Stream data from BigQuery to Timescale
Sync your BigQuery data with Timescale in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
- No credit card required
- 30-day free trial


- 100SOf connectors
- 5500+Active users
- <100MSEnd-to-end latency
- 7+GB/SECSingle dataflow

BigQuery connector details
The BigQuery Batch connector captures data from your BigQuery datasets into Flow collections by periodically running SQL queries and translating the results into JSON documents. It’s ideal for analytical workloads or datasets that don’t require continuous change tracking.
- Periodically executes queries from BigQuery tables or views and loads results into Flow collections
- Supports cursor-based incremental updates for efficient polling and reduced reprocessing
- Customizable polling intervals (default: every 24 hours) for flexible scheduling
- Uses a Google Cloud Service Account with BigQuery User and Data Viewer roles for secure access
- Works seamlessly within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: Specify a timestamp or monotonically increasing ID column as your cursor to reduce data volume and capture only new or updated records efficiently.

Timescale connector details
The TimescaleDB materialization connector writes data from Estuary collections into TimescaleDB tables, making it easy to manage and query real-time, time-series workloads. Built on the PostgreSQL connector, it provides the same configuration experience with added support for Hypertables—TimescaleDB’s time-series optimized storage.
- PostgreSQL-compatible: Fully supports PostgreSQL features and syntax while extending for time-series optimization
- Hypertable support: Easily create Hypertables using custom SQL statements in the binding configuration
- Automatic table creation: Flow creates and manages tables within your TimescaleDB database automatically
- Flexible configuration: Supports both standard and delta updates for efficient data synchronization
- Ideal for time-series data: Perfect for IoT telemetry, metrics, financial data, and operational analytics
💡 Tip: Enable Hypertables by adding SELECT create_hypertable(‘table’, ‘timestamp_column’); in your binding configuration to unlock TimescaleDB’s performance benefits for time-series queries.
How to integrate BigQuery with Timescale in 3 simple steps using Estuary Flow
Connect BigQuery as Your Real-Time Data Source
Set up a real-time source connector for BigQuery in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Timescale as Your Target
Choose Timescale as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

What customers are saying
Increase productivity 4x
With Flow companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Flow decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
Data moved
It's free up to 10 GB/month and 2 connector instances.
GB
Choose number of sources and destinations.
Your price at Estuary
Pricing comparisons
Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the BigQuery connector.
- Enter Details: Add your BigQuery connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the BigQuery capture, and publish.
What is BigQuery?
How do I Transfer Data from BigQuery?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Join Slack CommunityEstuary 101
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Watch

DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.
