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Goldsky vs Envio

Managed platform or open-source indexing framework: compare the trade-offs to find the best fit for your team.

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Goldsky vs Envio: the verdict

Envio is an open-source blockchain indexing framework built around HyperIndex (the indexing framework) and HyperSync (an RPC alternative). It supports 81+ EVM chains plus Fuel,[1] with stable Solana support since HyperIndex v3.11.[2]

Goldsky is a fully managed blockchain data platform combining Graph-compatible subgraphs with streaming pipelines (Turbo) that push data directly into your databases and message queues. It supports 150+ chains[3] including Solana, NEAR, and Arweave.

The core comparison is between Envio HyperIndex and Goldsky Subgraphs for indexing. Both platforms also offer RPC services (HyperRPC vs Edge RPC). Goldsky’s streaming product (Turbo) and Compose have no Envio equivalent.

Envio

Why Envio may be ideal for you:

  • Fast historical backfills on EVM chains via HyperSync
  • Open-source and self-hostable
  • First-class multichain indexing in a single indexer

Why Envio may not be ideal:

  • More complex setup: requires Docker, config files, and handler code
  • No managed streaming to warehouses or message queues
  • Not subgraph-compatible, requires converting syntax

Choose Envio if fast historical backfills on EVM chains are your top priority, you want open-source infrastructure, and your team is comfortable with framework-style development.

Goldsky

Why Goldsky may be ideal for you:

  • Deploy existing Graph subgraphs unchanged. 100% spec-compatible
  • Managed streaming to 11 sink types without building custom pipelines
  • Easy setup: no Docker, config files, or handler code required for subgraphs

Why Goldsky may not be ideal:

  • Historical backfill speed hasn’t been benchmarked against HyperSync
  • No native multichain indexing in a single deployment
  • Closed source: can’t self-host or inspect the engine

Choose Goldsky if you want managed infrastructure with integrated streaming to your databases, and subgraph compatibility without rewriting your indexing logic.

Quick comparison

Quick comparison of Envio and Goldsky across key dimensions
FeatureEnvioGoldsky
Indexing
Product modelOSS framework (HyperIndex) + hosted Cloud serviceFully managed SaaS (subgraphs + pipelines)
Subgraph compatibilityRequires syntax conversion100% Graph Protocol spec-compatible
Data engineHyperSync. Up to 2,000x faster than RPC[4]Proprietary. Turbo uses Rust with SIMD vectorization[5]
Multichain indexingFirst-class: single indexer across multiple chainsSeparate subgraphs per chain. Turbo can aggregate
Data delivery
Streaming to your DBSelf-managed via HyperIndex + your own DB. Experimental ClickHouse in v3[7]Yes. Turbo, 11 managed sink types[6]
RPC serviceHyperRPC. Up to 5x faster than traditional nodes[8]Edge RPC: multi-region, low latency
Supported chains81+ EVM chains + Fuel.[1] Solana stable since v3.11[2]150+ (EVM + Solana, Bitcoin, NEAR, Arweave, and more)[3]
Developer experience
Setup complexityDocker for local dev. config.yaml + handlers + schemaDeploy via CLI or web UI
LanguagesTypeScript, JavaScript, ReScript[9]Subgraphs: AssemblyScript. Turbo: TypeScript (WASM)
Self-hosted / OSSYes[10]No
Cost
PricingFree dev tier. Paid tiers for production hosting, HyperSync, and HyperRPC[11]$100 Starter credit, then usage-based[13]
Best forTeams that want a self-hosted frameworkTeams wanting zero-ops + DB streaming from one platform

Indexing architecture

Envio’s HyperSync is the standout technical differentiator. It replaces traditional RPC-based data retrieval with a high-performance binary streaming protocol, claiming up to 2,000x faster historical data retrieval.[4] In the Open Indexer Benchmark’s September 2026 run, HyperIndex was the fastest indexer in four of the five scenarios, jointly in one of them, and second in the fifth.[14]

Goldsky’s Turbo Pipelines take a different approach: a Rust engine with SIMD vectorization that decodes and filters 10,000 logs in milliseconds.[5] That figure measures decoding and filtering throughput, not ingestion to delivery. Rather than optimizing the read path from chain, we built Turbo around transformation and sink delivery.

Both achieve sub-second real-time latency. Envio excels at raw historical backfill speed, while Goldsky focuses on managed pipelines that deliver data into downstream systems.

Developer experience

Envio follows a framework model:

  1. Initialize a project.
  2. Define a config.yaml with network endpoints and event signatures.
  3. Write TypeScript handler functions.
  4. Define a GraphQL schema.
  5. Run locally with Docker.

The Cloud service adds push-to-deploy, but you still write and maintain the handler code, configs, and schemas.

Goldsky offers multiple on-ramps:

  • Deploy existing Graph-compatible subgraphs through the CLI with no changes.
  • Create Instant Subgraphs from a contract ABI.
  • Define streaming pipelines through the CLI, YAML, or the visual Flow builder.

None of these need Docker or a local environment. Deploy from the web UI or CLI in minutes.

Streaming and data destinations

Goldsky Turbo streams to 11 managed sink types, including PostgreSQL, ClickHouse, MySQL, Kafka, and S3,[6] plus TypeScript transforms and dynamic lookup tables.

Envio outputs to PostgreSQL, which you can query via GraphQL. HyperIndex v3 adds an experimental ClickHouse sink.[7] If you need data in a message queue, object storage, or a non-Postgres database, Goldsky already supports this. With Envio, you build custom pipelines from the Postgres output.

RPC services

Both platforms offer read-optimized RPC services. Envio’s HyperRPC translates JSON-RPC calls into HyperSync queries, claiming up to 5x faster performance than traditional nodes.[8] Goldsky’s Edge RPC provides multi-region, low-latency read access. Goldsky Boost automatically optimizes your existing RPC endpoints without changing providers, which lowers your billable RPC calls.[15]

Beyond indexing

Goldsky extends beyond indexing and RPC into streaming pipelines (Turbo) and onchain automation (Compose). Envio focuses on indexing performance and data access. The two platforms cover different product scopes. Goldsky offers managed streaming to databases and message queues alongside indexing. Envio does not. Goldsky Feeds also returns a wallet’s balances or transfer history across EVM chains over a REST API, with no indexer to build.[16]

Chain support

Goldsky covers 150+ chains[3] including full non-EVM support: Solana (full genesis history via Turbo), NEAR, and Arweave. Envio supports 81+ EVM-compatible networks plus Fuel.[1] Solana support became stable in HyperIndex v3.11.[2]

Pricing

Pricing comparison between Envio and Goldsky
FeatureEnvioGoldsky
IndexingHyperIndex framework is free and open source.[10] Envio Cloud hosting: free Development tier, paid Production tier ($70–$800/mo), or a custom Dedicated tier[11]Subgraphs cost $0.05 per running hour, about $36.50 a month, plus separate entity storage. Turbo pipelines cost $0.10 per worker-hour, plus $1.00 per 100,000 events written (first million free on Scale)[13][5]
Fast data accessHyperSync has a free tier plus paid plans. Envio has required an API token since 3 November 2025[11][12]Feeds cost $0.35 per 1,000 requests, the same price for every endpoint[13]
RPCHyperRPC has a free tier plus paid plans. Envio has required an API token since 3 November 2025[8][12]Edge RPC costs $5.00 per million requests, with volume discounts above 500M requests a month[13]
Free tierEnvio Cloud’s Development tier is free. HyperSync and HyperRPC each include a free tier[11]Starter plan is free, with a one-time $100 usage credit[13]
Billing modelTiered plans per product, up to a custom Dedicated contract for Cloud hosting[11]Usage-based on the Scale plan, billed per worker-hour and per event written for Turbo, or an enterprise contract[13]

When to choose Goldsky, and when to choose Envio

Looking for an Envio alternative? Both platforms solve blockchain indexing but optimize for different things. Envio prioritizes raw speed and open-source control. Goldsky prioritizes managed operations and integrated streaming.

Choose Envio if:

  • Fast historical backfills on EVM chains are your top priority
  • You want open-source infrastructure
  • Your team is comfortable with framework development (TypeScript handlers, Docker, config files)
  • Multichain indexing in a single indexer is important
  • You’re building on Fuel

Choose Goldsky if:

  • Zero-ops deployment: no Docker, no handler code for subgraphs
  • You need managed streaming to databases, message queues, and object storage (11 sink types)
  • You’re migrating existing Graph subgraphs (100% spec-compatible, no rewrite)
  • Solana, NEAR, or Arweave support is needed (not just EVM)
  • You want subgraphs, streaming, and RPC from one platform
  • You prefer predictable managed pricing over self-hosted infrastructure costs

Frequently asked questions

Not directly. Envio and Goldsky use different schema and handler formats. However, Goldsky’s Instant Subgraphs can index the same contracts without writing mappings, and Turbo Pipelines can stream the same events with TypeScript transforms. Moving between the two means rewriting your indexing logic, not your entire application.
It depends on what you measure. Envio says HyperSync retrieves historical EVM data up to 2,000x faster than RPC. Goldsky’s figure covers decoding and filtering in Turbo. There is no independent head-to-head backfill benchmark.
No. Envio uses its own schema and handler model. If you have existing Graph-compatible subgraphs, Goldsky is a more direct migration path.
HyperIndex itself is free and open source. Envio Cloud offers a free Development hosting tier, with paid Production ($70–$800/mo) and custom Dedicated tiers for production workloads. HyperSync and HyperRPC each have their own free tier plus paid plans. HyperSync starts at $70/mo, and HyperRPC is metered at $4 per million requests. See the pricing sources below for current rates.
Not directly. Goldsky sources data from its own chain datasets and RPC endpoints. However, both platforms can index the same on-chain events independently.

Sources

All sources were checked on October 26, 2026.

Show 16 sources

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