Stream into Oracle MySQL Heatwave with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Oracle MySQL Heatwave using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
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01. Select a source02. Transform in-flight03. Deliver to Oracle MySQL Heatwave

Oracle MySQL Heatwave connector details

The Oracle MySQL HeatWave materialization connector in Estuary delivers data from Estuary collections directly into tables in a MySQL HeatWave database. It supports continuous materialization from real-time or batch pipelines, with configurable delete handling, secure connectivity, and table-level customization.

Materializes Estuary collections directly into MySQL HeatWave tables
Standard updates for keeping destination records synchronized
Soft deletes by default, with deletions represented through _meta/op
Optional hard deletes to remove destination rows when records are deleted upstream
Automatic table creation for configured materialization bindings
Custom SQL after table creation for additional table configuration
Configurable timezone handling for materialized datetime columns
Multiple SSL modes, including certificate and hostname verification
Username and password authentication
Support for MySQL HeatWave on Oracle Cloud Infrastructure (OCI)
SSH tunneling for OCI-hosted HeatWave instances

Each binding specifies the destination table where an Estuary collection is materialized. You can also run additional SQL after the connector creates the table, allowing further table-level configuration.

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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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Oracle MySQL Heatwave, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Oracle MySQL Heatwave through Estuary.
Transform and route data through Estuary collections before delivering it to Oracle MySQL Heatwave.

See what you can connect to Oracle MySQL Heatwave:

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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	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High