From Legacy to Lakehouse Without Breaking Production

ON-DEMAND DEMO

 Live CDC and Replication Across the Enterprise Data Stack

The real-time data integration market is on track to double by 2030 — but most enterprise teams aren't stalling on ambition. They're stalling on trust. Moving data off SAP, DB2, or SQL Server into Snowflake, Databricks, or ClickHouse sounds straightforward until a pipeline breaks mid-run, a source system can't go offline, or a compliance audit asks who owns what moved when and where.

This session shows you exactly how modern enterprises solve it — with working pipelines. Watch CData Sync replicate continuously across the systems your teams actually run, with the reliability, governance, and deployment flexibility production environments demand.

You'll see how CData Sync:

• Uses CDC to continuously capture changes from SAP, DB2, and SQL Server — eliminating full table scans, reducing source system load, and keeping downstream targets like Snowflake, Databricks, and ClickHouse current without batch windows or manual refreshes

• Breaks down data silos across hybrid, on-prem, and cloud environments — connecting legacy and modern systems without re-architecting your infrastructure or writing a single custom script

• Keeps AI initiatives fed with fresh, governed, production-ready data — so your models, agents, and analytics aren't running on stale copies or untrustworthy pipelines

• Fault-tolerant pipelines in action: incremental checkpointing, auto-retry, and automatic recovery — so your data keeps moving even when systems don't behave