SupraOracles are pleased to partner with BlockVision, an all-in-one cloud service solution for third-generation blockchains, adding high-performance indexing capabilities to support blockchain workloads with high transaction outputs. BlockVision's goal is to make blockchains easier to read and support Web 3.0 infrastructure, which requires faster computation and real-time visualization of large data clusters.
The goal of BlockVision is to enable developers to access cross-chain data through an enhanced API for faster querying of data across multiple blockchains such as Ethereum and Polkadot. SupraOracles will provide a trusted and decentralized oracle solution, enriching data visualization and making it more reliable for end users. User developers and internal assets can leverage SupraOracles to generate more responsive queries.
Joshua D. Tobkin, CEO and co-founder of SupraOracles, said:
Joshua D. Tobkin, CEO and co-founder of SupraOracles, said:
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About SupraOracles
SupraOracles is dedicated to bridging the gap between traditional capital markets and the Web3 ecosystem. Our vision and driving mission is to provide the developer community with a novel oracle toolset so they can easily create, deploy, and manage data applications with superior performance, robustness, and agility.
Our projects are owned by consensus mechanism architecture, randomness research, real-time data service, investment bank, digital securities, traditional stock exchange, big data, doctoral academic, four major consulting, blockchain/DLT and decentralized finance, etc. Backed by experienced professionals.
Together with our developer community and growing partners, SupraOracles aim to solve the oracle dilemma and ultimately power the future of finance.
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About BlockVision
BlockVision aims to become an integrated cloud service platform for Web 3.0, supporting data cloud storage, ETL operations, data synchronization, offline analysis, real-time computing and data visualization on the blockchain.
With BlockVision's powerful HTAP engine and data cloud, users can query large amounts of real-time data across multiple chains, and run complex data storage and data analysis jobs. Therefore, developers can easily and efficiently perform secondary programming without worrying about the expensive cost of deploying infrastructure, and even build their own data warehouses and implement customized APIs.
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