CData Software, the data layer for AI, is enhancing CData Sync to meet the data pipeline demands of modern enterprises—delivering coordinated pipeline orchestration, expanded change data capture (CDC) for mission-critical systems, and native support for open table formats.
According to the company, CData Sync's latest capabilities unify real-time replication, workflow orchestration, and open standards within a single platform.
"The era of batch-and-hope data pipelines is over," said Manish Patel, GM of data integration at CData Software. "Enterprises need data flowing continuously from core systems to AI platforms, and they need to coordinate those flows without duct-taping together multiple tools. CData Sync gives teams the control and flexibility to operate data infrastructure the way modern businesses actually work."
CData Sync now includes Pipelines, enabling teams to orchestrate multi-step workflows directly within Sync. Data engineers can sequence replication jobs, transformations, and events without external orchestration tools, reducing complexity while maintaining full visibility and control over dependencies, the company said.
The redesigned API 2.0 provides a predictable, automation-friendly interface for managing Sync at scale. Organizations can programmatically configure pipelines, trigger executions, and monitor operations across distributed deployments, making it easier to integrate Sync into internal platforms or enable orchestration through external systems, including AI agents.
CData Sync expanded CDC support to include IBM DB2 (LUW and iSeries/AS400) and SAP HANA, enabling near-real-time replication from these widely deployed enterprise platforms. Organizations can now stream incremental changes from core systems of record directly into cloud analytics and AI platforms without impacting production workloads, said CData.
With native support for Delta Lake (including Microsoft Fabric via Open Mirroring) and Apache Iceberg, CData Sync allows teams to write data into open, ACID-compliant table formats. This eliminates vendor lock-in and ensures data remains accessible across analytics engines and AI platforms without proprietary dependencies.
New Workspaces provide a unified control plane for managing connections, jobs, and transformations across teams and environments. As pipeline counts grow, Workspaces ensure organizations can scale governance, enforce policies, and maintain visibility without losing operational control.
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