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Bitquery vs QuickNode: Analytics Data vs RPC Infrastructure

Compare Bitquery and QuickNode across data model, DEX and trading coverage, streaming latency, historical depth and pricing.

Bitquery vs QuickNode: Analytics Data vs RPC Infrastructure

Bitquery ships blockchain data already decoded across 40+ chains — trades, prices, holders and PnL as queryable datasets, not raw blocks you process.

How Bitquery and QuickNode Differ

QuickNode is node infrastructure — fast, global RPC endpoints with streaming and serverless functions layered on top. Bitquery is a decoded data layer — the trades, prices, holders and market structure you would otherwise derive yourself from raw blocks.

The practical question is where the decoding work lives. With QuickNode you receive chain data and build the interpretation. With Bitquery the interpretation is the product.

Bitquery

Bitquery is an API-first blockchain data platform covering 40+ chains through one decoded GraphQL schema, delivered over GraphQL, WebSocket, Kafka, Solana gRPC, MCP and cloud datashares.

Teams that choose Bitquery tend to prioritize:

  • •Pre-decoded market data — DEX trades, OHLCV, token prices, holders, realized PnL
  • •300+ DEXs across 40+ chains, normalized into one schema
  • •Sub-second streaming — under 300ms over Solana gRPC, under 500ms p95 over Kafka
  • •Server-side aggregation — one GraphQL query instead of a processing pipeline
  • •Bulk warehouse delivery — Parquet to S3, Snowflake, BigQuery, Databricks

QuickNode

QuickNode is blockchain infrastructure providing RPC node endpoints, streaming and serverless functions across many networks.

QuickNode could be a good fit if:

  • •You need low-latency RPC endpoints with global points of presence
  • •Your application reads contract state and submits transactions
  • •You want serverless functions and an add-on marketplace alongside node access
  • •You need very broad network coverage at the RPC layer
  • •You are comfortable writing your own decoding and aggregation logic

QuickNode's global node network and RPC performance are genuine strengths — Bitquery does not provide RPC access or transaction broadcasting.

Detailed Feature Comparison: Bitquery vs QuickNode

CapabilityBitqueryQuickNode
Primary roleDecoded blockchain data & analytics layerRPC node infrastructure
RPC node accessNot offeredCore strength
Send / broadcast transactionsNot offeredYes
Decoded DEX trades300+ DEXs, buys/sells, counterparties, pricesYou decode from raw data
OHLCV candles1s to 1d, computed from on-chain tradesNot a focus
Token holder distribution & snapshotsYes, historicalNot a focus
Realized PnL / top tradersYesNot offered
MEV & sandwich detectionYes, decodedNot offered
Launchpad & venue feedsPump.fun, PumpSwap, Raydium, Four.meme, perpsNot offered
Mempool / pending transactionsYes, decoded — Ethereum, BNB Chain, SolanaAvailable at RPC layer
Streaming transportsWebSocket ~1s, Kafka <500ms p95, Solana gRPC <300msStreams product
Cross-chain unified schemaYes — one schema, 40+ chainsPer-chain RPC semantics
Server-side aggregationYes — GraphQL aggregationsClient-side
Historical depthGenesis-to-tip on Enterprise; archive add-ons on self-serveArchive nodes available
Warehouse & bulk exportParquet to S3, Snowflake, BigQuery, DatabricksNot a focus
AI / MCP accessMCP server, credits from $9—
Uptime99.9%Not published
Self-serve pricing$49 / $99 / $299 per monthSelf-serve tiers available

Choosing the Right Tool: Bitquery or QuickNode

When should you choose QuickNode over Bitquery?

Choose QuickNode if:

  • •You need RPC endpoints to read state or submit transactions
  • •Node latency and geographic distribution are your constraint
  • •You want serverless functions and marketplace add-ons next to your node access
  • •Your requirement is raw chain access across many networks
  • •Your team is happy to build its own decoding and aggregation layer

When should you choose Bitquery over QuickNode?

Choose Bitquery if you need:

  • •Decoded DEX and trading data across 300+ DEXs, without writing per-protocol decoders
  • •OHLCV candles and aggregated USD prices from on-chain liquidity
  • •Holder distribution, realized PnL and top-trader rankings as ready datasets
  • •Sub-second decoded streams over Kafka or Solana gRPC
  • •One schema across 40+ chains including Bitcoin, Tron, XRP and Cardano
  • •Bulk historical delivery as Parquet, instead of replaying blocks through an archive node

FAQ

QuickNode provides RPC node infrastructure for interacting with blockchains. Bitquery provides indexed, decoded blockchain data — DEX trades, prices, holders, transfers and MEV — across 40+ chains through one schema. QuickNode delivers blocks; Bitquery delivers meaning.

For data and analytics workloads, yes. For RPC access and transaction submission, no — Bitquery does not provide node endpoints. Teams building trading, analytics or research products commonly use Bitquery rather than building an indexing layer on top of RPC.

Only by building it. Deriving DEX trades from RPC means pulling logs, decoding each protocol, resolving token metadata and computing prices. Bitquery ships that decoded across 300+ DEXs on 40+ chains, including counterparties and USD pricing.

Yes, frequently. QuickNode handles RPC reads and transaction submission; Bitquery handles the decoded market data, historical analytics and real-time streams behind the product's data surfaces.

For decoded event data, Bitquery streams at under 300ms over Solana gRPC and under 500ms p95 over Kafka with offset replay. QuickNode's streaming operates at the raw chain layer, so any decoding time you add sits on top of whatever latency it delivers.

Yes, extensively. Bitquery covers Solana DEX trades, prices, holders and transfers, plus dedicated Pump.fun, PumpSwap and Raydium feeds and the CoreCast gRPC stream at under 300ms for MEV and high-frequency workloads.

Bitquery self-serve plans are $49/month (Personal), $99/month (Pro) and $299/month (Scale), with 20% off annually, plus custom Enterprise pricing. Every paid plan starts with a 7-day free trial including live WebSocket streaming, no card required.

Yes. Bitquery delivers complete history as Hive-partitioned Parquet straight to your S3 bucket, or as a native datashare into Snowflake, BigQuery, Databricks or Azure — no API calls and no point spend.

Bitquery operates at 99.9% uptime and offers a committed uptime SLA on Enterprise plans, alongside SSO and dedicated support. Bitquery does not currently hold SOC or ISO certification for those controls.

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Bitquery Platform Overview

InterfaceLatencyBest for
GraphQL — graphql.bitquery.io~300ms queryAd-hoc queries, dashboards, backfills
WebSocket — streaming.bitquery.io~1s pushBrowser apps, live charts, alerts
Kafka — kafka.bitquery.io<500ms p95Pipelines, high-volume ingestion, replay
Solana gRPC — CoreCast<300msMEV, HFT, fastest terminals
MCP — mcp.bitquery.ioQuery-timeLLM agents, copilots, research
Cloud Datashares — S3, Snowflake, BigQueryBatch + deltasWarehouses, ML, petabyte backfills

Production Scale

40+

blockchains

30+

data products

300+

DEXs

10M+

tokens

1PB+

indexed blockchain data

10bn+

API calls per month

40,000+

developers

99.9%

uptime

Indexing since 2018.

Trusted by Nansen, Binance, 0x, Chainalysis, TRM Labs, Nexo, CoinMarketCap and Coin Metrics.

What Users Say

Bitquery is rated 4.6 out of 5 on G2. Reviewers repeatedly point to getting blockchain data at a speed they could not reach building it in-house.

Read the reviews on G2

Pricing

PlanPriceIncludes
Personal$49/mo ($39 annual)100k API points, 9 core chains, API only, personal use
Pro$99/mo ($79 annual)1M points, 100k stream-minutes, live DEX & price streams, commercial license
Scale$299/mo ($239 annual)5M points, 2M stream-minutes, all streams incl. mempool, dedicated Slack support
EnterpriseCustomComplete history across 40+ chains, unlimited streaming, Kafka, S3 Parquet, SLA, SSO
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