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    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
    • Managed data pipelines
    Try it freeWatch Demo
    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 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. 1

      Connect your data source

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

    2. 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. 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.

    Get Started Free

    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.

    4.8/5

    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:

    Details

    or choose from these popular data sources:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server via CDC logo
    SQL Server via CDC
    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$$$-$$$$$-$$$$$-$$$$
    Latency<100ms to scheduled5min+Varies<100ms
    EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
    Scale
    Maintenance EffortLowMediumHighHigh

    One platform for real-time and batch data pipelines

    Detailed Comparison

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

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    Connection-1

    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.