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Data Integration for Apache Iceberg

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    REAL-TIME ETL & CDC

    Stream into Apache Iceberg 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
    Try it freeWatch Demo
    01. Select a source02. Transform in-flight03. Deliver to Apache Iceberg
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    Apache Iceberg logo

    Apache Iceberg connector details

    The Apache Iceberg connector materializes Flow collections into Iceberg tables for large-scale analytics and lakehouse architectures. It orchestrates Spark jobs on AWS EMR Serverless (or another configured compute backend) to merge incoming changes, ensuring tables stay continuously up to date.

    • Materializes Flow collections into Apache Iceberg tables for open table formats
    • Orchestrates Spark jobs on AWS EMR Serverless to process updates
    • Supports hard deletes for accurate CDC replication or soft deletes for cost savings
    • Compatible with AWS Glue, S3 Tables, and Snowflake Open Catalogs via REST APIs
    • Configurable sync schedules to balance performance and cost

    For more details about the Apache Iceberg connector, check out the documentation page.

    How to connect your data source to Apache Iceberg 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 Apache Iceberg

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

    Learn more with some related videos

    Dive deeper into Apache Iceberg with tutorials and walkthroughs from our YouTube channel.

    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
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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.

    icon-1

    REAL-TIME INGESTION

    Capture and relay every insert, update, and delete in milliseconds.

    Real-timehigh throughput

    Point a connector and replicate changes to Apache Iceberg 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 Apache Iceberg insights always reflect the latest data by connecting your databases to Apache Iceberg with change data capture.
    • Or connect critical SaaS apps to Apache Iceberg with real-time data pipelines.

    See how you can integrate any source with Apache Iceberg:

    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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    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.