Estuary
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REAL-TIME ETL & CDC

Stream into Google Bigquery 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
01. Select a source02. Transform in-flight03. Deliver to Google Bigquery
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Google Bigquery connector details

Estuary’s BigQuery connector materializes Flow collections into Google BigQuery tables for scalable analytics and near real-time insights. It stages data efficiently through Google Cloud Storage (GCS), supporting both standard merges and high-speed delta updates.

  • Writes Flow collections into BigQuery datasets with automatic schema management
  • Supports standard (merge) and delta update modes for performance flexibility
  • Uses GCS as a staging layer for fast and reliable data delivery
  • Enables clustering by primary keys for efficient query execution
  • Compatible with Estuary’s Private and BYOC deployments for full control over credentials and cloud access

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

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 Google Bigquery

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.

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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.

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REAL-TIME INGESTION

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

Real-timehigh throughput

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

See how you can integrate any source with Google Bigquery:

Details

or choose from these popular data sources:

PostgreSQL logo
PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
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Apache Kafka
BigQuery logo
BigQuery
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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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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.