Bitquery deploys and operates dedicated ClickHouse clusters with replicas for Ethereum, Solana, and 40+ chains. Real-time on-chain data with sub-second latency, reorg-free pipelines, customizable schema, and predictable infrastructure-based pricing - the production-grade alternative to running ethereum-etl, Solana Geyser plugins, or your own Kafka-to-ClickHouse pipeline.
We deploy, operate, and monitor dedicated ClickHouse clusters with read replicas across Ethereum, Solana, BNB, Polygon, Bitcoin, Tron, and 40+ chains. Skip running ethereum-etl, Solana Geyser plugins, or your own Kafka-to-ClickHouse pipeline.
We push blocks, transactions, transfers, DEX trades, and balance updates into your ClickHouse warehouse in under 1 second - real-time data for trading, alerting, and analytics, not batch ETL.
Reorgs are handled in the pipeline - your ClickHouse tables only see consistent, finalized data. No duplicate blocks, no stale state, no broken dashboards.
Add hardware, shards, or replicas on demand to grow throughput and retention. Flat infrastructure-based pricing - no per-query fees, no surprise bills as you scale.
Pick the chains, tables, and fields you actually need. We tailor the ClickHouse schema and ingestion to your workload - from token transfers only to fully enriched datasets.
Already on a cloud warehouse? We stream the same real-time blockchain data into Google BigQuery, AWS Redshift, Snowflake, or Azure - no glue code required.
Reliable, ClickHouse-native infrastructure
Dedicated 24x7 enterprise support
A blockchain ClickHouse data warehouse is a column-oriented analytical database loaded with on-chain data - blocks, transactions, transfers, DEX trades, balances, and contract events - across one or many blockchains. Bitquery delivers this as a fully managed service: we operate dedicated ClickHouse clusters with replicas for you, and stream real-time data into them with sub-second latency.
ethereum-etl is an open-source Python toolkit for batch-exporting Ethereum data, typically into BigQuery or local files. You still have to operate nodes, schedule jobs, handle reorgs, manage backfills, and load data yourself. Bitquery is a fully managed alternative: we run nodes, ingestion, ClickHouse clusters, replicas, reorg handling, and monitoring - and the data is real-time, not batched. You query the same enriched datasets through ClickHouse SQL with no DevOps work.
Yes - that's exactly what we run for you internally. Bitquery operates Solana validators with Geyser plugins, streams data through Kafka, and lands it into ClickHouse with sub-second latency. Instead of building, deploying, and maintaining that pipeline yourself (Geyser plugin, Kafka cluster, schema design, ClickHouse ingestion, reorg handling), you get direct SQL access to the resulting warehouse.
Flipside provides shared analytical access to crypto datasets. Bitquery's data warehouse is dedicated infrastructure: you get your own ClickHouse cluster with replicas, customizable schema, and real-time ingestion - so you can build production systems (trading, alerting, compliance) on top of it instead of running ad-hoc queries on shared compute.
Bitquery supports 40+ blockchains including Ethereum, Solana, Bitcoin, BNB Chain, Polygon, Tron, Base, Arbitrum, Optimism, Avalanche, and more. Datasets include blocks, transactions, internal transactions, transfers, DEX trades, token balances, smart-contract calls, NFT events, and labeled addresses - delivered as enriched, pre-decoded ClickHouse tables.
Yes. Our streaming platform pushes new blocks, transactions, transfers, DEX trades, and balance updates into your ClickHouse warehouse in less than 1 second from the time they're produced on-chain. This makes it suitable for trading, alerting, fraud detection, and other real-time use cases, not just batch analytics.
Reorgs are handled at the pipeline layer before data reaches your ClickHouse tables. We track finality per chain, retract orphaned blocks, and only commit consistent, finalized rows. Your tables don't see duplicate blocks, stale state, or late-arriving rows that break dashboards or trading models.
Yes. We work with your engineering team to tailor the ClickHouse schema and ingestion to your workload - for example, token transfers only, DEX trades only, full enriched datasets, or a custom shape with the exact fields you need. You don't pay for ingesting data you won't use.
Pricing is flat and infrastructure-based - you pay for the cluster size and retention you choose. There are no per-query fees and no surprise bills as your query volume scales. To grow capacity, you add more hardware, shards, or replicas on demand.
Yes. If you've standardized on a cloud warehouse, Bitquery streams the same enriched, real-time blockchain data directly into Google BigQuery, AWS Redshift, Snowflake, or Azure - with no glue code on your side. You can also combine: ClickHouse for real-time and a cloud warehouse for archival or BI.
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Bitquery offers a broad selection of blockchains to get data for. The complex raw data is available in different levels of detail and from different viewpoints - whether we need simple, aggregated transfers or parameters for failed contract calls. The support is very responsive, friendly and quick to help.
Solana is the highest-throughput chain on our platform, 30 times larger than any other we serve, and we deliver it at the lowest p50 latency we hit on any production chain. The engineering problem the Pump.fun ecosystem created, the numbers from last week, and the four delivery channels that solve it.
Why Stellar custodians, anchors, and payment products use Bitquery as the upstream for their deposit-detection pipelines. The Stellar transfer schema, what each record carries, the API patterns the data supports, and how delivery works at enterprise scale through cloud data dumps to S3, Snowflake, or Google Cloud.
Why crypto data teams use Bitquery cloud data dumps as the upstream for their Tron warehouse ETL. The Tron transfer schema, what each record carries, how customers use it at production scale, and how delivery works to S3, Snowflake, or Google Cloud.
