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    Trino

    Trino

    Trino

    Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.
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    Apache Impala
    Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.
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    CONNX

    CONNX

    Software AG

    Unlock the value of your data—wherever it resides. To become data-driven, you need to leverage all the information in your enterprise across apps, clouds and systems. With the CONNX data integration solution, you can easily access, virtualize and move your data—wherever it is, however it’s structured—without changing your core systems. Get your information where it needs to be to better serve your organization, customers, partners and suppliers. Connect and transform legacy data sources from transactional databases to big data or data warehouses such as Hadoop®, AWS and Azure®. Or move legacy to the cloud for scalability, such as MySQL to Microsoft® Azure® SQL Database, SQL Server® to Amazon REDSHIFT®, or OpenVMS® Rdb to Teradata®.