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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



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.


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |

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