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Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Apache Kafka using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
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01. Select a source02. Transform in-flight03. Deliver to Apache Kafka

Apache Kafka connector details

The Apache Kafka materialization connector publishes data from Estuary 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.

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

How to connect your data source to Apache Kafka in 3 easy steps

1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Sync to Apache Kafka
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Apache Kafka, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Apache Kafka through Estuary.
Transform and route data through Estuary collections before delivering it to Apache Kafka.

See what you can connect to Apache Kafka:

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High