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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. Move from MariaDB02. Transform in-flight03. Select a destination
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MariaDB connector details

The Estuary MariaDB connector captures real-time change data (CDC) from MariaDB databases using the binary log. It continuously streams inserts, updates, and deletes into Flow collections for analytics or replication.

  • Streams real-time CDC events via the MariaDB binary log (binlog_format=ROW)
  • Performs an initial backfill before switching to continuous CDC mode
  • Supports self-hosted, Azure Database for MariaDB, and read replica setups
  • Enables secure SSH tunneling for private network connections
  • Handles time zone configuration for accurate DATETIME capture

For more details about the MariaDB 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 from MariaDB 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 MariaDB insights always reflect the latest data by connecting your databases to MariaDB with change data capture.
  • Or connect critical SaaS apps to MariaDB 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
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