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Bitquery vs Moralis: Query Flexibility vs Fixed Endpoints

Compare Bitquery and Moralis across query model, DEX and trading data depth, real-time streaming, chain coverage and pricing.

Bitquery vs Moralis: Query Flexibility vs Fixed Endpoints

Bitquery exposes 40+ chains through one GraphQL schema, so the same query body works as a request or a live subscription.

How Bitquery and Moralis Differ

Moralis gives you a catalogue of purpose-built REST endpoints. Bitquery gives you one schema you query however you want. If the endpoint you need already exists in Moralis, Moralis is faster to integrate. If your question does not map to a pre-built endpoint — a filtered aggregation, a multi-condition trade query, a custom join across trades and holders — Bitquery answers it without waiting for a new endpoint to ship.

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:

  • •Arbitrary query shape — filter, sort, aggregate and select exactly the fields you need in one round trip
  • •DEX and trading depth — trades, liquidity, pools, new pairs and OHLCV across 300+ DEXs
  • •Sub-second streaming — under 300ms over Solana gRPC, under 500ms p95 over Kafka
  • •Mempool and MEV data — pending transactions plus detected sandwiches, arbitrage and liquidations
  • •Warehouse and bulk delivery — Parquet to S3, Snowflake, BigQuery, Databricks

Moralis

Moralis is a Web3 development platform offering REST APIs and SDKs for wallet, token, NFT and price data.

Moralis could be a good fit if:

  • •You want REST endpoints and typed SDKs with minimal learning curve
  • •Your needs are standard wallet, balance and NFT lookups that map cleanly to existing endpoints
  • •Your team prefers REST over GraphQL as a matter of stack convention
  • •You want a broader Web3 developer toolkit, not only a data layer
  • •Time to first successful call matters more than query flexibility

Moralis's REST-first developer experience and SDK coverage are genuine strengths — for standard lookups, it is quicker to integrate.

Detailed Feature Comparison: Bitquery vs Moralis

CapabilityBitqueryMoralis
Query modelGraphQL — arbitrary filters, aggregations, field selectionREST — fixed, purpose-built endpoints
Same query as live subscriptionYes — swap `query` for `subscription`Separate streams product
DEX trade coverage300+ DEXs, decoded buys/sells, counterpartiesToken and swap endpoints
Launchpad & venue feedsPump.fun, PumpSwap, Raydium, Four.meme, perp DEXsNot a focus
OHLCV candles1s to 1d intervals, from on-chain tradesPrice endpoints available
Streaming transportsWebSocket ~1s, Kafka <500ms p95, Solana gRPC <300msStreams / webhooks
Mempool / pending transactionsYes — Ethereum, BNB Chain, SolanaNot offered
MEV & sandwich detectionYesNot offered
Token holder distribution & snapshotsYes, historicalHolder endpoints available
Realized PnL / top tradersYesNot a focus
Warehouse & bulk exportParquet to S3, Snowflake, BigQuery, DatabricksNot a focus
AI / MCP accessMCP server, credits from $9—
Chain coverage40+ chains, one schemaBroad EVM coverage plus Solana
Uptime99.9%Not published
Self-serve pricing$49 / $99 / $299 per monthSelf-serve tiers available

Choosing the Right Tool: Bitquery or Moralis

When should you choose Moralis over Bitquery?

Choose Moralis if:

  • •Your requirements are standard wallet, balance, token and NFT lookups
  • •Your team wants REST and official SDKs rather than writing GraphQL
  • •You are building a general Web3 app and want auth, wallet and utility tooling in one place
  • •Fastest possible first integration matters more than long-term query flexibility
  • •You do not need mempool, MEV, or venue-level DEX data

When should you choose Bitquery over Moralis?

Choose Bitquery if you need:

  • •Queries that no fixed endpoint covers — arbitrary filters, aggregations and field selection
  • •Serious DEX and trading data across 300+ DEXs, including launchpads and perps
  • •Sub-second streaming over Kafka, Solana gRPC or WebSocket for live products
  • •Mempool and pre-confirmation visibility
  • •Holder distribution, realized PnL and top-trader rankings as first-class datasets
  • •Bulk historical delivery into your warehouse as Parquet, with no rate limits
  • •One schema across 40+ chains, so a new chain does not mean a new integration

FAQ

Bitquery exposes blockchain data through a single GraphQL schema you query freely; Moralis exposes it through purpose-built REST endpoints. Bitquery suits custom analytics, DEX depth and real-time streaming. Moralis suits standard wallet, token and NFT lookups with fast integration.

Yes, particularly for trading, DEX and analytics use cases. Bitquery covers 300+ DEXs across 40+ chains with decoded trades, OHLCV, liquidity and holder data, plus sub-second streaming over Kafka and gRPC that fixed REST endpoints do not provide.

GraphQL has a slightly steeper start but removes the endpoint ceiling. With Bitquery you write one query returning exactly the fields you need, avoid over-fetching, and convert the same query into a live WebSocket subscription without remodelling. Bitquery's GraphQL IDE at ide.bitquery.io lets you build and test queries in the browser before writing any code.

Bitquery. It indexes trades, liquidity, pools and new pair creation across 300+ DEXs on 40+ chains, with dedicated feeds for Pump.fun, PumpSwap, Raydium, Four.meme and perp venues including Hyperliquid, plus OHLCV candles from 1 second to 1 day.

Yes. Bitquery streams decoded data over WebSocket at roughly one second, Kafka at under 500ms p95 with offset replay, and Solana gRPC at under 300ms for MEV and high-frequency workloads.

Yes. Bitquery streams pre-confirmation transactions on Ethereum, BNB Chain and Solana, plus detected MEV including sandwiches, arbitrage and liquidations.

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 bulk historical and real-time data into Snowflake, BigQuery, Databricks and Azure, or as Hive-partitioned Parquet to your own S3 bucket with no rate limits.

Yes. Bitquery runs an MCP server at mcp.bitquery.io so Claude, Cursor, ChatGPT and other MCP clients can query live on-chain data in natural language. Credits start free and top up at $9 for 10,000.

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 the GraphQL interface and the breadth of networks reachable through one schema.

“GraphQL interface — easy to use.”

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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