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REAL-TIME ETL & CDC

Stream into SingleStore Dekaf 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
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01. Select a source02. Transform in-flight03. Deliver to SingleStore Dekaf
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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 KAFKA command 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.

For more details about the SingleStore Dekaf 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 to SingleStore Dekaf 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 SingleStore Dekaf insights always reflect the latest data by connecting your databases to SingleStore Dekaf with change data capture.
  • Or connect critical SaaS apps to SingleStore Dekaf with real-time data pipelines.
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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
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