Estuary
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REAL-TIME ETL & CDC

Stream into Tinybird 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 Tinybird
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Tinybird connector details

Real-time analytics in Tinybird start with live data — and Estuary makes that possible. By using the Tinybird variant of the Dekaf connector, you can stream data from Flow collections directly into Tinybird as Kafka-compatible messages. This gives you a continuous, low-latency data feed for powering dashboards, APIs, and user-facing analytics.

  • Instant data delivery: Flow publishes updates and inserts in real time to Tinybird via Avro-encoded Kafka topics
  • Effortless authentication: Connect using your Flow materialization name as the username and your auth token as the password
  • Flexible workspace setup: Works seamlessly with both Tinybird Forward (CLI-based) and Tinybird Classic (UI-based) environments
  • Schema-aware integration: Includes an Avro schema registry endpoint that Tinybird can automatically decode
  • Custom deletion handling: Choose between kafka (null-value deletes) or cdc (explicit deletion records) modes for soft or hard delete logic
  • Optimized for analytics: Configure Tinybird datasources using MergeTree or ReplacingMergeTree engines for deduplication and efficient querying

💡 Tip: When using CDC deletion mode, extract the _is_deleted field and apply the FINAL keyword in Tinybird queries to automatically filter out deleted rows.

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

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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
Detailed Comparison

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

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