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    Stream into Google Bigquery with your free account

    Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google Bigquery 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 Bigquery
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    Google Bigquery logo

    Google Bigquery connector details

    Estuary’s Google BigQuery materialization connector writes Estuary collections into tables within a BigQuery dataset for scalable analytics and near real-time reporting. The connector stages data through Google Cloud Storage, then applies standard merges or high-speed delta updates so BigQuery stays current as upstream data changes.

    • Materialize Estuary collections into BigQuery tables within a selected BigQuery dataset.
    • Use a Google Cloud Storage bucket as a temporary staging area for reliable delivery into BigQuery.
    • Create the staging bucket in the same region as the destination BigQuery dataset.
    • Support both standard merge mode and delta update mode for performance and update flexibility.
    • Use a Google Cloud service account with access to the BigQuery dataset, BigQuery jobs, BigQuery read sessions, and the staging GCS bucket.
    • Enable clustering by primary keys where appropriate to improve query performance on materialized tables.
    Cosuno logo

    See how Cosuno uses Google Bigquery

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

    How to connect your data source to Google Bigquery 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 Bigquery

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

    Learn more

    Dive deeper into Google Bigquery with this quick video 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 Bigquery, 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 Bigquery through Estuary.
    • Transform and route data through Estuary collections before delivering it to Google Bigquery.

    See what you can connect to Google Bigquery:

    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.