Rocket® Data Intelligence Recognized for Advancing Data Lineage

Named “Most Innovative Data Lineage Solution,” 2026 Data Management Insight A Team Innovation Awards

Profile picture of Ray Sullivan

We’re proud to be recognized as the Most Innovative Data Lineage Solution by the Data Management Insight A Team Awards.

This recognition reflects Rocket’s focus on delivering modern data operations,— enabling organizations to understand, trust, and operationalize data across complex environments.”
 

Ray Sullivan VP Product Management, Rocket DataEdge

Why data lineage matters for AI and analytics

As organizations scale AI and analytics, lineage becomes foundational to data trust and governance. Enterprise data teams rely on lineage to:

  • Trace data origins and transformations across systems.
  • Accelerate impact analysis and change management.
  • Support audit, compliance, and governance requirements.
  • Ensure AI models use trusted, explainable data.

Without lineage, data trust breaks down, and AI initiatives cannot scale safely.
 

Data lineage built into a modern data platform

Rocket® Data Intelligence, part of the Rocket® DataEdge platform, delivers enterprise data lineage across hybrid and multi-cloud environments. Key features include:

  • End-to-end lineage visibility across data systems and pipelines.
  • Metadata-driven discovery and mapping for faster data understanding.
  • Integrated governance and business context for trusted decisions.
  • Built-in impact analysis and auditability for operational confidence.

Combined with DataEdge capabilities for integration, movement, and governance, organizations can deliver real-time, trusted data, enable AI-ready data products, and operate at enterprise scale.
 

A foundation for AI-ready data

A metadata-rich foundation powers accurate lineage and faster insight, helping organizations move from fragmented data pipelines to trusted data products that support analytics and AI initiatives.

Rocket Data Intelligence helps organizations modernize data operations from core systems to the cloud, delivering the visibility, governance, and trust required for AI-driven business outcomes.
 

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