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What is Data Infrastructure?

NEAR offers ready-to-use solutions to access and monitor on-chain data easily. This is very useful to automate actions based on specific events, cache data to reduce latency, gather usage data of the blockchain, and even study user preferences.

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NEAR offers three main solutions to access and monitor on-chain data: BigQuery Public Dataset, QueryAPI, and NEAR Lake. Each of these solutions is designed to fit different needs and use cases, and can be used in combination to create a complete data infrastructure for your application.


BigQuery: Public Dataset

A large dataset with on-chain data publicly available on Google Cloud Platform. Obtain near real-time blockchain data using simple SQL queries. All the data, zero setup.

  • Instant insights: Historic on-chain data queried at scale. No need to run your own infrastructure.
  • Cost-effective: Eliminate the need to store and process bulk NEAR Protocol data. Query as little or as much data as you like.
  • As easy as SQL: No prior experience with blockchain technology is required. Just bring a general knowledge of SQL to unlock insights.

QueryAPI: Indexers Made Simple

A fully managed solution to build indexer functions, extract on-chain data, and easily query it using GraphQL endpoints and subscriptions.

  • Your data, your way: Decide how you want to store data. Design the tables and databases that better suit your needs.
  • Indexers made simple: Create the logic of your indexer and we will execute it for you. Forget about infrastructure—focus on solutions.
  • Plug & play to your app: Fetch your data from any application through our API. Leverage GraphQL to query exactly what you need.

NEAR Lake

A solution that watches over the NEAR network and stores all the events for your easy access.

  • Cost-efficient solution: Cost-efficient solution for building self-hosted indexers in Rust, JavaScript, Python, Go and other languages
  • Streamlined data management: Use NEAR Lake Framework to stream blocks to your server directly from NEAR Lake
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