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    Move your data from Oracle Database with your free account

    Capture data from Oracle Database and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

    • <100ms to batch
    • 200+ connectors
    • Managed data pipelines
    Try it freeWatch Demo
    01. Move from Oracle Database02. Transform in-flight03. Select a destination
    Oracle Database logo
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    Oracle Database logo

    Oracle Database connector details

    Estuary’s Oracle Database connector captures inserts, updates, and deletes from Oracle databases using Oracle LogMiner. It performs an initial backfill of selected tables and then continues streaming incremental changes based on Oracle SCNs, turning Oracle data into real-time Estuary collections for analytics, replication, and CDC pipelines.

    • Capture real-time CDC events from Oracle Database 11g and above using Oracle LogMiner.
    • Run an initial backfill of selected Oracle tables, then continue with incremental SCN-based change capture.
    • Support non-container Oracle databases and CDB/PDB deployments when root-container access is available.
    • Discover tables from selected Oracle schemas and capture them into Estuary collections.
    • Use a dedicated database user with table-read access, catalog permissions, LogMiner access, and access to a watermarks table.
    • Enable supplemental logging so Oracle records the row-level change data needed for CDC.
    • Choose LogMiner dictionary mode based on your workload: extract for better schema-change handling, or online for lower resource usage when schemas are stable.
    • Connect to private or cloud-hosted Oracle databases using SSH tunneling, Private deployments, or BYOC networking.
    • Tune backfill size, incremental chunk size, and SCN range for high-volume Oracle workloads.
    • Note that Oracle LogMiner does not support table or column names longer than 30 characters.

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

    How to connect Oracle Database to your destination in 3 easy steps

    1. 1

      Connect Oracle Database as your data source

      Securely connect Oracle Database and choose the objects, tables, or collections you need to sync.

    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

      Deliver to your destination

      Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

    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. Capture data from Oracle Database using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

    • Connect Oracle Database to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
    • Capture once and reuse Oracle Database data across transformations and multiple downstream destinations without rebuilding source extraction.

    See where you can send Oracle Database data:

    Details

    or choose from these popular destinations:

    PostgreSQL logo
    PostgreSQL
    MySQL logo
    MySQL
    SQL Server logo
    SQL Server
    MongoDB logo
    MongoDB
    Apache Kafka logo
    Apache Kafka
    Google Bigquery logo
    Google Bigquery
    Snowflake logo
    Snowflake

    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.