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REAL-TIME ETL & CDC

Stream into Apache Kafka with your free account

Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 100+ Connectors
  • 2-5x less than batch ELT
01. Select a source02. Transform in-flight03. Deliver to Apache Kafka
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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.

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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All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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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 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.

See how you can integrate any source with Apache Kafka:

Details

or choose from these popular data sources:

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PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
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MongoDB
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Apache Kafka
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BigQuery
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Snowflake Data Cloud

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

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.