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Apache Kafka connector details
The Apache Kafka materialization connector publishes data from Estuary Flow collections to Kafka topics, enabling downstream systems to consume real-time streams of structured, reliable data.
- Continuous streaming: Streams collection updates to Kafka topics in real-time for event-driven architectures and analytics pipelines.
- Flexible message encoding: Supports both Avro (with schema registry) and JSON formats, giving teams flexibility in serialization strategy.
- Secure authentication: Compatible with SASL/PLAIN, SCRAM-SHA-256, and SCRAM-SHA-512 authentication methods, along with TLS encryption.
- Scalable configuration: Allows you to define topic partitions and replication factors for performance and redundancy.
- Schema registry support: Seamlessly integrates with Confluent Cloud or self-hosted schema registries for Avro schema management.
- At-least-once delivery: Ensures reliable message delivery with future support planned for exactly-once semantics.
💡 Tip: When connecting to Confluent Cloud, use the PLAIN SASL mechanism and provide your schema registry key and secret for authentication.


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

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

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes to 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.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |

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