Alternatives to IBM Netezza Performance Server

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

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    Teradata VantageCloud
    Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems.
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    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator

    AnalyticsCreator is a metadata-driven data warehouse automation solution built specifically for teams working within the Microsoft data ecosystem. It helps organizations speed up the delivery of production-ready data products by automating the entire data engineering lifecycle—from ELT pipeline generation and dimensional modeling to historization and semantic model creation for platforms like Microsoft SQL Server, Azure Synapse Analytics, and Microsoft Fabric. By eliminating repetitive manual coding and reducing the need for multiple disconnected tools, AnalyticsCreator helps data teams reduce tool sprawl and enforce consistent modeling standards across projects. The solution includes built-in support for automated documentation, lineage tracking, schema evolution, and CI/CD integration with Azure DevOps and GitHub. Whether you’re working on data marts, data products, or full-scale enterprise data warehouses, AnalyticsCreator allows you to build faster, govern better, and deliver
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    Amazon Redshift
    More customers pick Amazon Redshift than any other cloud data warehouse. Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between. Companies like Lyft have grown with Redshift from startups to multi-billion dollar enterprises. No other data warehouse makes it as easy to gain new insights from all your data. With Redshift you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL. Redshift lets you easily save the results of your queries back to your S3 data lake using open formats like Apache Parquet to further analyze from other analytics services like Amazon EMR, Amazon Athena, and Amazon SageMaker. Redshift is the world’s fastest cloud data warehouse and gets faster every year. For performance intensive workloads you can use the new RA3 instances to get up to 3x the performance of any cloud data warehouse.
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    IBM Db2
    IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor.
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    IBM Db2 Warehouse
    IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. It is designed to be the ideal hybrid cloud solution when you must maintain control of your data but want cloud-like flexibility. With built-in machine learning, automated scaling, built-in analytics, and SMP and MPP processing, Db2 Warehouse enables you to bring AI to your business faster and easier. Deploy a pre-configured data warehouse in minutes on your supported infrastructure of choice with elastic scaling for easier updates and upgrades. Apply in-database analytics where the data resides, allowing enterprise AI to operate faster and more efficiently. Write your application once and move that workload to the right location, whether public cloud, private cloud or on-premises — with minimal or no changes required.
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    OpenText Analytics Database (Vertica)
    OpenText Analytics Database is a high-performance, scalable analytics platform that enables organizations to analyze massive data sets quickly and cost-effectively. It supports real-time analytics and in-database machine learning to deliver actionable business insights. The platform can be deployed flexibly across hybrid, multi-cloud, and on-premises environments to optimize infrastructure and reduce total cost of ownership. Its massively parallel processing (MPP) architecture handles complex queries efficiently, regardless of data size. OpenText Analytics Database also features compatibility with data lakehouse architectures, supporting formats like Parquet and ORC. With built-in machine learning and broad language support, it empowers users from SQL experts to Python developers to derive predictive insights.
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    Dimodelo

    Dimodelo

    Dimodelo

    Stay focused on delivering valuable and impressive reporting, analytics and insights, instead of being stuck in data warehouse code. Don’t let your data warehouse become a jumble of 100’s of hard-to-maintain pipelines, notebooks, stored procedures, tables. and views etc. Dimodelo DW Studio dramatically reduces the effort required to design, build, deploy and run a data warehouse. Design, generate and deploy a data warehouse targeting Azure Synapse Analytics. Generating a best practice architecture utilizing Azure Data Lake, Polybase and Azure Synapse Analytics, Dimodelo Data Warehouse Studio delivers a high-performance, modern data warehouse in the cloud. Utilizing parallel bulk loads and in-memory tables, Dimodelo Data Warehouse Studio generates a best practice architecture that delivers a high-performance, modern data warehouse in the cloud.
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    dbForge Data Compare for SQL Server
    dbForge Data Compare for SQL Server is a specialized GUI-based tool designed to compare table data in SQL Server without the necessity to write code. Key Features: - Support for SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries - Direct results viewing with full-text data search, easy navigation, sorting, and filtering - Restoration of missing or damaged data down to a single row from native backups - Data synchronization through wizards, allowing for deployment of selected or all changes - Generation of data deployment scripts which can be executed directly or saved for recurring use - Deployment to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS - Automation of routine data comparison and synchronization tasks via a command-line interface - Accelerate routine tasks with integrated AI Assistant dbForge Data Compare integrates with SQL Server Management Studio, enhancing its d
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    Agile Data Engine

    Agile Data Engine

    Agile Data Engine

    Agile Data Engine is a comprehensive DataOps platform designed to streamline the development, deployment, and operation of cloud-based data warehouses. It integrates data modeling, transformations, continuous deployment, workflow orchestration, monitoring, and API connectivity within a single SaaS solution. The platform's metadata-driven approach automates SQL code generation and data load workflows, enhancing productivity and agility in data operations. Supporting multiple cloud database platforms, including Snowflake, Databricks SQL, Amazon Redshift, Microsoft Fabric (Warehouse), Azure Synapse SQL, Azure SQL Database, and Google BigQuery, Agile Data Engine offers flexibility in cloud environments. Its modular data product framework and out-of-the-box CI/CD pipelines facilitate seamless integration and continuous delivery, enabling data teams to adapt swiftly to changing business requirements. The platform also provides insights and statistics on data platform performance.
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    SAP BW/4HANA
    SAP BW/4HANA is a packaged data warehouse based on SAP HANA. As the on-premise data warehouse layer of SAP’s Business Technology Platform, it allows you to consolidate data across the enterprise to get a consistent, agreed-upon view of your data. Streamline processes and support innovations with a single source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based. Transform data practices to gain the efficiency and agility to deploy live insights at scale, both on premise or in the cloud. Drive digitization across all lines of business with a Big Data warehouse, while leveraging digital business platform solutions from SAP.
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    DataLakeHouse.io

    DataLakeHouse.io

    DataLakeHouse.io

    DataLakeHouse.io (DLH.io) Data Sync provides replication and synchronization of operational systems (on-premise and cloud-based SaaS) data into destinations of their choosing, primarily Cloud Data Warehouses. Built for marketing teams and really any data team at any size organization, DLH.io enables business cases for building single source of truth data repositories, such as dimensional data warehouses, data vault 2.0, and other machine learning workloads. Use cases are technical and functional including: ELT, ETL, Data Warehouse, Pipeline, Analytics, AI & Machine Learning, Data, Marketing, Sales, Retail, FinTech, Restaurant, Manufacturing, Public Sector, and more. DataLakeHouse.io is on a mission to orchestrate data for every organization particularly those desiring to become data-driven, or those that are continuing their data driven strategy journey. DataLakeHouse.io (aka DLH.io) enables hundreds of companies to managed their cloud data warehousing and analytics solutions.
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    Cloudera Data Warehouse
    Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data.
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    SwiftStack

    SwiftStack

    SwiftStack

    SwiftStack is a multi-cloud data storage and management platform for data-driven applications and workflows, seamlessly providing access to data across both private and public infrastructure. SwiftStack Storage is an on-premises, scale-out, and geographically distributed object and file storage product that starts from 10s of terabytes and expands to 100s of petabytes. Unlock your existing enterprise data and make it accessible to your modern cloud-native applications by connecting it into the SwiftStack platform. Avoid another major storage migration and use existing tier 1 storage for what it’s good for...not everything. With SwiftStack 1space, data is placed across multiple clouds, public and private, via operator-defined policies to get the application and users closer to the data. A single addressable namespace is created where data movement throughout the platform is transparent to the applications and users.
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    SAP Data Warehouse Cloud
    Connect data with business context and empower business users to unlock insights with our unified data and analytics cloud solution. SAP Data Warehouse Cloud unifies data and analytics in a cloud solution that includes data integration, database, data warehouse, and analytics capabilities to help you unleash the data-driven enterprise. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) empowers you to better understand your business data and make confident decisions based on real-time information. Connect data across multi-cloud and on-premises repositories in real-time while preserving the business context. Get insights on real-time data and analyze data with in-memory speed, powered by SAP HANA Cloud. Empower all users with self-service ability to connect, model, visualize and share their data securely, all in an IT governed environment. Leverage pre-built industry and LOB content, templates and data models.
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    Actian Avalanche
    Actian Avalanche is a fully managed hybrid cloud data warehouse service designed from the ground up to deliver high performance and scale across all dimensions – data volume, concurrent user, and query complexity – at a fraction of the cost of alternative solutions. It is a true hybrid platform that can be deployed on-premises as well as on multiple clouds, including AWS, Azure, and Google Cloud, enabling you to migrate or offload applications and data to the cloud at your own pace. Actian Avalanche delivers the best price-performance in the industry outof-the-box without DBA tuning and optimization techniques. For the same cost as alternative solutions, you can benefit from substantially better performance or chose the same performance for significantly lower cost. For example, Avalanche provides up to 6x the price-performance advantage over Snowflake as measured by GigaOm’s TPC-H industry standard benchmark and even more against many of the appliance vendors.
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    Robocopy

    Robocopy

    Windows Command Line

    Robocopy is a command-line utility for copying files. This command is available in Vista and Windows 7 by default. For Windows XP and Server 2003, this tool can be downloaded as part of Server 2003 Windows Resource Kit tools.
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    FuseHR

    FuseHR

    FuseHR

    Chances are, you have changed HCM or HR & Payroll systems at some point. What many companies fail to realize, it that important (& legally required) records get lost, either physically, or in a sea or unorganized data. Deploy a hybrid warehouse overnight in the cloud securely and at a fraction of the cost of other solutions — create a snapshot of your legacy system in the cloud. Whether it is multiple systems from upgrades or corporate mergers having multiple HCM and other human resource systems destroy your productivity. Learn how data archiving can simplify your landscape and increase your teams productivity by simplifying. Human Resources data is sensitive data that must be secure. Fuse Analytics gives you the tools to ensure your data is protected with Role based access, end to end encryption, and features that enable you to easily comply with regulations.
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    COLMAP

    COLMAP

    COLMAP

    COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license. The latest source code is available at GitHub. COLMAP builds on top of existing works and when using specific algorithms within COLMAP, please also cite the original authors, as specified in the source code. For convenience, the pre-built binaries for Windows contain both the graphical and command-line interface executables. To start the COLMAP GUI, you can simply double-click the COLMAP.bat batch script or alternatively run it from the Windows command shell or Powershell. The command-line interface is also accessible through this batch script, which automatically sets the necessary library paths. To list the available COLMAP commands, run COLMAP.bat -h in the command shell cmd.exe or in Powershell.
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    NVIDIA Onyx
    NVIDIA® Onyx® delivers a new level of flexibility and scalability to next-generation data centers. Onyx has tight turnkey integrations with popular hyperconverged and software-defined storage solutions. With its robust layer-3 protocol stack, built-in monitoring and visibility tools, and high-availability mechanisms, Onyx is an ideal network operating system for enterprise and cloud data centers. Run your custom containerized applications side by side with NVIDIA Onyx. Eliminate the need for one-off servers and seamlessly shrinkwrap solutions into the networking infrastructure. Strong integration with popular hyper-converged infrastructure and software-defined storage solutions. Classic network operating system with a traditional command-line interface (CLI) Single-line command to configure, monitor, and troubleshoot remote direct-memory access over converged Ethernet (RoCE) Support for containerized applications with complete access to the software development kit (SDK).
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    dashDB Local
    As the newest edition to the IBM dashDB family, dashDB Local rounds out IBM's hybrid data warehouse strategy, providing organizations the most flexible architecture needed to lower the cost model of analytics in the dynamic world of big data and the cloud. How is this possible? Through a common analytics engine, with different deployment options across private and public clouds, analytics workloads can be moved and optimized with ease. dashDB Local is now an option when you prefer deployment on a hosted private cloud or on-premises private cloud through a software-defined infrastructure. From an IT standpoint, dashDB Local simplifies deployment and management through container technology, with elastic scaling and easy maintenance. From a user standpoint, dashDB Local provides the speed needed to quickly cycle through the process of data acquisition, applies the right analytics to meet a specific use case, and operationalizes the insights.
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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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    Qlik Compose
    Qlik Compose for Data Warehouses provides a modern approach by automating and optimizing data warehouse creation and operation. Qlik Compose automates designing the warehouse, generating ETL code, and quickly applying updates, all whilst leveraging best practices and proven design patterns. Qlik Compose for Data Warehouses dramatically reduces the time, cost and risk of BI projects, whether on-premises or in the cloud. Qlik Compose for Data Lakes automates your data pipelines to create analytics-ready data sets. By automating data ingestion, schema creation, and continual updates, organizations realize faster time-to-value from their existing data lake investments.
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    Acterys

    Acterys

    FP&A Software

    Acterys is an integrated platform for Corporate Performance Management (CPM) and Financial Planning & Analytics (FP&A) integrated with Microsoft Azure, Power BI and Excel. Automate the integration of all your relevant data sources with connectors to a variety of ERP/ accounting / Saas solutions and run all CPM processes on a single platform based on market leading SQL Server technologies (Azure & on-premise) Profit form ready made, fully configurable application templates for all aspects of planning, forecasting and consolidation. Business users can implement FP&A and CPM processes exactly to their needs, natively integrated with your day to day productivity solutions.
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    Apache Druid
    Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.
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    Archon Data Store

    Archon Data Store

    Platform 3 Solutions

    Archon Data Store is a next-generation enterprise data archiving platform designed to help organizations manage rapid data growth, reduce legacy application costs, and meet global compliance standards. Built on a modern Lakehouse architecture, Archon Data Store unifies data lakes and data warehouses to deliver secure, scalable, and analytics-ready archival storage. The platform supports on-premise, cloud, and hybrid deployments with AES-256 encryption, audit trails, metadata governance, and role-based access control. Archon Data Store offers intelligent storage tiering, high-performance querying, and seamless integration with BI tools. It enables efficient application decommissioning, cloud migration, and digital modernization while transforming archived data into a strategic asset. With Archon Data Store, organizations can ensure long-term compliance, optimize storage costs, and unlock AI-driven insights from historical data.
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    Talend Data Fabric
    Talend Data Fabric’s suite of cloud services efficiently handles all your integration and integrity challenges — on-premises or in the cloud, any source, any endpoint. Deliver trusted data at the moment you need it — for every user, every time. Ingest and integrate data, applications, files, events and APIs from any source or endpoint to any location, on-premise and in the cloud, easier and faster with an intuitive interface and no coding. Embed quality into data management and guarantee ironclad regulatory compliance with a thoroughly collaborative, pervasive and cohesive approach to data governance. Make the most informed decisions based on high quality, trustworthy data derived from batch and real-time processing and bolstered with market-leading data cleaning and enrichment tools. Get more value from your data by making it available internally and externally. Extensive self-service capabilities make building APIs easy— improve customer engagement.
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    Oracle Autonomous Data Warehouse
    Oracle Autonomous Data Warehouse is a cloud data warehouse service that eliminates all the complexities of operating a data warehouse, dw cloud, data warehouse center, securing data, and developing data-driven applications. It automates provisioning, configuring, securing, tuning, scaling, and backing up of the data warehouse. It includes tools for self-service data loading, data transformations, business models, automatic insights, and built-in converged database capabilities that enable simpler queries across multiple data types and machine learning analysis. It’s available in both the Oracle public cloud and customers' data centers with Oracle Cloud@Customer. Detailed analysis by industry expert DSC illustrates why Oracle Autonomous Data Warehouse is a better pick for the majority of global organizations. Learn about applications and tools that are compatible with Autonomous Data Warehouse.
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    Zypper
    Zypper is a command-line package manager for installing, updating, and removing packages. It can also be used to manage repositories. Zypper works and behaves as a regular command-line tool. It features subcommands, arguments, and options that can be used to perform specific tasks. Zypper offers several benefits compared to graphical package managers. Being a command-line tool, Zypper is faster in use and light on resources. Zypper actions can be scripted. Zypper can be used on systems that do not have graphical desktop environments. This makes it suitable for use with servers and remote machines. The simplest way to execute Zypper is to type its name, followed by a command. Additionally, you can choose from one or more global options by typing them immediately before the command. Some commands require one or more arguments. Executing subcommands in the Zypper shell, and using global Zypper options are not supported.
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    YDB

    YDB

    YDB

    Entrust YDB with keeping your application state regardless of how large or frequently modified it is. Handling petabytes of data and millions of transactions per second is not an issue. Build analytical reports based on data you store in YDB with performance comparable to database management systems purpose-built for this use case. No compromises on consistency and availability are necessary. Use the YDB topics feature to reliably send data between your applications or consume change data capture feed from regular tables. Exactly-once and at-least-once semantics are available to choose from. YDB is designed to work in three availability zones, ensuring availability even if the whole availability zone goes offline. It recovers automatically after a disk, server, or data center failure with minimum latency disruptions for applications.
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    Stackable

    Stackable

    Stackable

    The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, Apache Druid, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.
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    Silverfort

    Silverfort

    Silverfort

    Silverfort’s Unified Identity Protection Platform is the first to consolidate security controls across corporate networks and cloud environments to block identity-based attacks. Using innovative agentless and proxyless technology, Silverfort seamlessly integrates with all existing IAM solutions (e.g., AD, RADIUS, Azure AD, Okta, Ping, AWS IAM), extending coverage to assets that could not previously have been protected, such as legacy applications, IT infrastructure, file systems, command-line tools, and machine-to-machine access. Our platform continuously monitors all access of users and service accounts across both cloud and on-premise environments, analyzes risk in real time, and enforces adaptive authentication and access policies.
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    Cloudera

    Cloudera

    Cloudera

    Manage and secure the data lifecycle from the Edge to AI in any cloud or data center. Operates across all major public clouds and the private cloud with a public cloud experience everywhere. Integrates data management and analytic experiences across the data lifecycle for data anywhere. Delivers security, compliance, migration, and metadata management across all environments. Open source, open integrations, extensible, & open to multiple data stores and compute architectures. Deliver easier, faster, and safer self-service analytics experiences. Provide self-service access to integrated, multi-function analytics on centrally managed and secured business data while deploying a consistent experience anywhere—on premises or in hybrid and multi-cloud. Enjoy consistent data security, governance, lineage, and control, while deploying the powerful, easy-to-use cloud analytics experiences business users require and eliminating their need for shadow IT solutions.
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    Databend

    Databend

    Databend

    Databend is a modern, cloud-native data warehouse built to deliver high-performance, cost-efficient analytics for large-scale data processing. It is designed with an elastic architecture that scales dynamically to meet the demands of different workloads, ensuring efficient resource utilization and lower operational costs. Written in Rust, Databend offers exceptional performance through features like vectorized query execution and columnar storage, which optimize data retrieval and processing speeds. Its cloud-first design enables seamless integration with cloud platforms, and it emphasizes reliability, data consistency, and fault tolerance. Databend is an open source solution, making it a flexible and accessible choice for data teams looking to handle big data analytics in the cloud.
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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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    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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    Acho

    Acho

    Acho

    Unify all your data in one hub with 100+ built-in and universal API data connectors. Make them accessible to your whole team. Transform data with simple points and clicks. Build robust data pipelines with built-in data manipulation tools and automated schedulers. Save hours spent on sending your data somewhere manually. Use Workflow to automate the process from databases to BI tools, from apps to databases. A full suite of data cleaning and transformation tools is available in the no-code format, eliminating the need to write complex expressions or code. Data is only useful when insights are drawn. Upgrade your database to an analytical engine with native cloud-based BI tools. No connectors are needed, all data projects on Acho can be analyzed and visualized on our Visual Panel off the shelf, at a blazing-fast speed too.
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    MSSQL-to-PostgreSQL

    MSSQL-to-PostgreSQL

    Intelligent Converters

    MSSQL-to-PostgreSQL is a program to migrate databases from SQL Server and Azure SQL to PostgreSQL on-premises or cloud DBMS. The program has high performance due to low-level algorithms of reading and writing data: more than 10 MB per second on an average modern system. Command line support allows to automate the migration process.
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    Firebolt

    Firebolt

    Firebolt Analytics

    Firebolt delivers extreme speed and elasticity at any scale solving your impossible data challenges. Firebolt has completely redesigned the cloud data warehouse to deliver a super fast, incredibly efficient analytics experience at any scale. An order-of-magnitude leap in performance means you can analyze much more data at higher granularity with lightning fast queries. Easily scale up or down to support any workload, amount of data and concurrent users. At Firebolt we believe that data warehouses should be much easier to use than what we’re used to. That's why we focus on turning everything that used to be complicated and labor intensive into simple tasks. Cloud data warehouse providers profit from the cloud resources you consume. We don’t! Finally, a pricing model that is fair, transparent, and allows you to scale without breaking the bank.
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    MacPorts

    MacPorts

    MacPorts

    The MacPorts Project is an open-source community initiative to design an easy-to-use system for compiling, installing, and upgrading either command-line, X11, or Aqua-based open-source software on the Mac operating system. To that end, we provide the command-line driven MacPorts software package under a 3-Clause BSD License, and through it easy access to thousands of ports that greatly simplify the task of compiling and installing open-source software on your Mac. We provide a single software tree that attempts to track the latest release of every software title (port) we distribute, without splitting them into “stable” vs. “unstable” branches, targeting mainly macOS Mojave v10.14 and later (including macOS Monterey v12 on both Intel and Apple Silicon). There are thousands of ports in our tree, distributed among different categories, and more are being added on a regular basis.
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    Actian Vector
    High-performance vectorized columnar analytics database. Consistent performance leader on TPC-H decision support benchmark over last 5 years. Industry-standard ANSI SQL:2003 support plus integration for extensive set of data formats. Updates, security, management, replication. Actian Vector is the industry’s fastest analytic database. Vector’s ability to handle continuous updates without a performance penalty makes it an Operational Data Warehouse (ODW) capable of incorporating the latest business information into your analytic decision-making. Vector achieves extreme performance with full ACID compliance on commodity hardware with the flexibility to deploy on premises, on AWS or Azure, with little or no database tuning. Actian Vector is available on Microsoft Windows for single server deployment. The distribution includes Actian Director for easy GUI based management in addition to the command line interface to easy scripting.
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    Onehouse

    Onehouse

    Onehouse

    The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion.
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    zdaemon

    zdaemon

    Python Software Foundation

    zdaemon is a Unix (Unix, Linux, Mac OS X) Python program that wraps commands to make them behave as proper daemons. zdaemon provides a script, zdaemon, that can be used to run other programs as POSIX (Unix) daemons. (Of course, it is only usable on POSIX-complient systems.) Using zdaemon requires specifying a number of options, which can be given in a configuration file, or as command-line options. It also accepts commands teling it what to do. Start a process as a daemon. Stop a running daemon process. Stop and then restart a program. Find out if the program is running. Send a signal to the daemon process. Reopen the transcript log. Commands can be given on a command line, or can be given using an interactive interpreter. We can specify a program name and command-line options in the program command. Note, however, that the command-line parsing is pretty primitive.
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    Edge Intelligence

    Edge Intelligence

    Edge Intelligence

    Start benefiting your business within minutes of installation. Learn how our system works. It's the fastest, easiest way to analyze vast amounts of geographically distributed data. A new approach to analytics. Overcome the architectural constraints associated with traditional big data warehouses, database design and edge computing architectures. Understand details within the platform that allow for centralized command & control, automated software installation & orchestration and geographically distributed data input & storage.
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    Ottomatik

    Ottomatik

    Ottomatik

    Protection against anything that can go wrong. Data centerfires, accidental bad database queries, malicious hackers & more. We get it, accidental drop queries happen. It takes just 2 minutes to undo your mistakes and restore your database whenever you need. Focus on building your software and let us worry about your information storage through automated database backups. Save time with an easy setup that involves copying + pasting a command-line installation to get set up in under 2 minutes. Configure your backup process hourly, daily, weekly and monthly backups, stored securely in the cloud. No more stress from data loss. A 1-click recovery process to download your backup from the database server gets you up and running in no time. Integrate your own storage servers (Amazon S3, Dropbox, Drive, etc), where we will store your backup files, or use our database servers for a small fee.
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    Invantive Data Hub
    Thanks to compatibility with the popular Invantive Query Tool scripting language, you can easily move business processes you have designed on Invantive Query Tool into a server environment. Besides high volume data loads you can also generate reports in Excel and other formats using data from your databases and (cloud) applications. The support for headless mode enables Invantive Data Hub to be started by batch files or from the Windows Task Scheduler. When running Invantive Data Hub in headless mode, you will enjoy the integrated logging features for ease of analysis and auditability. Schedule and run high volume data loads and extractions of cloud applications. Headless and command-line driven for use on servers. Invantive Query Tool-scripting language compatible.
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    Paralus

    Paralus

    Paralus

    Paralus is a free, open source tool that enables controlled, audited access to Kubernetes infrastructure. It provides just-in-time service account creation and user-level credential management, integrating seamlessly with existing Role-Based Access Control (RBAC) and Single Sign-On (SSO) systems. Paralus applies zero-trust security principles, ensuring secure access to Kubernetes clusters by generating, maintaining, and revoking access configurations across clusters, projects, and namespaces. It offers both a browser-based graphical user interface and command-line interface tools for managing kubeconfigs directly from the terminal. Additionally, Paralus includes comprehensive auditing tools that provide detailed logging of activities and resource access, facilitating real-time and historical tracking. Installation is straightforward, with Helm charts available for deployment across various environments, including major cloud providers and on-premises setups.
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    GeoSpock

    GeoSpock

    GeoSpock

    GeoSpock enables data fusion for the connected world with GeoSpock DB – the space-time analytics database. GeoSpock DB is a unique, cloud-native database optimised for querying for real-world use cases, able to fuse multiple sources of Internet of Things (IoT) data together to unlock its full value, whilst simultaneously reducing complexity and cost. GeoSpock DB enables efficient storage, data fusion, and rapid programmatic access to data, and allows you to run ANSI SQL queries and connect to analytics tools via JDBC/ODBC connectors. Users are able to perform analysis and share insights using familiar toolsets, with support for common BI tools (such as Tableau™, Amazon QuickSight™, and Microsoft Power BI™), and Data Science and Machine Learning environments (including Python Notebooks and Apache Spark). The database can also be integrated with internal applications and web services – with compatibility for open-source and visualisation libraries such as Kepler and Cesium.js.
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    Openbridge

    Openbridge

    Openbridge

    Uncover insights to supercharge sales growth using code-free, fully-automated data pipelines to data lakes or cloud warehouses. A flexible, standards-based platform to unify sales and marketing data for automating insights and smarter growth. Say goodbye to messy, expensive manual data downloads. Always know what you’ll pay and only pay for what you use. Fuel your tools with quick access to analytics-ready data. As certified developers, we only work with secure, official APIs. Get started quickly with data pipelines from popular sources. Pre-built, pre-transformed, and ready-to-go data pipelines. Unlock data from Amazon Vendor Central, Amazon Seller Central, Instagram Stories, Facebook, Amazon Advertising, Google Ads, and many others. Code-free data ingestion and transformation processes allow teams to realize value from their data quickly and cost-effectively. Data is always securely stored directly in a trusted, customer-owned data destination like Databricks, Amazon Redshift, etc.
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    Rclone

    Rclone

    Rclone

    Rclone is a command-line program to manage files on cloud storage. It is a feature-rich alternative to cloud vendors' web storage interfaces. Over 40 cloud storage products support rclone including S3 object stores, business & consumer file storage services, as well as standard transfer protocols. Rclone has powerful cloud equivalents to the Unix commands rsync, cp, mv, mount, ls, ncdu, tree, rm, and cat. Rclone's familiar syntax includes shell pipeline support, and --dry-run protection. It is used at the command line, in scripts, or via its API. Rclone really looks after your data. It preserves timestamps and verifies checksums at all times. Transfers over limited bandwidth; intermittent connections, or subject to quota can be restarted, from the last good file transferred. You can check the integrity of your files. Where possible, rclone employs server-side transfers to minimize local bandwidth use and transfers from one provider to another without using the local disk.
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    Synaptic

    Synaptic

    Synaptic

    Synaptic is a graphical package management program for apt. It provides the same features as the apt-get command-line utility with a GUI front-end based on Gtk+. Install, remove, upgrade and downgrade single and multiple packages. Upgrade your whole system. Manage package repositories (sources.list). Find packages by name, description, and several other attributes. Select packages by status, section, name, or a custom filter. Sort packages by name, status, size, or version. Browse all available online documentation related to a package. Download the latest changelog of a package. Lock packages to the current version. Force the installation of a specific package version. Undo/Redo selections. Built-in terminal emulator for the package manager. Debian/Ubuntu only, configure packages through the debconf system. Debian/Ubuntu only, Xapain-based fast search (thanks to Enrico Zini).