Anyone building products and services with blockchain data needs access to reliable read/write nodes. Nodes are the access points into the entire ecosystem. But developing and managing decentralized and resilient node infrastructure in-house is not a simple task, especially when trying to support a diverse range of blockchain protocols. Relying on a provider that rate-limits data usage, or only supports a few networks, is not an option for many businesses that anticipate rapid growth.
QT by Bison Trails, is designed for companies and entrepreneurs facing these challenges as they build secure Web 3.0 applications today. Bison Trails makes it incredibly easy to have secure, highly available access to read/write node infrastructure on multiple blockchain protocols.
Read more about how QT node infrastructure makes it easy for anyone building a wide range of Web 3.0 applications to validate transactions, obtain information about them (query), and write data such as transfers or smart contract interactions (transactions).
"Whether you’re an established company looking to free up engineering resources, or you’re a team just getting started in the blockchain space and you want to build something with secure and reliable access to these chains, QT clusters make it fast and easy to build on any of these blockchains. We’re thankful to our early QT customers who helped make this a better product than anything that exists in the ecosystem."
Wednesday, Oct 28 2020 at 11am ET. Watch the recap of our our QT product launch event featuring:
QT Archival are fully-managed archival nodes and supporting systems—dedicated node infrastructure that provide a complete block-by-block record of historic data.
QT Archival nodes take real-time data one step further by providing a complete picture of the state of a blockchain on a block-by-block basis. Unlike a full node, which only records changes in the ledger, archival nodes provide a complete historic trace record of everything happening (or not happening) on a blockchain. This complete picture is invaluable for companies doing data analysis over a time horizon, or who have detailed reporting requirements.
Learn more about QT Archival.