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    Stream into Google Cloud SQL for PostgreSQL with your free account

    Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google Cloud SQL for PostgreSQL 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 Google Cloud SQL for PostgreSQL
    Google Cloud SQL for PostgreSQL logo
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    Google Cloud SQL for PostgreSQL logo

    Google Cloud SQL for PostgreSQL connector details

    The Google Cloud SQL for PostgreSQL materialization connector in Estuary delivers data from Estuary collections into PostgreSQL tables hosted on Google Cloud SQL. It supports continuous materialization from real-time or batch pipelines, using standard merge-based updates by default with optional delta updates for applicable workloads.

    • Standard merge-based updates by default to keep destination rows synchronized
    • Optional delta updates for workloads where changes should be applied incrementally
    • Optional hard deletes so records deleted upstream can also be removed from destination tables
    • Automatic table creation for configured materialization bindings
    • Configurable PostgreSQL schemas and table names for individual bindings
    • Google Cloud IAM or username/password authentication
    • Direct Google Cloud SQL connectivity or SSH tunneling for private network configurations
    • Configurable SSL connection behavior
    • Custom SQL during table creation for indexes or other table-level configuration
    • Automatic quoting of PostgreSQL reserved words when used as field names

    Estuary creates the destination tables used by the materialization; manually pre-created tables are not supported. The default PostgreSQL schema is public, but you can configure another default schema or override it for individual bindings.

    For more details about the Google Cloud SQL for PostgreSQL connector, check out the documentation page.

    How to connect your data source to Google Cloud SQL for PostgreSQL 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 Google Cloud SQL for PostgreSQL

      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 Google Cloud SQL for PostgreSQL, 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 Google Cloud SQL for PostgreSQL through Estuary.
    • Transform and route data through Estuary collections before delivering it to Google Cloud SQL for PostgreSQL.

    See what you can connect to Google Cloud SQL for PostgreSQL:

    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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    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.