How Xstreami Makes Real-Time MySQL CDC Operationally Simple for Business Use-Cases

This blog explains how Xstreami helps teams operationalise real-time MySQL CDC or streaming by simplifying business rule management, preview, deployment and replay—without sacrificing technical depth or reliability.

Thiyaghu February 24, 2026

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FAQ

Xstreami is a real-time MySQL streaming platform that captures changes using real-time MySQL CDC and enables MySQL CDC for business rules through a rule-based CDC platform. It helps teams build operational MySQL CDC pipelines without writing and maintaining custom streaming code.

Unlike generic tools, Xstreami focuses on operational MySQL CDC pipelines by combining rule-based CDC processing, preview workflows and controlled replays within a real-time MySQL streaming platform.

Yes. Xstreami acts as a rule-based CDC platform, allowing teams to implement MySQL CDC for business rules including joins, validations and derived fields directly on top of real-time MySQL streaming data.

Yes. Xstreami allows users to preview and validate rules on live data before activating them in production, helping avoid silent data corruption and risky deployments.

Each Xstreami license is bound to a single source and destination server. If data needs to be delivered to multiple destination server, a separate license is required for each source and destination server. This design keeps operational ownership and delivery guarantees clear.

Xstreami includes schema compatibility checks to ensure that changes such as added columns or modified data types do not silently break downstream systems. This helps teams safely evolve source schemas while maintaining reliable streaming pipelines.

Yes. Xstreami is well suited for real-time analytics pipelines and AI feature pipelines where fresh, validated and enriched data must be delivered continuously with strong operational control and reliability.

Author Bio

Thiyaghu

Thiyaghu is a technology leader who progressed from DBA to Tech Lead to Head of Tech Operations. Skilled in database systems, data architecture, and real-time streaming, he focuses on building scalable, high-performance platforms. He writes about databases, distributed systems, data streaming, performance tuning, and lessons from running technical operations.