ChainPick

Goldsky vs Bitquery

A detailed head-to-head comparison of Goldsky and Bitquery — pricing, features, and which one wins for different use cases.

G

Goldsky

Real-time blockchain data pipelines with subgraph hosting and Mirror streaming to any database

4.4(680)

Goldsky is a blockchain data infrastructure company that offers two core products: managed subgraph hosting and Mirror, a real-time blockchain data streaming service. Subgraph hosting on Goldsky is th

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B

Bitquery

GraphQL blockchain data APIs with deep DEX, transfer, and analytics coverage

4.2(108)

Bitquery is a blockchain data provider offering powerful GraphQL APIs across 40+ blockchains, with particularly strong coverage of DEX trades, token transfers, smart-contract events, and on-chain anal

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Feature Comparison

FeatureGoldskyBitquery
Query LanguageGraphQL (subgraphs) + SQL (Mirror)GraphQL
Decentralized
Multi Chain
Real Time Pipeline
Database Sinks
Open Source
Graph Compatible
Streaming Data
Webhook Delivery
Self Hostable
Custom Subgraphs
Real Time Indexing
Historical Data
Governance Token

Goldsky Pricing

Goldsky

Free

Free

  • 2 subgraphs
  • 5M Mirror records/mo
  • All chains
  • Community support
Get Started
Popular

Goldsky

Build

$250/mo

  • Unlimited subgraphs
  • 50M records/mo
  • Priority support
  • Custom sinks
Get Started

Goldsky

Scale

Custom

  • Custom limits
  • Dedicated infra
  • SLA
  • Account manager
Contact Sales

Bitquery Pricing

Bitquery

Free (dev tier)

Free

  • GraphQL APIs, 40+ chains
  • DEX + transfer data
  • Basic query limits
  • Analytics endpoints
Get Started
Popular

Bitquery

Growth

$49/mo

$490/yr billed annually

  • Higher query limits
  • Streaming APIs
  • More datasets
Get Started

Bitquery

Enterprise

Custom

  • Custom SLA
  • High volume
  • Dedicated support
Contact Sales

Verdict: Which Should You Choose?

Goldsky is the better pick if you need drop-in replacement for the graph hosted service — same code, better reliability. Bitquery wins when powerful graphql across 40+ chains. Both are production-ready — the right choice depends on your team's workflow and budget.