Alternatives

Bitquery vs Covalent: Depth and Real-Time vs Breadth and Simplicity

Compare Bitquery and Covalent (GoldRush) across query model, DEX and trading depth, streaming latency, chain coverage and pricing.

Bitquery vs Covalent: Depth and Real-Time vs Breadth and Simplicity

Bitquery streams decoded on-chain data under 300ms over Solana gRPC and under 500ms p95 over Kafka.

How Bitquery and Covalent Differ

Covalent normalizes many chains behind one simple REST interface — its strength is breadth and a very low integration cost for wallet-style lookups. Bitquery trades some of that breadth for depth and speed: fully decoded DEX and trading data, arbitrary GraphQL queries, and sub-second streaming transports that a request-response REST API does not provide.

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 — server-side filtering, aggregation and field selection 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
  • •Bulk warehouse delivery — Parquet to S3, Snowflake, BigQuery, Databricks, no rate limits

Covalent (GoldRush)

Covalent provides a unified REST API that normalizes wallet balances, transactions and NFT holdings across a very large number of chains.

Covalent could be a good fit if:

  • •You need the widest possible chain count behind one normalized interface
  • •Your use case is wallet balances, portfolio views and transaction history
  • •You want one REST call per chain with minimal schema learning
  • •Your team prefers REST over GraphQL
  • •You are building a multi-chain wallet or explorer rather than a trading product

Covalent's chain breadth and single-endpoint simplicity are real advantages for portfolio and wallet use cases.

Detailed Feature Comparison: Bitquery vs Covalent

CapabilityBitqueryCovalent (GoldRush)
Query modelGraphQL — arbitrary filters and aggregationsREST — unified normalized endpoints
Chain coverage40+ chains, one decoded schemaVery broad EVM chain coverage
DEX trade coverage300+ DEXs, decoded buys/sells, counterpartiesLimited DEX depth
Launchpad & venue feedsPump.fun, PumpSwap, Raydium, Four.meme, perpsNot offered
OHLCV candles1s to 1d, computed from on-chain tradesNot a focus
Real-time streamingWebSocket ~1s, Kafka <500ms p95, Solana gRPC <300msRequest-response API
Mempool / pending transactionsYes — Ethereum, BNB Chain, SolanaNot offered
MEV & sandwich detectionYesNot offered
Contract calls & internal tracesYes — full execution treeLimited
Token holder snapshots & distributionYes, historicalHolder endpoints available
Realized PnL / top tradersYesNot offered
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 Covalent

When should you choose Covalent over Bitquery?

Choose Covalent if:

  • •Chain breadth is your top requirement and you need long-tail EVM networks
  • •Your product is a wallet, portfolio tracker or block explorer
  • •You want one normalized REST shape across every chain with minimal integration work
  • •Your team prefers REST and does not want to learn a GraphQL schema
  • •You do not need real-time streaming, mempool data or deep DEX coverage

When should you choose Bitquery over Covalent?

Choose Bitquery if you need:

  • •Real-time streaming over Kafka, Solana gRPC or WebSocket — not polling a REST endpoint
  • •Deep DEX and trading data across 300+ DEXs, including launchpads and perp venues
  • •Custom queries that no fixed endpoint exposes, with server-side aggregation
  • •Mempool and pre-confirmation visibility
  • •Internal calls and full transaction traces, not just top-level transactions
  • •Holder distribution, realized PnL and top-trader rankings
  • •Bulk historical delivery into your warehouse as Parquet with no rate limits

FAQ

Bitquery is a GraphQL and streaming platform built for depth and low latency; Covalent is a unified REST API built for breadth and simplicity. Bitquery covers 40+ chains with decoded DEX trades, mempool data and sub-second streaming. Covalent normalizes wallet, balance and NFT data across a wider set of chains.

Yes, especially for trading, DEX and analytics products. Bitquery adds decoded trade data across 300+ DEXs, OHLCV candles, holder distribution, realized PnL, mempool streams and Kafka/gRPC transports that a request-response REST API does not provide.

Covalent supports a wider set of chains overall. Bitquery supports 40+ chains through one decoded schema, with self-serve covering 9 core chains and Enterprise unlocking the rest including Bitcoin, XRP and Cardano. If long-tail EVM coverage is the requirement, Covalent is broader; if depth on the major trading chains matters more, Bitquery is the closer fit.

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

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.

Both work. Covalent is quicker if you want one normalized REST call across many chains. Bitquery is better if you also need live USD valuation from on-chain DEX liquidity, historical point-in-time balances, or real-time balance updates pushed over a socket.

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 and no API 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 how quickly they can compose their own cross-chain queries against DEX and token data.

“My go to on chain data analytics tool.”

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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