Alternatives to Oracle Cloud Infrastructure Data Lakehouse

Compare Oracle Cloud Infrastructure Data Lakehouse alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Oracle Cloud Infrastructure Data Lakehouse in 2026. Compare features, ratings, user reviews, pricing, and more from Oracle Cloud Infrastructure Data Lakehouse competitors and alternatives in order to make an informed decision for your business.

  • 1
    Snowflake

    Snowflake

    Snowflake

    Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.
  • 2
    IOMETE

    IOMETE

    IOMETE

    IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control. Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual. Included in one platform: - Data Lakehouse(s) - Data Catalog - SQL Editor - Apache Spark Jobs - ML Notebooks - Orchestration Engine - Spark Connect Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible. Transparent pricing — CPU-based, no per-query fees, no billing surprises.
  • 3
    IBM watsonx.data
    Put your data to work, wherever it resides, with the open, hybrid data lakehouse for AI and analytics. Connect your data from anywhere, in any format, and access through a single point of entry with a shared metadata layer. Optimize workloads for price and performance by pairing the right workloads with the right query engine. Embed natural-language semantic search without the need for SQL, so you can unlock generative AI insights faster. Manage and prepare trusted data to improve the relevance and precision of your AI applications. Use all your data, everywhere. With the speed of a data warehouse, the flexibility of a data lake, and special features to support AI, watsonx.data can help you scale AI and analytics across your business. Choose the right engines for your workloads. Flexibly manage cost, performance, and capability with access to multiple open engines including Presto, Presto C++, Spark Milvus, and more.
  • 4
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
  • 5
    CelerData Cloud
    CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings.
  • 6
    e6data

    e6data

    e6data

    Limited competition due to deep barriers to entry, specialized know-how, massive capital needs, and long time-to-market. Existing platforms are indistinguishable in price, and performance reducing the incentive to switch. Migrating from one engine’s SQL dialect to another engine’s SQL involves months of effort. Truly format-neutral computing, interoperable with all major open standards. Enterprise data leaders are hit by an unprecedented explosion in computing demand for data intelligence. They are surprised to find that 10% of their heavy, compute-intensive use cases consume 80% of the cost, engineering effort and stakeholder complaints. Unfortunately, such workloads are also mission-critical and non-discretionary. e6data amplifies ROI on enterprises' existing data platforms and architecture. e6data’s truly format-neutral compute has the unique distinction of being equally efficient and performant across leading data lakehouse table formats.
  • 7
    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.
  • 8
    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.
  • 9
    FutureAnalytica

    FutureAnalytica

    FutureAnalytica

    Ours is the world’s first & only end-to-end platform for all your AI-powered innovation needs — right from data cleansing & structuring, to creating & deploying advanced data-science models, to infusing advanced analytics algorithms with built-in Recommendation AI, to deducing the outcomes with easy-to-deduce visualization dashboards, as well as Explainable AI to backtrack how the outcomes were derived, our no-code AI platform can do it all! Our platform offers a holistic, seamless data science experience. With key features like a robust Data Lakehouse, a unique AI Studio, a comprehensive AI Marketplace, and a world-class data-science support team (on a need basis), FutureAnalytica is geared to reduce your time, efforts & costs across your data-science & AI journey. Initiate discussions with the leadership, followed by a quick technology assessment in 1–3 days. Build ready-to-integrate AI solutions using FA's fully automated data science & AI platform in 10–18 days.
  • 10
    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.
  • 11
    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.
  • 12
    BryteFlow

    BryteFlow

    BryteFlow

    BryteFlow builds the most efficient automated environments for analytics ever. It converts Amazon S3 into an awesome analytics platform by leveraging the AWS ecosystem intelligently to deliver data at lightning speeds. It complements AWS Lake Formation and automates the Modern Data Architecture providing performance and productivity. You can completely automate data ingestion with BryteFlow Ingest’s simple point-and-click interface while BryteFlow XL Ingest is great for the initial full ingest for very large datasets. No coding is needed! With BryteFlow Blend you can merge data from varied sources like Oracle, SQL Server, Salesforce and SAP etc. and transform it to make it ready for Analytics and Machine Learning. BryteFlow TruData reconciles the data at the destination with the source continually or at a frequency you select. If data is missing or incomplete you get an alert so you can fix the issue easily.
  • 13
    Oracle Warehouse Builder
    Oracle Warehouse Builder (OWB) 11g is a data warehousing-centered data integration solution. OWB 11gR2 is pre-installed with Oracle Database 11gR2, and can be installed and used alongside Oracle Database 10gR2 and 11gR1. This page describes how Warehouse Builder is licensed and lists important links for finding more information. OWB functionality is divided into the following feature groups: Basic ETL—A basic set of ETL capabilities suitable for building simple data warehouses. (Also called Core ETL. Corresponds approximately to the Warehouse Builder 10gR1 feature set.), enterprise ETL—Advanced functionality for enterprise data warehousing and data integration projects, application Adapters for OWB—Connectivity to SAP and Oracle ERP applications. The definitive list of features included in Enterprise ETL feature set is in the Fusion Middleware 11g licensing guide, under the discussion of Oracle Data Integrator, Enterprise Edition.
  • 14
    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.
  • 15
    Oracle Database@AWS
    Oracle Database@AWS enables customers to migrate Oracle Databases, including Oracle Exadata workloads, to Oracle Exadata Database Service on Dedicated Infrastructure or Oracle Autonomous Database on Dedicated Exadata Infrastructure within AWS. This migration requires minimal to no database or application changes while maintaining full feature and architecture compatibility, performance, and availability. Customers can establish low-latency connections between Oracle Database@AWS and applications deployed in AWS, including on Amazon Elastic Compute Cloud (Amazon EC2). Oracle Database@AWS integrates directly with AWS Analytics services through zero-ETL to unify data across Oracle and AWS, enabling analytics and machine learning. Further, integration with AWS generative AI services is supported to accelerate innovation. It offers a unified experience for collaborative purchasing, management, operations, and support.
  • 16
    Oracle Cloud Infrastructure Resource Manager
    Oracle Cloud Infrastructure (OCI) Resource Manager is an Oracle-managed service that automates deployment and operations for all Oracle Cloud Infrastructure resources. Unlike Infrastructure-as-Code (IaC) offerings from other cloud vendors, the service is based on Terraform, a widely used, open source industry standard that allows DevOps engineers to develop and deploy their infrastructure anywhere. IaC allows repeatable deployments of configurations, increasing developer productivity. For auditing, Resource Manager tracks changes to infrastructure by users and timestamps. Explore an architecture and Terraform configuration for using Oracle Autonomous Data Warehouse and Oracle Analytics Cloud to optimize data management.
  • 17
    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.
  • 18
    Oracle Roving Edge Infrastructure
    Oracle Roving Edge Infrastructure accelerates deployment of cloud workloads outside the data center. Ruggedized Oracle Roving Edge Devices (Oracle REDs) deliver cloud computing and storage services at the edge of networks and in disconnected locations, allowing faster processing close to the data source and enabling faster insights into the data. Existing Oracle Cloud Infrastructure (OCI) virtual machines (VMs) and object storage can be synchronized to Oracle Roving Edge devices using the same portal and tenancy tooling as our public regions. Public and private sector customers can deploy OCI services outside Oracle Cloud Regions and Dedicated Region Cloud@Customer. Field operations teams can achieve extremely low latency for delay-sensitive cloud applications locally instead of relying on remote services with multiple network hops. Compact, portable server nodes bring Oracle Cloud Infrastructure capabilities to remote locations, even when they are completely disconnected.
  • 19
    Oracle Exadata
    Oracle Exadata is the best place to run Oracle Database, simplifying digital transformations, increasing database performance, and reducing costs. Customers achieve higher availability, greater performance, and up to 40% lower cost with Oracle Exadata, as described in Wikibon’s analysis. Oracle Cloud Infrastructure, Oracle Cloud@Customer, and on-premises deployment options enable customers to modernize database infrastructure, move enterprise applications to the cloud, and rapidly implement digital transformations. Oracle Exadata allows customers to run Oracle Database with the same high performance, scale, and availability wherever needed. Workloads easily move between on-premises data centers, Cloud@Customer deployments, and Oracle Cloud Infrastructure, enabling customers to modernize operations and reduce costs.
  • 20
    Oracle Cloud Infrastructure
    Oracle Cloud Infrastructure supports traditional workloads and delivers modern cloud development tools. It is architected to detect and defend against modern threats, so you can innovate more. Combine low cost with high performance to lower your TCO. Oracle Cloud is a Generation 2 enterprise cloud that delivers powerful compute and networking performance and includes a comprehensive portfolio of infrastructure and platform cloud services. Built from the ground up to meet the needs of mission-critical applications, Oracle Cloud supports all legacy workloads while delivering modern cloud development tools, enabling enterprises to bring their past forward as they build their future. Our Generation 2 Cloud is the only one built to run Oracle Autonomous Database, the industry's first and only self-driving database. Oracle Cloud offers a comprehensive cloud computing portfolio, from application development and business analytics to data management, integration, security, AI & blockchain.
  • 21
    Tweakstreet

    Tweakstreet

    Twineworks

    Automate your Data Science. Create data automation workflows. Design on your desktop — run anywhere. A tool for modern data integration. Tweakstreet is a tool you run on your computers. It is not a service. You are always in complete control of your data. Design using a desktop app and run anywhere: your desktop, data center, or cloud servers. Connect to anything. Tweakstreet has connectors for many common data sources such as file formats, databases, and online services. We're regularly adding new connectors to new releases. File formats. Out of the box support for common data exchange formats such as: CSV, XML, and JSON files. SQL databases. You can work with popular SQL databases like Postgres, MariaDB, SQL Server, Oracle, MySQL, or DB2. In addition Tweakstreet offers generic support for any database that has JDBC drivers. Web APIs Tweakstreet supports HTTP interfaces such as REST-style APIs. First class support for OAuth 2.0 authentication enables access to popular APIs
  • 22
    Oracle SPARC Servers
    Oracle SPARC servers deliver high performance, security, and uptime for customers’ database and Java workloads. Organizations lower the cost of modernizing UNIX infrastructure with scale-up and scale-out designs that include the Oracle Solaris operating system and virtualization software at no additional cost. Customers’ workloads run faster using the built-in acceleration of Oracle Database and Java, resulting in lower total cost of ownership (TCO). Silicon Secured Memory and end-to-end hardware data encryption secure customer data while maintaining excellent performance. Hardware optimizations for Oracle Database and Java, such as Data Analytics Acceleration, enable customers to run Oracle applications faster and more efficiently.
  • 23
    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.
  • 24
    Oracle Artificial Intelligence
    Build an intelligent enterprise using prebuilt AI, data-driven cloud applications, and a comprehensive portfolio of infrastructure and cloud platform services. Oracle’s AI offering helps organizations automate operations, drive innovation, and make smarter decisions securely. Discover how to overcome development roadblocks and accelerate development to build an AI-powered enterprise. The global study by Oracle and Enterprise Strategy Group found that AI, the Internet of Things (IoT), blockchain, and chatbots are boosting automation, process efficiencies, and business continuity. Make AI work for your business and IT operations. Accelerate automation, eliminate human errors, and get better business insights with Oracle Cloud applications and platform, and Oracle Autonomous Database—all running on Oracle’s Gen 2 Cloud.
  • 25
    Oracle PeopleSoft
    Oracle's PeopleSoft applications are designed to address the most complex business requirements. They provide comprehensive business and industry solutions, enabling organizations to increase productivity, accelerate business performance, and provide a lower cost of ownership. Oracle Cloud Infrastructure is built for enterprises seeking higher performance, lower costs, and easier cloud migration for their applications. Customers choose Oracle Cloud Infrastructure over AWS for several reasons: First, they can consume cloud services in the public cloud or within their own data center with Oracle Dedicated Region Cloud@Customer. Second, they can migrate and run any workload as is on Oracle Cloud, including Oracle databases and applications, VMware, or bare metal servers. Third, customers can easily implement security controls and automation to prevent misconfiguration errors and implement security best practices.
  • 26
    Oracle Database
    Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.
  • 27
    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.
  • 28
    Oracle Real Application Clusters (RAC)
    Oracle Real Application Clusters (RAC) is a unique, scale-everything, highly available database architecture that transparently scales both reads and writes for all workloads, including OLTP, analytics, AI vectors, SaaS, JSON, batch, text, graph, IoT, and in-memory. It effortlessly scales complex applications such as SAP, Oracle Fusion Applications, and Salesforce workloads. Oracle RAC delivers the lowest latency and highest throughput for all data needs through its unique fused cache across servers, ensuring ultrafast local data access. Parallelized workloads across all CPUs guarantee maximum throughput, and the integration of Oracle’s storage design enables seamless online storage expansion. Unlike other databases that depend on public cloud infrastructures, sharding, or read replicas for scalability, Oracle RAC guarantees the lowest latency and highest throughput out of the box.
  • 29
    Oracle Data Integrator
    Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services. Oracle Data Integrator (ODI) 12c, the latest version of Oracle’s strategic Data Integration offering, provides superior developer productivity and improved user experience with a redesigned flow-based declarative user interface and deeper integration with Oracle GoldenGate. ODI12c further builds on its flexible and high-performance architecture with comprehensive big data support and added parallelism when executing data integration processes. It includes interoperability with Oracle Warehouse Builder (OWB) for a quick and simple migration for OWB customers to ODI12c. Additionally, ODI can be monitored from a single solution along with other Oracle technologies and applications through the integration with Oracle Enterprise Manager 12c.
  • 30
    Oracle Cloud Infrastructure Data Catalog
    Oracle Cloud Infrastructure (OCI) Data Catalog is a metadata management service that helps data professionals discover data and support data governance. Designed specifically to work well with the Oracle ecosystem, it provides an inventory of assets, a business glossary, and a common metastore for data lakes. OCI Data Catalog is fully managed by Oracle and runs with all the power and scale of Oracle Cloud Infrastructure. Benefit from all of the security, reliability, performance, and scale of Oracle Cloud while using OCI Data Catalog. Using REST APIs and SDKs, developers can integrate OCI Data Catalog’s capabilities in their custom applications. Using a trusted system for managing user identities and access privileges, administrators can control access to data catalog objects and capabilities to manage security requirements. Discover data assets across Oracle data stores on-premises and in the cloud to start gaining real value from data.
  • 31
    Oracle NoSQL Database
    Oracle NoSQL Database is designed to handle high-volume, high-velocity data applications requiring low-latency responses and flexible data models. It supports JSON, table, and key-value data types, and operates both on-premise and as a cloud service. The database scales elastically to meet dynamic workloads and provides distributed data storage across multiple shards, ensuring high availability and rapid failover. It includes Python, Node.js, Java, C, C#, and REST API drivers for easy application development. Additionally, it integrates with Oracle products such as IoT, Golden Gate, and Fusion Middleware. Oracle NoSQL Database Cloud Service is a fully managed service, freeing developers from backend infrastructure management. Oracle NoSQL Database Cloud Service is a fully managed database service for developers who want to focus on application development without dealing with the hassle of managing the back-end hardware and software infrastructure.
  • 32
    Oracle Cloud Infrastructure Data Flow
    Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.
  • 33
    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.
  • 34
    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.
  • 35
    Oracle Autonomous Database
    Oracle Autonomous Database is a fully automated cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. It supports a wide range of data types and models, including SQL, JSON documents, graph, geospatial, text, and vectors, enabling developers to build applications for any workload without integrating multiple specialty databases. Built-in AI and machine learning capabilities allow for natural language queries, automated data insights, and the development of AI-powered applications. It offers self-service tools for data loading, transformation, analysis, and governance, reducing the need for IT intervention. It provides flexible deployment options, including serverless and dedicated infrastructure on Oracle Cloud Infrastructure (OCI), as well as on-premises with Exadata Cloud@Customer.
  • 36
    dataZap

    dataZap

    ChainSys

    Cloud to cloud and on premise to cloud data cleansing, migration, integration and reconciliation. Runs on OCI and offers secure connections to your Oracle Enterprise Applications on Cloud and on premise One platform for data & setup migrations, integrations, reconciliations, big data ingestions & archival 9000+ pre-built API templates and web services Data quality engine has pre-configured business rules to profile, clean, enrich & correct data Configurable, agile, and low code/no code Fully cloud-enabled so usage can be immediate Migration platform for migrating data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft and many other enterprise application environments, from any of above systems and many legacy applications. It is a robust and scalable Data Migration platform with a user-friendly interface. More than 3000+ Smart Data Adapters are available covering various Oracle Applications.
  • 37
    Oracle Audit Vault and Database Firewall
    Oracle Audit Vault and Database Firewall monitors Oracle and non-Oracle database traffic to detect and block threats, as well as improves compliance reporting by consolidating audit data from databases, operating systems, directories, and other sources. It can be deployed on-premises or in the Oracle Cloud. Oracle Audit Vault and Database Firewall (AVDF) is a complete Database Activity Monitoring (DAM) solution that combines native audit data with network-based SQL traffic capture. AVDF includes an enterprise quality audit data warehouse, host-based audit data collection agents, powerful reporting and analysis tools, alert framework, audit dashboard, and a multi-stage Database Firewall. Dozens of out-of-the-box compliance reports provide easy, schedulable, customized reporting for regulations such as GDPR, PCI, GLBA, HIPAA, IRS 1075, SOX, and UK DPA.
  • 38
    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.
  • 39
    Mozart Data

    Mozart Data

    Mozart Data

    Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required.
  • 40
    Oracle Reports
    Oracle Reports, a component of Oracle Fusion Middleware is Oracle's award-winning, high-fidelity enterprise reporting tool. It enables businesses to provide instant access to information to all levels within and outside of the organization in a scalable and secure environment. Oracle Reports consists of Oracle Reports Developer, a powerful, declarative WYSIWYG reports design tool, and a JEE 5-based Oracle Reports Server with multi-tier architecture to access any data sources, generate reports in any popular format for web and paper, and burst and distribute reports to any destination. Oracle remains committed to the development of this technology and to the ongoing release as a component of the Oracle Fusion Middleware platform.
  • 41
    Oracle Linux
    An open and complete operating environment, Oracle Linux delivers virtualization, management, and cloud native computing tools, along with the operating system, in a single support offering. Oracle Linux is 100% application binary compatible with Red Hat Enterprise Linux. Search the catalog to find information about independent software vendors (ISVs) who have certified their applications to run on Oracle Linux and Virtualization. Applications certified on Oracle Linux run wherever Linux runs—on-premises, in Oracle Cloud Infrastructure, and in other clouds. Join us in this Oracle Tux Tech Talk webinar on July 28 and learn how to benchmark for performance, discover the benefits of the UEK, and understand which workloads see improvement from UEK.
  • 42
    Wherobots

    Wherobots

    Wherobots

    Wherobots, the Spatial Intelligence Cloud, enables any data team to analyze data about the physical world faster, at greater scale, and at lower cost compared to traditional solutions. Built by the creators of Apache Sedona, it's a compute lakehouse engine that unifies spatial and non-spatial data, automates data workflows, and runs AI on planetary scale imagery. Spatial data refers to information about places, objects, or activities. Examples include GPS points and tracks, routes, land, road, parcel, crop, and building data, as well as imagery from drones and satellites. This data is fundamental to various industries including aerospace, mobility, ag-tech, insurance, energy, telecommunications, retail, and logistics. In one solution, Wherobots handles these diverse spatial data types and formats, with customers seeing production workloads run up to 20x faster and at lower cost than popular lakehouse engines.
  • 43
    Oracle Data Guard
    Oracle Data Guard ensures high availability, data protection, and disaster recovery for enterprise data. Oracle Data Guard provides a comprehensive set of services that create, maintain, manage, and monitor one or more standby databases to enable production Oracle databases to survive disasters and data corruptions. Data Guard provides the management, monitoring, and automation software to create and maintain one or more synchronized copies of a production database to protect Oracle data from failures, disasters, human error, and data corruptions while providing high availability for mission critical applications. Data Guard is included with Oracle Database Enterprise Edition. Active Data Guard is licensed option to the Oracle Database Enterprise Edition and enables advanced capabilities that extend the basic Data Guard functionality.
  • 44
    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.
  • 45
    Oracle Cloud Functions
    ​Oracle Cloud Infrastructure (OCI) Functions is a serverless computing service that enables developers to create, run, and scale applications without managing infrastructure. Built on the open source Fn Project, it supports multiple programming languages, including Python, Go, Java, Node.js, and C#, allowing for flexible function development. Developers can deploy code directly, with OCI handling automatic provisioning and scaling of resources. It offers provisioned concurrency to maintain low-latency execution, ensuring functions are ready to accept calls instantly. A catalog of prebuilt functions is available, enabling rapid deployment of common tasks without the need to write code from scratch. Functions are packaged as Docker images, and advanced users can utilize Dockerfiles to customize runtime environments. Integration with Oracle Identity and Access Management provides fine-grained access control, while OCI Vault securely stores sensitive configuration data.
  • 46
    Oracle Analytics Server
    Oracle Analytics Server is a powerful tool that empowers business analysts and consumers to uncover new insights and make faster, more informed business decisions. Oracle Analytics Server brings the modern, industry-leading capabilities of Oracle Analytics Cloud to organizations that require on-premises deployments. With Oracle Analytics Server, your organization can take advantage of augmented analytics and world-class data discovery capabilities, and manage your specific configuration needs. Oracle Analytics Server enables organizations in highly regulated industries or with multi-cloud architectures to experience the latest analytics capabilities on their own terms and preferred deployment architecture. With Oracle Analytics Server, your heritage systems can be maintained while a clear, easy, and seamless path to Oracle Cloud is ready when you are. Oracle Analytics Server includes modern, AI-powered, self-service analytics capabilities for data preparation.
  • 47
    Oracle Spatial
    In keeping with Oracle's mission to help people see data in new ways, discover insights, unlock endless possibilities, Oracle Database now includes machine learning, spatial and graph features. If you have an Oracle Database license, you can use all the industry-leading machine learning, spatial and graph capabilities for development and deployment purposes on-premise and in Oracle Cloud Database Services. Oracle's spatial database is included in Oracle's converged database, allowing developers and analysts to get started easily with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Organizations can manage different types of geospatial data, perform hundreds of spatial analytic operations, and use interactive map visualization tools with the spatial features in Oracle Autonomous Database and Oracle Database.
  • 48
    Oracle Fusion Data Intelligence
    Oracle Fusion Data Intelligence platform is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning models to deliver deeper insights and accelerate the decision-making process into actionable results. Go beyond dashboards and reports with prebuilt applications for insights and AI/ML-driven recommendations to facilitate actions. Analyze performance against objectives with more than 2,000 best-practice key metrics, dashboards, and reports for ERP, SCM, HCM, and CX. Benefit from prebuilt, connected 360-degree views of key business entities, combining data from Fusion Cloud Applications and other sources. Leverage out-of-the-box AI/ML models to predict business outcomes and uncover valuable insights. Compose your own content with custom data, analytics, AI/ML, and applications.
  • 49
    JD Edwards EnterpriseOne
    Empowering your organization to innovate in the business reality of a digital economy. Oracle’s JD Edwards software meets the demands for a modern and simplified user experience. Our purpose-built applications are aligned to how your users work. Integrated with digital technologies, our innovative approach increases productivity enabling your company to work smarter, faster, and ultimately achieve more. JD Edwards on Oracle Cloud is hybrid by design enabling your digital business through choice and control. Maximize your investment in JD Edwards EnterpriseOne on-premises solution by optimizing your infrastructure needs with Oracle's Infrastructure as Service (IaaS), extending your competitive advantage using Oracle products delivered via Platform as a Service (PaaS), and complementing your JD Edwards footprint with Oracle’s feature-rich Software as a Service (SaaS) solutions.
  • 50
    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.