The Graph is strongest for subgraph-based ecosystem indexing and decentralized data access. Goldsky is strongest for real-time data pipelines, hosted indexing and product analytics workflows. Subsquid is strongest for flexible high-performance indexing, custom data lakes and developer-controlled data extraction.
FluidRWA research brief
Blockchain indexing provider comparison snapshot
Indexing provider selection depends on the data job: public subgraphs, product dashboards, real-time event pipelines, historical backfills, analytics exports or custom data infrastructure. The Graph, Goldsky and Subsquid overlap, but their best-fit workflows differ.
| Decision factor | The Graph | Goldsky | Subsquid |
|---|---|---|---|
| Natural buyer | Web3 apps and protocols needing subgraph-based query infrastructure | Product teams needing hosted indexing, real-time streams and data pipelines | Engineering teams needing flexible custom indexing and high-throughput data extraction |
| Strongest workflow | Subgraphs, GraphQL queries and ecosystem-standard indexed data | Real-time pipelines, webhooks, database sync and analytics-ready event data | Custom schemas, archive access and developer-controlled indexing architecture |
| Best fit | Token transfer dashboards, public protocol data and ecosystem integrations | Investor activity feeds, compliance queues, notifications and operating dashboards | Custom reporting, cross-chain datasets and complex internal data models |
| Main check before buying | Whether the subgraph model covers the contracts and data shape | Whether managed pipelines reduce engineering time and latency | Whether the team can maintain the flexibility it wants |
Indexing Turns Blockchain Activity Into Product Data
Blockchains are transparent, but they are not automatically usable as application databases. A tokenization platform may need to show investor balances, transfers, subscriptions, redemptions, coupon payments, allowlist changes and admin events. Reading those directly from RPC calls every time is usually slow, fragile and expensive.
Indexing providers solve that gap. They transform raw blockchain events into structured data that apps, dashboards, compliance teams and analytics workflows can use.
The Graph, Goldsky and Subsquid are frequently discussed in this category, but they have different strengths.
Short Answer
The Graph is strongest for teams that want subgraph-based indexing, ecosystem-standard query patterns and decentralized data access.
Goldsky is strongest for teams that want hosted indexing, real-time data pipelines, streaming events, webhook-style workflows and analytics-ready data movement.
Subsquid is strongest for teams that want flexible, high-performance indexing with developer control over schemas, data extraction and custom infrastructure patterns.
The Graph: Best Fit for Subgraphs and Ecosystem-Standard Indexing
The Graph is one of the most established indexing protocols in Web3. It is closely associated with subgraphs: developer-defined indexing logic that turns smart contract events into queryable APIs.
The Graph may fit when the buyer needs:
- subgraph-based indexing
- GraphQL query workflows
- ecosystem familiarity
- decentralized indexing options
- public protocol data
- standard Web3 developer patterns
- application data for dApps and dashboards
- reusable data schemas
The diligence question is whether the project fits a subgraph model. For many protocol and dApp use cases, it does. For highly customized private reporting, complex pipelines or enterprise data warehouses, buyers may need additional tooling.
For tokenization teams, The Graph may be useful for token transfer events, investor balance views, public product data, proof-of-ownership dashboards and ecosystem integrations.
Goldsky: Best Fit for Real-Time Product Data Pipelines
Goldsky is often evaluated by teams that want fast hosted indexing and real-time data movement from blockchain events into application databases, streams and analytics tools.
Goldsky may fit when the buyer needs:
- hosted blockchain indexing
- real-time event streaming
- webhooks and pipelines
- application database sync
- analytics-ready event data
- historical backfills
- fast product iteration
- multi-chain product data
The diligence question is whether the team wants managed infrastructure that shortens engineering time. If the buyer has a product team building dashboards, notifications, compliance queues or user-facing activity feeds, Goldsky may be attractive.
For tokenization teams, Goldsky may support investor activity feeds, compliance alerts, redemption queues, stablecoin payment events, operational dashboards and internal reporting.
Subsquid: Best Fit for Flexible Custom Indexing
Subsquid is relevant when teams want a more developer-controlled approach to extracting, transforming and serving blockchain data. It is often discussed around high-performance indexing, archives and custom data pipelines.
Subsquid may fit when the buyer needs:
- flexible indexing logic
- high-throughput data extraction
- custom schemas
- archive-style access
- self-hosted or controlled infrastructure options
- multi-chain data handling
- application-specific query layers
- data lake or warehouse workflows
The diligence question is whether the buyer has the engineering capability to benefit from flexibility. Subsquid may be powerful for teams with more complex data requirements, but buyers should evaluate maintenance burden, developer skills and production support.
For tokenization teams, Subsquid may support custom regulatory reporting, asset lifecycle datasets, cross-chain event views, performance analytics and internal data models.
What Tokenization Teams Should Compare
Indexing is not just a developer preference. It can become part of the operating record for a tokenized product. If a dashboard shows the wrong balance or misses a transfer restriction event, the issue can become operational, legal or investor-facing.
Compare providers by:
- supported chains and contracts
- event latency
- historical backfill speed
- reorg handling
- schema flexibility
- query performance
- hosted versus self-managed options
- uptime and retries
- developer workflow
- data export options
- access controls
- cost at expected query volume
- support during launch
The best provider is the one that fits the product's data job. A public DeFi dashboard, a private fund admin portal and a compliance exception queue may require different indexing patterns.
Practical Recommendation
Use The Graph when subgraphs, ecosystem standards and public query infrastructure are the priority.
Use Goldsky when real-time managed pipelines and application data workflows are the priority.
Use Subsquid when custom indexing flexibility, high-throughput extraction and developer-controlled data architecture are the priority.
For production tokenization products, indexer reliability should be tested with actual contracts, not only documentation. Run test transactions, check event latency, simulate reorg scenarios where possible and compare how quickly each provider makes data available to the app.
Continue Your Research
- Compare RPC and node providers
- Compare oracle and data providers
- Compare blockchain development companies
- Submit data requirements
Primary and Authoritative Sources
- The Graph documentation
- Goldsky documentation
- Subsquid documentation
- Ethereum nodes and clients documentation
FAQ
Which is better: The Graph, Goldsky or Subsquid?
The Graph is often strongest for subgraph ecosystems and decentralized indexing, Goldsky for hosted real-time data pipelines and analytics workflows, and Subsquid for flexible custom indexing and high-throughput data extraction.
What is blockchain indexing?
Blockchain indexing transforms raw chain data into queryable datasets so applications can display balances, events, transactions, positions, histories and analytics without repeatedly scanning the chain.
Do tokenization projects need indexing?
Yes, if they need investor dashboards, transfer history, redemption records, admin event views, compliance monitoring or reporting based on onchain events.
What is a subgraph?
A subgraph defines how blockchain data is indexed and queried, commonly through The Graph ecosystem, so applications can retrieve structured data efficiently.
What should buyers test before choosing an indexing provider?
Test supported chains, latency, historical backfill, reorg handling, schema flexibility, cost, query performance, uptime, developer workflow and export options.
Is indexing the same as RPC?
No. RPC gives applications direct access to blockchain nodes. Indexing organizes blockchain data into application-ready tables, APIs or query endpoints.
Can indexing create compliance risk?
It can if the indexed dataset becomes a compliance record. Teams should review retention, access control, accuracy, corrections, audit logs and privacy expectations.
Where can I compare more blockchain data providers?
FluidRWA maintains directories for RPC providers, oracle providers, blockchain analytics vendors and Web3 infrastructure companies.
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