Data Integration Company Evaluation Report 2025: IBM, Microsoft and Oracle Lead with Multi-Cloud Platforms, AI-Driven Data Pipelines and Enterprise-Scale Integration Solutions

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• Over 100 data integration companies were evaluated, with top 20 categorized as quadrant leaders

  80% confidence

• The integration process includes data movement, transformation, cleansing, and enrichment - often spanning hybrid cloud, multi-cloud, and on-premise environments

  80% confidence

• Data integration serves as the foundational layer that ensures secure, reliable, and timely access to enterprise data assets as organizations advance toward AI, composable architectures, and real-time analytics

  80% confidence

• Metadata management, governance, and real-time streaming are important to maintain the integrity and reliability of enterprise data pipelines

  80% confidence

• Data integration is the process of combining data from multiple, often disparate sources into a unified view that provides accurate, consistent, and timely information to support analytics and operational needs

  80% confidence