Best Data Integration Tools for Oracle Cloud Infrastructure

Compare the Top Data Integration Tools that integrate with Oracle Cloud Infrastructure as of October 2025

This a list of Data Integration tools that integrate with Oracle Cloud Infrastructure. Use the filters on the left to add additional filters for products that have integrations with Oracle Cloud Infrastructure. View the products that work with Oracle Cloud Infrastructure in the table below.

What are Data Integration Tools for Oracle Cloud Infrastructure?

Data integration tools help organizations combine data from multiple sources into a unified, coherent system for analysis and decision-making. These tools streamline the process of gathering, transforming, and loading data (ETL) from various databases, applications, and cloud services, ensuring consistent data across platforms. They provide features like data cleansing, mapping, and real-time synchronization, ensuring data accuracy and reliability. With automated workflows and connectors, data integration tools reduce manual effort and eliminate data silos, improving operational efficiency. Ultimately, they enable businesses to make better, data-driven decisions by providing a comprehensive view of their information landscape. Compare and read user reviews of the best Data Integration tools for Oracle Cloud Infrastructure currently available using the table below. This list is updated regularly.

  • 1
    IBM Cloud Pak for Integration
    IBM Cloud Pak for Integration® is a hybrid integration platform with an automated, closed-loop approach that supports multiple styles of integration within a single, unified experience. Unlock business data and assets as APIs, connect cloud and on-premise applications, reliably move data with enterprise messaging, deliver real-time event interactions, transfer data across any cloud and deploy and scale with cloud-native architecture and shared foundational services, all with end-to-end enterprise-grade security and encryption. Achieve the best results from integration with an automated, closed-loop and multi-style approach. Apply targeted innovations to automate integrations, such as natural language–powered integration flows, AI-assisted mapping and RPA, and use company-specific operational data to continuously improve integrations, enhance API test generation, workload balancing and more.
    Starting Price: $934 per month
  • 2
    Ascend

    Ascend

    Ascend

    Ascend gives data teams a unified and automated platform to ingest, transform, and orchestrate their entire data engineering and analytics engineering workloads, 10X faster than ever before.​ Ascend helps gridlocked teams break through constraints to build, manage, and optimize the increasing number of data workloads required. Backed by DataAware intelligence, Ascend works continuously in the background to guarantee data integrity and optimize data workloads, reducing time spent on maintenance by up to 90%. Build, iterate on, and run data transformations easily with Ascend’s multi-language flex-code interface enabling the use of SQL, Python, Java, and, Scala interchangeably. Quickly view data lineage, data profiles, job and user logs, system health, and other critical workload metrics at a glance. Ascend delivers native connections to a growing library of common data sources with our Flex-Code data connectors.
    Starting Price: $0.98 per DFC
  • 3
    Peaka

    Peaka

    Peaka

    Integrate all your data sources, relational and NoSQL databases, SaaS tools, and APIs. Query them as a single data source immediately. Process data wherever it is. Query, cache, and blend data from different sources. Use webhooks to ingest streaming data from Kafka, Segment, etc., into the Peaka BI Table. Replace nightly one-time batch ingestion with real-time data access. Treat every data source like a relational database. Convert any API to a table, and blend and join it with your other data sources. Use the familiar SQL to run queries in NoSQL databases. Retrieve data from both SQL and NoSQL databases utilizing the same skill set. Query and filter your consolidated data to form new data sets. Expose them with APIs to serve other apps and systems. Do not get bogged down in scripts and logs while setting up your data stack. Eliminate the burden of building, managing, and maintaining ETL pipelines.
    Starting Price: $1 per month
  • 4
    SAP Data Services
    Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing. SAP Data Services software improves the quality of data across the enterprise. As part of the information management layer of SAP’s Business Technology Platform, it delivers trusted,relevant, and timely information to drive better business outcomes. Transform your data into a trusted, ever-ready resource for business insight and use it to streamline processes and maximize efficiency. Gain contextual insight and unlock the true value of your data by creating a complete view of your information with access to data of any size and from any source. Improve decision-making and operational efficiency by standardizing and matching data to reduce duplicates, identify relationships, and correct quality issues proactively. Unify critical data on premise, in the cloud, or within Big Data by using intuitive tools.
  • 5
    WANdisco

    WANdisco

    WANdisco

    Since 2010 we have seen Hadoop become an essential part of the data management landscape. Over the decade the majority of organizations have adopted Hadoop to build out their data lake infrastructure. However, while Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities. The systems required specialized IT skills and the on-premises environments lacked the flexibility to easily scale the systems up and down as usage demands changed. The management complexity and flexibility challenges associated with on-premises Hadoop environments are much more optimally addressed in the cloud. To minimize the risks and costs associated with these data modernization efforts, many companies have selected to automate their cloud data migration with WANdisco. LiveData Migrator is a fully self-service solution requiring no WANdisco expertise or services.
  • 6
    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.
  • 7
    Simba

    Simba

    insightsoftware

    Common dashboards, reporting, and ETL tools often lack connectivity to certain data sources, creating integration challenges for users. Simba offers ready-to-use, standards-based drivers that ensure compatibility, simplifying the connectivity process. Companies that provide data to customers struggle to offer headache-free, easy data connectivity to their users. Simba’s SDK allows developers to build custom, standards-based drivers, making connectivity more friendly than CSV export or API-based access. Unique backend requirements, such as specific implementation needs dictated by specific applications or internal processes, can complicate connectivity. Using Simba’s SDK or managed services enables the creation of drivers tailored to meet these requirements. Simba provides comprehensive ODBC/JDBC extensibility for a wide range of applications and data tools. Simba Drivers plug into these tools to enhance their offerings, enabling additional connectivity to data sources.
  • 8
    Magic EDI Service

    Magic EDI Service

    Magic Software Enterprises

    The Magic EDI service platform is a centralized solution designed to automate B2B data exchanges with business partners, enhancing efficiency, accuracy, and agility. It supports a wide range of EDI messages and transport protocols, enabling seamless integration with various systems. The platform's one-to-many architecture allows for a single connection per business process, regardless of the number of connected partners, simplifying deployment and maintenance. With over 10,000 preconfigured EDI partner profiles and more than 100 certified connectors to internal business systems such as SAP, Salesforce, SugarCRM, and JD Edwards, the Magic EDI platform facilitates rapid digital connections. Additionally, it offers a self-service onboarding portal for partners, reducing setup costs and time. The platform ensures end-to-end visibility into each EDI transaction, automates supplier updates through standard EDI messages and integrates with freight management systems.
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