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REAL-TIME ETL & CDC

Stream into Oracle MySQL Heatwave 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
01. Select a source02. Transform in-flight03. Deliver to Oracle MySQL Heatwave
Oracle MySQL Heatwave logo
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Oracle MySQL Heatwave logo

Oracle MySQL Heatwave connector details

The Oracle MySQL Heatwave materialization connector in Estuary Flow delivers data from your pipelines directly into your destination system — continuously and in real time. Using merge-based writes, Flow efficiently updates only changed records, ensuring your destination stays perfectly in sync without unnecessary reprocessing. Whether for analytics, AI, or operational use cases, Estuary Flow provides a reliable, cost-efficient way to keep Oracle MySQL Heatwave up to date.
  • Log-based CDC for high-performance, low-impact data capture
  • Automatic schema evolution to handle changes in source structure without manual intervention
  • Unified streaming and batch ingestion in the same pipeline
  • Hybrid deployment and BYOC support for security and control
  • Fault-tolerant pipelines that resume automatically from the last checkpoint
  • Kafka API connectivity for direct integration into streaming ecosystems

For more details about the Oracle MySQL Heatwave connector, check out the documentation page.

How to connect your data source to Oracle MySQL Heatwave in 3 easy steps

1

Connect your data source

Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

2

Prepare and transform your data

Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

3

Sync to Oracle MySQL Heatwave

Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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Trusted by data teams worldwide

All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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

See how you can integrate any source with Oracle MySQL Heatwave:

Details

or choose from these popular data sources:

PostgreSQL logo
PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
BigQuery logo
BigQuery
Snowflake Data Cloud logo
Snowflake Data Cloud

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

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

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.