Rocket® DataEdge™

Governed data integration to discover, access, manage, and secure all enterprise data for complete, decision-ready AI, analytics, and applications.

SUMMARY

How does DataEdge unlock the full potential of your data?

Rocket DataEdge integrates data across transactional, distributed, and cloud systems to activate its full value for AI, analytics, and enterprise scale. By creating a consistent, connected view of critical information, DataEdge accelerates growth, builds strategic advantage, and powers decision-making with complete, accurate data.

Maximize Data Integrity and AI Readiness with DataEdge

Log‑based, bidirectional CDC with transactional fidelity and schema evolution keeps sources and targets in sync to provide trusted, real-time governed data for analytics and AI.

Integrate IBM Z and IBM i sources with the most distributed and cloud targets in the industry via high-performance, vendor-agnostic connectors.

Catalog, business glossary, lineage, and semantic views enable governed, self‑service discovery and clear data relevance.

Data virtualization and federation provide a logical layer with federated query, SQL/REST, pushdown optimization, and caching to activate data without extra copies.

Central policies with role‑based access control (RBAC), masking, encryption, lineage, and audit trails enable safe self‑service and audit readiness — by design.

Curate reusable datasets and APIs; stream to warehouses, lakes, and streaming platforms with pushdown ELT to find and publish governed data products everywhere — fast.

DataEdge in Action

How does DataEdge simplify data integration?

Rocket DataEdge brings your entire data ecosystem together into a flexible, metadata-driven platform that makes integration faster, more consistent, and easier to govern.

With DataEdge, you can:

  • Connect and harmonize data across transactional, distributed, and cloud systems.
  • Create high-quality enterprise data products ready for analytics, AI, and real-time decision-making.
  • Replace months of manual integration work with minutes of click-to-configure simplicity.
  • Improve consistency and governance with a centralized, standardized approach to data integration.

Use Cases

DataEdge core capabilities

Seamless and secure data management across diverse platforms, from on-premises and distributed to the cloud for real-time data accessibility.

Automatically discover and map data across your entire hybrid infrastructure to empower even the world’s largest and most complex organizations.

Create virtual views of data from all enterprise sources to modernize or replace costly ETL and easily deliver universal access to users across the organization.

Recognized for Data Lineage, Integration, Modernization, and Operations

Enterprise data leaders are under pressure to deliver trusted, AI-ready data at scale—and Rocket DataEdge is being recognized for helping them do exactly that. Across leading industry awards, Rocket DataEdge continues to earn validation for advancing data lineage, data modernization, and unified data operations in complex, hybrid environments.

Rocket received an Honorable Mention in the Gartner® Magic Quadrant™

Rocket Software received an Honorable Mention for its DataEdge solution in the Gartner® Magic Quadrant™ for Data Integration Tools, Dec, 2025.

We’re especially proud to achieve an honorable mention in this Magic Quadrant with less than 1 year on the market. In our view, it highlights DataEdge’s ability to run modern data operations end to end—from mainframe to cloud—with embedded governance, reliable quality, and proven performance.

Rocket named “a Vendor to Watch” in IDC MarketScape 2025 Vendor Assessment

Rocket named “a Vendor to Watch” in the IDC MarketScape: Worldwide Data Integration Platforms 2025 Vendor Assessment.

We’re honored to be named a vendor to watch in this IDC Marketscape. To us, this recognition provides early validation that DataEdge delivers modern data operations that work – spanning mainframe to cloud – integrating deep governance, trusted quality, and proven technology.

Advancing Data Lineage and Data Trust

Rocket Software was named the “Most Innovative Data Lineage Solution” in the 2026 Data Management Insight A‑Team Innovation Awards. Rocket Data Intelligence, part of the DataEdge platform, provides end-to-end data lineage and metadata-driven visibility, enabling organizations to:

  • Trace where data originates
  • Understand how it changes across systems
  • Build confidence in data used for analytics and AI

You can’t scale AI without trusting your data—and you can’t trust your data without lineage. This recognition reflects DataEdge’s role in helping organizations move from uncertain data pipelines to trusted, audit-ready data foundations.

Shaping Modern Data Integration and Operations

Rocket DataEdge was named a Trend-Setting Product of 2026 by Database Trends and Applications, recognizing solutions that define modern data integration and operations. DataEdge brings together:

  • Data discovery and lineage
  • Data governance and virtualization
  • Real-time data delivery across mainframe, distributed, cloud, and streaming environments

The result: organizations can move from fragmented pipelines to consistent, scalable data operations, making it easier to deliver trusted data where and when it’s needed.

Leading Data Modernization in Financial Services

Rocket Software was recognized in the 2025 Tearsheet Data Awards in the Data Innovation category for supporting data modernization in financial services. Rocket DataEdge unlocks data from core systems, including mainframe, and delivers it to cloud and analytics platforms—without disrupting operations or compromising security. This allows organizations to:

  • Modernize legacy data environments at their own pace
  • Deliver reliable data to analytics and AI initiatives
  • Support real-time, high-impact business decisions

This recognition highlights DataEdge’s role in helping financial institutions modernize with confidence—while keeping critical systems running.

What data challenges do businesses face today?

27 %

of knowledge workers’ time is spent on searching for the data they need to do their jobs.

61 %

of executives don’t believe their organizations manage data as an asset.

94 %

of businesses don’t think the data they collect and store is completely accurate.

Frequently asked questions

What is DataEdge?
DataEdge is our flexible enterprise data integration platform that brings together governance, discovery, lineage, data virtualization (no-copy access), and real-time integration (CDC replication), so you can deliver trusted, governed, real-time data for analytics and AI. We connect IBM Z and IBM i, distributed systems, and cloud data platforms—vendor-agnostic, at enterprise scale.

How fast will we see value, and what can we deliver in 90 days?
Most teams see impact in weeks, sometimes days. Inside of 90 days you can deliver concrete wins such as pinpointing your top 10 datasets for classification (owners, sensitivity, policies), enable cost/usage telemetry by dataset, and surface lineage and sensitive data tags in security dashboards. Track KPIs like time to refresh non-prod, production defects tied to data, MTTR for data incidents, cost per dataset, and trust/freshness scores.

Will DataEdge work with our stack—and do we have to copy data?
Yes, it works across your estate without forcing copies. Use data virtualization for a logical data layer with federated query, semantic views, policy-governed SQL/REST, pushdown, and caching (no-copy access), and real-time, bi-directional CDC replication when you need continuously synced copies; either way, you can offload transforms, avoid duplicate pipelines, and reuse one CDC stream for one-to-many targets. Deliver data faster, while cutting pipeline sprawl, reducing MIPs cost, and transforming overhead by reusing one stream across many targets.

How does DataEdge keep data trusted, secure, and compliant without slowing teams down?
DataEdge operationalizes governance with automated discovery and rationalization, central policies, RBAC, and encryption. It enforces data quality and transactional fidelity, captures end-to-end, column-level lineage across hybrid sources and targets, and maintains audit trails. Controls apply at both query and delivery with lineage-driven impact analysis and policy propagation so changes don’t break downstream. The result is safe self-service, faster approvals, and audit-ready evidence—without bottlenecking teams.

How does DataEdge reduce modernization risk and protect SLAs during migrations and cutovers?
DataEdge de-risks change with low-latency CDC for parallel runs, so legacy and cloud targets stay in sync while you validate function and performance. Lineage-aware impact analysis identifies downstream dependencies, validates mappings, and helps reconcile data integrity before, during, and after cutover. Cutovers are controlled (not big-bang), with bi-directional replication for clean rollback. Integrity features (schema evolution, ordered replay, checkpoint/restart) plus end-to-end monitoring to protect SLAs throughout the transition.