Streamkap

For data engineering teams that need fresher data without building and maintaining their own streaming infrastructure, Streamkap helps set up and manage pipelines from data sources to downstream systems. It captures database inserts, updates, and deletes through change data capture (CDC), then continuously delivers them to destinations such as data warehouses, data lakes, databases, and event systems. The app provides controls for configuring sources and destinations and monitoring pipeline status. Teams can also transform data as it flows, including filtering, joining, enriching, routing, or masking it with SQL, Python, or JavaScript. Typical uses include keeping analytics platforms current, replicating data between systems, and supplying applications or event-driven workflows with recent database changes. Streamkap supports sources including PostgreSQL, MySQL, MongoDB, and SQL Server, with destinations such as Snowflake, BigQuery, Databricks, Kafka, and Amazon S3.

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