Movatterモバイル変換

[0]ホーム
URL:

Estuary
PricingConnectors
PricingConnectors
Google Bigquery logo

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
Cosuno logo

See how Cosuno uses Google Bigquery

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

How to connect yourdata source toGoogle 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.

Get Started Free
icon-2

HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

icon-3

DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

icon-1

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 200+ 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 withGoogle Bigquery:

Details

Don't see a connector?Request and our team will get back to you in 24 hours

Pipelines asfast 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

Deliverreal-time andbatch data from DBs, SaaS, APIs, and more

Connection-1

Popularsources/destinations you cansync 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.

[8]ページ先頭
©2009-2026 Movatter.jp