Compare Indexing Co

How Indexing Co compares to subgraphs, managed indexing services, analytics platforms, RPC providers, and building your own blockchain data infrastructure.

Why Teams Choose Indexing Co

Architectural superiority translated into execution speed. How we systematically eliminate friction compared to legacy alternatives.

sub-500ms Block to your database, dedicated infra Sub-500ms block-to-storage on dedicated infrastructure. No polling intervals, no sync delays, no API layer between the chain and your data. Shared infrastructure averages 2.54s. dedicated pipeline infrastructure

Zero Extra API layers Data lands in your own database, your own schema. Query with SQL, your ORM, or any standard tooling — no GraphQL required. direct database delivery

100+ Live chains, one pipeline 100+ live chains from a single integration. No separate subgraph per chain, no chain-specific SDKs. Any additional chain available on request. custom chain integrations on request

Pipeline and Indexing Services

The Graph VS

Decentralized Network AssemblyScript

Legacy Model Requires proprietary languages, complex DevOps for self-hosting, and tolerates significant network sync delays.

Direct Execution TypeScript pipelines written directly to your database. Zero middleware, instant sync, native developer experience.

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Goldsky VS

Managed Subgraphs Mirror Pipelines

Legacy Model A hosted wrapper around outdated architecture. Still relies on polling mechanisms and brittle pipeline configurations.

Direct Execution Data flows directly into your own PostgreSQL. No shared API layer, no extra sync hop, no polling. Your database is the read endpoint.

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Envio VS

HyperIndex EVM-only

Legacy Model Developer framework, self-hosted by default, EVM-only. Fast to prototype — but you own the infrastructure and ops burden.

Direct Execution Fully managed. 100+ chains. Indexing Co handles the infra layer so your team ships product, not infrastructure.

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SubQuery VS

300+ Chains Self-deployed SDK

Legacy Model SDK you deploy yourself, token-gated at the network level, outputs to GraphQL. Broad chain support, narrow delivery options.

Direct Execution Fully managed pipeline. Data delivered in your schema to your database — no GraphQL layer, no deployment overhead.

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SQD (Subsquid) VS

Decentralized Data Lake ZK Proofs

Legacy Model Decentralized data lake with an AI/commerce focus following its 2025 acquisition. Product direction has shifted from production pipelines.

Direct Execution Real-time pipeline purpose-built for production apps. Consistent roadmap, direct database delivery, no strategy pivots.

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General Web3 APIs

Covalent VS

Unified API Pre-built Schemas

Legacy Model Unified REST API with pre-built data schemas. You query their structure — no control over the schema your application receives.

Direct Execution You define the transformation logic. Data lands in your database in your schema — no shared API layer to query through.

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Moralis VS

80+ API Endpoints NFT / Token / Wallet

Legacy Model Pre-built endpoints for common use cases. Fast to start — but you're constrained to their data model and rate limits forever.

Direct Execution Raw event streams transformed to your data model, delivered to your infrastructure. No rate limits on your own data.

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Bitquery VS

GraphQL APIs WebSocket Streams

Legacy Model GraphQL APIs with WebSocket subscriptions across 40+ chains. Every query goes through their layer — latency and rate limits included.

Direct Execution Data in your own database, your own schema. 100+ chains, no GraphQL ceiling, no third-party query layer between you and your data.

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Neynar VS

Farcaster Social Protocol

Legacy Model Purpose-built for Farcaster. The moment your product needs on-chain data from EVM, Solana, or any other network, you need a second provider.

Direct Execution Social protocol and on-chain data from a single pipeline. Farcaster plus 100+ chains — one integration, one schema, one bill.

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RPC and Node Providers

Alchemy VS

RPC Provider Custom APIs

Legacy Model Built for broadcasting transactions, not querying historical state at scale. Creates massive latency for complex data aggregations.

Direct Execution Dedicated pipeline to your own database. Complex historical state available in milliseconds via your own SQL, no API rate limits in the read path. Many teams use both.

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QuickNode VS

Node Infrastructure Raw Streams

Legacy Model Focused on generic node access. Streaming solutions deliver raw data, lacking native transformation and decoding layers.

Direct Execution Built-in ABI decoding and custom transformation logic execute before data hits your database. Clean, structured data ready to query.

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Helius VS

Solana-only gRPC Streaming

Legacy Model The deepest Solana infrastructure available — SOC 2, gRPC, 99.99% uptime. Best-in-class for Solana-only products.

Direct Execution Multi-chain products that include Solana get all chains from one pipeline. One integration, one schema, full coverage.

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Analytics Platforms

Dune VS

SQL Dashboards Community Data

Legacy Model Great for analytics and dashboards. Not a data delivery platform — no webhooks, no streaming, no way to pipe data into your production database.

Direct Execution Real-time blockchain data delivered directly to your infrastructure. Use Dune for exploration, Indexing Co for production data pipelines.

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Allium VS

Enterprise Warehouse SOC 2

Legacy Model Enterprise data warehouse delivery for analytics teams at Visa, Stripe, and Coinbase. Built for Snowflake and BigQuery, not application infrastructure.

Direct Execution Production data pipeline layer — real-time delivery to your application infrastructure, not just your analytics warehouse.

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Building Your Own

Building In-House VS

Custom Indexers Maximum Control

Legacy Model Maximum control. Also means designing your own queue, backfill logic, chain abstraction, and transform pipeline before shipping anything.

Direct Execution Skip the infrastructure layer entirely. Define your transforms in TypeScript, point at your database, and ship the product.

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Quick Comparison

Feature	Indexing Co	Goldsky	The Graph	Envio	Allium	Covalent	Alchemy	Dune	Build In-House
Block-to-database delivery	sub-500ms (dedicated)	Seconds via Mirror	GraphQL API only	GraphQL API (HyperSync)	Warehouse batch	API only	API + webhooks	No	You build it
Data destination	Your DB/webhook	Your PostgreSQL via Mirror	Hosted GraphQL	GraphQL/DB	Snowflake/BigQuery	REST API	REST API	Dashboard	Your infra
Transform logic	TypeScript (custom)	AssemblyScript/SQL	AssemblyScript	TypeScript	None	None	None	SQL	Full control
Chains supported	100+ live (any chain on request)	150+	60+	70+ EVM	100+	100+	50+	100+	Whatever you build
Custom schemas	Yes	Limited	No	Yes	No	No	No	No	Yes
Historical backfill	Yes	Yes	Yes	Yes	Yes	Yes	Partial	Yes	Yes
Managed service	Yes	Yes	Managed/hosted	Optional	Yes	Yes	Yes	No	No

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