On-chain data, delivered to your warehouse. No ingestion pipeline.
Bitquery lands petabyte-scale, decoded blockchain history and real-time updates directly in your data warehouse — Snowflake, BigQuery, Redshift or Databricks. Query it with your own SQL alongside your own data. No nodes, no ETL, no infrastructure to operate.
The data lands where your team already works.
Bitquery delivers decoded on-chain tables straight into your warehouse — no copy job to babysit. Point your existing SQL, BI and ML tools at them and they stay fresh on their own. Need a more packaged delivery? See Datashares; for ad-hoc pulls there's Data on Demand.
Snowflake
A native secure share lands Bitquery tables in your account — query decoded on-chain data with your own SQL, no copy job.
BigQuery
A shared dataset arrives in your project and refreshes on schedule, ready for Looker, dbt and BigQuery ML.
Redshift
Decoded tables delivered for Amazon Redshift — pair them with Spectrum and your existing AWS analytics stack.
Databricks
On-chain Delta tables in your lakehouse for Spark, notebooks and MLflow — governed by Unity Catalog.
Decoded tables, ready to query.
Every dataset is a typed, partitioned table — the same schema across chains. Select what you need and join it to your own data with plain SQL.
SELECT block_time, dex, pair, side, price_usd, amount_usd FROM bitquery.dex_trades WHERE chain = "ethereum" AND block_date >= "2026-06-01" ORDER BY block_time desc limit 100
Forget building an ingestion pipeline.
Nodes, decoders, schedulers and a warehouse loader — just to get queryable data. With Bitquery the table is already in your warehouse, already decoded, already fresh.
From delivered table to production, fast.
Query the warehouse tables directly, or join them to your own — it's just SQL.
Warehouse-native analytics
Run dashboards, cohorts and attribution over decoded trades, transfers and balances without moving a byte out of Snowflake, BigQuery, Redshift or Databricks.
Read the docs →Build ML features
Use clean, structured on-chain history as a feature store for ML — train in Databricks or BigQuery ML right where the data already lives.
Read the docs →BI dashboards
Wire decoded on-chain tables straight into Looker, Tableau, Power BI or Mode — governed, refreshed and ready for the whole team.
Read the docs →What teams say about our data
"We did a thorough search of the market for the best onchain data. Bitquery came out on top — and now powers all live prices across Nansen. We don't think of them as a vendor. They're a partner."
Bitquery does the hard work of parsing blockchain transaction data into a usable form so that we don't have to. We use their interface to diagnose issues with complex transactions and their analytics as a starting point for our own.
They proved they had the technology to deliver sophisticated data solutions. We extended our support through the Binance X fellowship — building an open-source library of visualization widgets on their blockchain data.
The complex raw data is available at different levels of detail and from different viewpoints — whether we need simple aggregated transfers or parameters for failed contract calls. The support is responsive, friendly and quick.
Partnering with Bitquery has been highly cost-effective — leveraging their established infrastructure rather than building our own let us rapidly expand our blockchain support and reach a much broader segment of on-chain users.
Bitquery's products are very intuitive and easy to use. We currently use their products to obtain DEX-related trading and liquidity information, which saves us the manpower and tedious technical details required to develop our own system. Their excellent technical team deserves special praise; they provide near-24/7 support and resolve issues quickly. I greatly appreciate their products and work ethic.
Bitquery provides the infrastructure we rely on every day. Fast, reliable, and comprehensive across the chains that matter to our business.
Start free. Scale when you ship.
Query every blockchain on every plan — no chain is paywalled. Move to commercial when you need volume, SLAs and bulk datashares.
- All blockchains, all plans
- 10 requests / minute
- 2 streams for testing
- GraphQL IDE access
- Scalable calls, no throttling
- SQL, Cloud, Kafka & more
- 24/7 engineering access
- Dedicated onboarding & SLA
- Snowflake, BigQuery, S3, Azure
- No setup or infrastructure
- Structured for AI agents & MCP
- Audit data for custodians
Data warehouse delivery, answered.
How does Bitquery deliver data to my warehouse?
Which warehouses do you support?
How often is the data updated?
How is this different from Datashares?
Which datasets are available?
What does pricing look like?
Put on-chain data in your warehouse.
Petabyte history, decoded, refreshed live — delivered natively into Snowflake, BigQuery, Redshift or Databricks. No ingestion pipeline to build.