Oracle named a Leader in 2023 Gartner® Magic Quadrant™ for Data Integration Tools for 15 consecutive years.

December 11, 2023 | 4 minute read
Peter Heller
Senior Director, Database and Data Integration Marketing
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Oracle has once again, been named a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration Tools.  This year, Gartner concluded that "data integration tools market is thriving due to upcoming requirements for data fabric architectures and data product delivery, as well as the need for integrated data to support GenAI."  We think that in comparison to last year, Oracle has improved its position in the Leaders quadrant.

Figure 1: Y23Q3 Magic Quadrant for Data Integration Tools

Gartner complements their Magic Quadrant with a detailed analysis of the critical capabilities of each vendor’s solution in their 2023 Gartner® Critical Capabilities for Data Integration Tools.  Oracle scored highest in Cloud Data Integration, and 2nd highest for Data Engineering, Operational Data Integration, Master Data Management, and Data Fabric use cases

“We are honored to be named a Leader in the 2023 Gartner Magic Quadrant for Data Integration Tools.  It’s now been fifteen consecutive years,” said Jeff Pollock, Vice President Product Management, Oracle. “We thank our customers for their partnership and collaboration. Over the past two decades, Oracle has continuously invested in an expanding our comprehensive portfolio of data integration solutions that enable customers to dynamically connect data and automate data delivery across their data fabric."

"A key reason for our product success is our unified development, operations, and support strategy across engineering teams spanning Oracle Cloud Infrastructure, Oracle Database, Oracle GoldenGate, and Oracle Data Integration.  Our latest cloud deployments, appeal to both our large legacy install base and our newest cloud-only customers.  We look forward to many more years helping our customers achieve more with their data and investing in market-leading innovations.”

Gartner characterizes the data integration tools market into five operational and analytics uses that most enterprises face today. 

  • Data engineering: Building, managing and operationalizing data pipelines supporting analytical demands, and related architectural patterns, tools and methodologies.
  • Cloud data integration: Migrating and modernizing data workloads in the public cloud with an architecture that spans on-premises and one or more cloud ecosystems (hybrid/multicloud/intercloud).
  • Operational data integration: Uses include transformation and loading (ETL), data acquisition and sharing, application data access and delivery, partner data sharing, and data consolidation related to critical business processes.
  • Master data management (MDM): Creating, maintaining, and managing master data, data hubs, data quality tasks, and data governance functions such as business rules, hierarchy management and policy enforcement.
  • Data fabric design support: Data fabric design enables access to trusted data across distributed landscapes by using active metadata, semantics, and machine learning capabilities.

The Oracle Integration products and services portfolio is a comprehensive collection of data and application integration capabilities across all of these areas. Oracle remains committed to enhancements to its OCI-based and on-premises data integration products, with clear product roadmaps for both.

To catchup on the entire ecosystem of evolving connectivity visit our websites:  Oracle GoldenGate, OCI GoldenGateOCI GoldenGate with the new embedded ETL/Data Transforms, Oracle Data Integrator, Oracle Autonomous Data Studio, and Application adapters using OCI Data Integration.

Those at the leading edge of real-time business operations, engagement, and analytics are seeking faster-than-ever operational and analytical data integration across their legacy and multicloud data stores.  Real-time connections are the foundation of real-time experiences and the necessary foundation for trusted generative AI and large language models. For more thoughts about transforming your data estate into a highly responsive data mesh, read the Oracle Data Mesh ebook and the Oracle Data Mesh for Retail industry ebook.

Read the 2023 Gartner Magic Quadrant for Data Integration Tools.

Read the 2023 Gartner Critical Capabilities for Data Integration Tools.


GARTNER and Magic Quadrant are registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and are used herein with permission. All rights reserved. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose

Gartner, Magic Quadrant for Data Integration Tools, by Ehtisham Zaidi, Robert Thanaraj, Sharat Menon, Thornton Craig, Roxane Edjlali, Michele Launil, 4 December 2023

Gartner, Critical Capabilities for Data Integration Tools, by Robert Thanaraj, Ehtisham Zaidi, Sharat Menon, Thornton Craig, Roxane Edjlali, Michele Launi, 4 December 2023

Peter Heller

Senior Director, Database and Data Integration Marketing

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