REAL-TIME ETL & CDC

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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

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01. Select a source02. Transform in-flight03. Deliver to SQLite

SQLite connector details

The SQLite materialization connector writes data from Estuary Flow collections into a temporary, in-memory SQLite database, ideal for demos, testing, and local sandbox environments.

Purpose-built for testing: Designed for quick prototyping rather than production use
Ephemeral data: Materialized data is cleared when the connector restarts, though Flow collections remain intact
Zero configuration: Simply select a collection to materialize—no setup required
Automatic table creation: Tables are created or updated automatically based on Flow collection schemas
Reserved word handling: Automatically quotes all reserved SQLite keywords for compatibility

💡 Tip: Use this connector to explore or validate Flow collections locally before deploying to production databases.

For more details about the SQLite connector, check out the documentation page.

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 SQLite 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 SQLite insights always reflect the latest data by connecting your databases to SQLite with change data capture.
Or connect critical SaaS apps to SQLite with real-time data pipelines.

Sources

Destinations

Details

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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

Detailed Comparison

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

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