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    Stream into Amazon S3 Parquet with your free account

    Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon S3 Parquet 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 Amazon S3 Parquet
    Amazon S3 Parquet logo
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    Amazon S3 Parquet logo

    Amazon S3 Parquet connector details

    The Amazon S3 Parquet materialization connector writes delta updates from Estuary collections to an Amazon S3 bucket in Apache Parquet format, providing efficient, columnar storage optimized for analytics and downstream data lake use cases.

    • Data format: Outputs batched delta updates as Parquet files for compact, query-ready storage
    • Upload scheduling: Configure upload intervals and file size limits to control data batching frequency
    • Flexible authentication: Supports both AWS Access Keys and IAM roles for secure access
    • Schema-aware typing: Automatically maps Estuary collection field types to equivalent Parquet data types
    • File versioning: Organizes files by path and version counters for easy traceability and reprocessing
    • Scalable and compatible: Works with AWS S3 and S3-compatible APIs, such as MinIO or Wasabi

    💡 Tip: Use this connector to build cost-efficient, analytics-ready data lakes by streaming Estuary data to S3 in Parquet format, ready for querying in Athena, Snowflake, or Databricks.

    For more details about the Amazon S3 Parquet connector, check out the documentation page.

    How to connect your data source to Amazon S3 Parquet 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 Amazon S3 Parquet

      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.

    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 Amazon S3 Parquet, 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 Amazon S3 Parquet through Estuary.
    • Transform and route data through Estuary collections before delivering it to Amazon S3 Parquet.

    See what you can connect to Amazon S3 Parquet:

    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.