Stream data from Apache Kafka to SingleStore Dekaf
Sync your Apache Kafka data with SingleStore Dekaf in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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.

SingleStore Dekaf connector details
The SingleStore (Dekaf) connector streams Flow collections as Kafka-compatible messages that can be consumed directly by SingleStore pipelines. It enables real-time data ingestion from Estuary into SingleStore’s distributed SQL engine for hybrid transactional and analytical workloads.
- Real-time delivery: Streams collection updates to SingleStore pipelines over Kafka in Avro format.
- High-performance integration: Leverages SingleStore’s native ingestion pipeline for low-latency, scalable data flow.
- Simple authentication: Uses a configurable auth token as both the Kafka and Schema Registry credential.
- Flexible configuration: Each Flow collection is published as a separate Kafka topic for easy mapping.
- Deletion handling: Supports both standard Kafka-style deletes and CDC deletion modes for downstream processing.
- Quick setup: Define a pipeline in SingleStore with the
LOAD DATA KAFKAcommand and start ingesting immediately.
💡 Tip: Use ReplacingMergeTree or similar table engines in SingleStore when handling CDC deletions to maintain accurate, up-to-date data states across real-time pipelines.
How to integrate Apache Kafka with SingleStore Dekaf in 3 simple steps using Estuary Flow
Connect Apache Kafka as Your Real-Time Data Source
Set up a real-time source connector for Apache Kafka in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure SingleStore Dekaf as Your Target
Choose SingleStore Dekaf as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Apache Kafka connector.
- Enter Details: Add your Apache Kafka connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Apache Kafka capture, and publish.
What is Apache Kafka?
How do I Transfer Data from Apache Kafka?
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Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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