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Flare integrates Subsquid over open-source data access expansion

Brian Stone
Edited by
News
Flare integrates Subsquid over open-source data access expansion

Dubai-based blockchain platform Flare announced the integration of the blockchain indexing solution network Subsquid.

The Flare and Subsquid integration aims to provide better access and usability of blockchain data for Web3 developers. The Flare and Subsquid integration aims to achieve the following benefits:

  • Enable developers to easily access historical and real-time data from the Flare network without needing an archive node or a centralized service provider.
  • Allow developers to customize their data pipelines and APIs using Subsquid’s ETL query stack, which can also make external API calls to Flare’s APIs.
  • Enhance the security, reliability, and scalability of data access and storage using Subsquid’s distributed data lake and Flare’s decentralized network.
  • Foster innovation and collaboration in the blockchain ecosystem by supporting various decentralized applications (DApps) and use cases that leverage Flare’s smart contracts and interoperability features.

The Flare and Subsquid integration is expected to improve the user experience, market efficiency, and network performance of both platforms and the broader crypto community.

Flare is a blockchain platform that supports smart contracts and interoperability with other networks, such as Ethereum and XRP Ledger. Flare plans to create a data-centric network that enables decentralized data acquisition and processing and makes various DApps and use cases. Flare uses its native token, Spark (FLR), which is used for network governance, security, and utility.

Subsquid is a blockchain indexing solution that offers an open-source software development kit, a decentralized data lake and a hosted service for data retrieval. Subsquid aims to empower Web3 developers to build DApps by providing easy and fast access to historical and real-time data from blockchains. The blockchain solution also allows developers to customize their data pipelines and APIs using its ETL query stack, which can make external API calls to other platforms.