Change data capture (CDC)
A technique that tracks database changes in real-time and triggers automations based on inserts, updates, or deletes. More efficient than polling instead of checking for changes every 5 minutes, CDC fires instantly when data changes.
Expert insight
Change data capture (CDC) is more reliable than polling for catching every change to a database, since polling can miss two rapid changes to the same record between poll intervals, but CDC requires the source database to support it (via replication logs), which not every system does, making it unavailable for a lot of SaaS-tool integrations that only expose a REST API.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Change data capture (CDC) is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the Data category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Technical term used in production automation systems.
Related terms
See it in action
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