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REAL-TIME ETL & CDC

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01. Move from Apache Kafka02. Transform in-flight03. Select a destination
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Apache Kafka connector details

The Apache Kafka connector captures high-volume streaming data from Kafka topics into Flow collections with support for both Avro and JSON message formats. It integrates seamlessly with Schema Registry for schema discovery and exactly-once delivery across distributed topics.

  • Captures real-time Kafka streams from multiple topics
  • Supports Avro and JSON message formats
  • Integrates with Schema Registry for key and schema management
  • Compatible with SASL/SCRAM, AWS IAM, and TLS authentication
  • Secure deployment within Estuary’s Private and BYOC environments for compliance and governance

💡 Tip: Works with Confluent Cloud, AWS MSK, and other managed Kafka services. For best results, enable TLS and schema registry support to maintain schema integrity.

For more details about the Apache Kafka connector, check out the documentation page.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from Apache Kafka in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Apache Kafka insights always reflect the latest data by connecting your databases to Apache Kafka with change data capture.
  • Or connect critical SaaS apps to Apache Kafka with real-time data pipelines.
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Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKAFKA
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
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