Chainbase Integrates Walrus for Enhanced Decentralized Data Storage
Chainbase, a leading omnichain data network for AI, has announced its integration with walrus, a decentralized storage protocol developed by Mysten Labs. This partnership aims to enhance decentralized data storage and availability for a wide range of applications, including DeFi, AI, and Web3.
By integrating Walrus into its blockchain data streaming framework, Manuscript, chainbase will create fully decentralized, permissionless, and trustless data pipelines. This integration will enable seamless multi-chain data access, enhancing programmability, security, and efficiency. Manuscript connects various data, services, and users across the Chainbase ecosystem, seamlessly integrating onchain and offchain data into target data storage.
The partnership will also enhance blockchain data accessibility and efficiency by reducing storage costs through Walrus’ advanced encoding. Walrus’s data availability proofs, powered by Sui’s smart contract integration, will allow Manuscript to verify data integrity, enhancing overall transparency and security.
Rebecca Simmonds, Managing Executive at Walrus Foundation, a core contributor to Walrus, stated, “Our partnership with Chainbase is a testament to the foundation we are building for a truly decentralized data ecosystem. Walrus unlocks new possibilities for Chainbase users by delivering highly-performant, programmable storage solutions across hundreds of blockchains.”
Mogu, Founder at Chainbase, commented on the announcement, “We are excited to bring critical efficiency and security to Manuscript through Walrus’s powerful capabilities - and we anticipate developers will be equally empowered to build with enhanced data integrity and access.”
This integration is a significant step towards creating a more decentralized and secure data ecosystem. By leveraging Walrus’s advanced storage solutions, Chainbase aims to provide developers with reliable and tamper-proof blockchain data, enabling them to build innovative applications with enhanced data integrity and access.
