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    Stream into Google Sheets with your free account

    Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google Sheets 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 Sheets
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    Google Sheets connector details

    The Google Sheets materialization connector writes Estuary collections into sheets within a Google spreadsheet, making operational data available for lightweight reporting, collaboration, and quick analysis. Each selected collection can be mapped to a separate sheet, and Estuary keeps those sheets updated as upstream data changes.

    • Materialize Estuary collections into sheets within a selected Google spreadsheet.
    • Map each collection to a specific sheet using a separate materialization binding.
    • Authenticate with OAuth in the Estuary web app, or use a Service Account JSON key for manual configuration.
    • Share the target spreadsheet with the service account and grant edit access when using service-account authentication.
    • Use the spreadsheet URL and sheet name to configure where each collection is written.
    • Add an internal tracking column to each sheet so Estuary can maintain materialization state.

    💡 Tip: Use Google Sheets materialization for lightweight reporting, team dashboards, QA workflows, and quick operational views. For larger analytics workloads, use destinations such as BigQuery, Snowflake, Databricks, PostgreSQL, or S3.

    For more details about the Google Sheets connector, check out the documentation page.

    How to connect your data source to Google Sheets 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 Sheets

      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 Google Sheets 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

    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 Sheets, 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 Sheets through Estuary.
    • Transform and route data through Estuary collections before delivering it to Google Sheets.

    See what you can connect to Google Sheets:

    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.