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Bitquery vs Alchemy: Decoded Data vs Node Access

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

Bitquery vs Alchemy: Decoded Data vs Node Access

Bitquery decodes 40+ chains into one schema, so answering “who traded what, where, at what price” is a single query — not a pipeline you build on top of RPC.

How Bitquery and Alchemy Differ

Alchemy gives you the chain. Bitquery gives you the answers from the chain. Alchemy is node and RPC infrastructure with enhanced developer APIs on top — the layer your application uses to read state and send transactions. Bitquery is an indexed, decoded analytics layer — trades, prices, holders, PnL, MEV — that you would otherwise have to build yourself by processing raw RPC output.

Most teams end up needing both. They are not substitutes so much as different floors of the same building.

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 analytics data — DEX trades, OHLCV, holders, realized PnL, transfers, MEV
  • •300+ DEXs across 40+ chains, normalized into one schema
  • •Sub-second streaming — under 300ms over Solana gRPC, under 500ms p95 over Kafka
  • •Aggregation server-side — ask for the answer, not for every block to process yourself
  • •Bulk warehouse delivery — Parquet to S3, Snowflake, BigQuery, Databricks

Alchemy

Alchemy is Web3 infrastructure providing RPC node access, enhanced APIs, webhooks and developer tooling.

Alchemy could be a good fit if:

  • •You need reliable RPC node access to read state and submit transactions
  • •Your application requires contract calls and transaction broadcasting, not analytics
  • •You want SDKs, webhooks and developer tooling for general dApp development
  • •You need wallet and account-abstraction infrastructure
  • •Your data needs stop at raw transactions, logs and token balances

Alchemy's node reliability and developer tooling are genuine strengths — Bitquery does not provide RPC access or transaction broadcasting.

Detailed Feature Comparison: Bitquery vs Alchemy

CapabilityBitqueryAlchemy
Primary roleDecoded blockchain data & analytics layerRPC node infrastructure & developer APIs
RPC node accessNot offeredCore strength
Send / broadcast transactionsNot offeredYes
Wallet & account abstraction toolingNot offeredYes
Decoded DEX trades300+ DEXs, buys/sells, counterparties, pricesNot a focus
OHLCV candles1s to 1d, computed from on-chain tradesNot a focus
Token holder distribution & snapshotsYes, historicalLimited
Realized PnL / top tradersYesNot offered
MEV & sandwich detectionYesNot offered
Mempool / pending transactionsYes — Ethereum, BNB Chain, SolanaAvailable via subscriptions
Streaming transportsWebSocket ~1s, Kafka <500ms p95, Solana gRPC <300msWebSocket subscriptions, webhooks
Cross-chain unified schemaYes — one schema, 40+ chainsPer-chain RPC semantics
Non-EVM coverageSolana, Bitcoin, Tron, XRP, Cardano and morePrimarily EVM plus Solana
Server-side aggregationYes — GraphQL aggregationsClient-side
Warehouse & bulk exportParquet to S3, Snowflake, BigQuery, DatabricksNot offered
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 Alchemy

When should you choose Alchemy over Bitquery?

Choose Alchemy if:

  • •You need RPC endpoints to read contract state or send transactions
  • •Your product is a dApp, wallet or contract front-end that talks to the chain directly
  • •You want account abstraction, gas sponsorship or embedded wallet infrastructure
  • •Node uptime and RPC throughput are the constraint you are solving
  • •Your data requirements are raw logs and balances, not decoded market data

When should you choose Bitquery over Alchemy?

Choose Bitquery if you need:

  • •Decoded DEX and trading data across 300+ DEXs without writing decoders yourself
  • •Analytics questions answered in one query — top traders, holder distribution, realized PnL
  • •OHLCV candles and USD prices aggregated from on-chain liquidity
  • •Sub-second streaming over Kafka or Solana gRPC for MEV and high-frequency workloads
  • •One schema across 40+ chains including Bitcoin, Tron, XRP and Cardano
  • •Bulk historical delivery into a warehouse, rather than replaying blocks over RPC

FAQ

Alchemy provides RPC node infrastructure and developer APIs for interacting with blockchains. Bitquery provides indexed, decoded blockchain data — DEX trades, prices, holders, transfers and MEV — across 40+ chains through one schema. Alchemy is how your app talks to the chain; Bitquery is how your app understands it.

For data and analytics, yes. For RPC access and transaction broadcasting, no — Bitquery does not provide node endpoints. Teams building analytics, trading or research products often use Bitquery instead of building their own indexing on top of Alchemy RPC.

Not in decoded form. Getting DEX trades from RPC means fetching logs, decoding them per protocol, resolving token metadata and computing prices yourself. Bitquery ships that already decoded across 300+ DEXs on 40+ chains, including buys, sells, counterparties and USD prices.

Often, yes. A typical stack uses Alchemy for RPC reads and transaction submission, and Bitquery for the decoded market data, historical analytics and real-time streams that power the product's data surfaces.

Bitquery for decoded event streams. It streams over WebSocket at roughly one second, Kafka at under 500ms p95 with offset replay, and Solana gRPC at under 300ms. Alchemy's subscriptions and webhooks deliver raw chain events you decode yourself.

Yes. Bitquery covers Bitcoin, Solana, Tron, XRP, Cardano, Litecoin, Stellar, Filecoin and Algorand alongside EVM chains, through the same decoded schema.

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 Cloud Datashares deliver into Snowflake, BigQuery, Databricks and Azure, or as Hive-partitioned Parquet to your own S3 bucket with no rate limits.

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 responsiveness and the pace at which new chains and interfaces ship.

“Helpful team, always quick to respond.”

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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