In a groundbreaking move that promises to revolutionize the way data is processed and verified in the cloud, Space and Time, a leading name in data warehousing, has unveiled that its innovative zero-knowledge (ZK) proof technology, dubbed ‘Proof of SQL,’ is now integrated with Google Cloud’s BigQuery. This integration opens up new possibilities for data verification in the digital realm and particularly within the blockchain sector.
James Tromans, Head of Web3 at Google Cloud, expressed the significance of this integration, stating, “Our goal is to help Web3 developers build applications at scale by providing them access to a range of tools and services. Now BigQuery customers will be able to access Space and Time’s ZK-proof protocol which can help verify blockchain smart contracts and other business processes that require verifiable compute against data.”
Empowering Data Integrity and Security
Space and Time’s Proof of SQL is a cryptographic protocol designed to verify query results in SQL databases, ensuring their accuracy and authenticity. Originally developed for use within the Space and Time data warehouse, this technology can now be harnessed by any SQL database or data warehouse hosted on Google Cloud. This advancement allows developers to cryptographically confirm the accuracy of query results, preventing tampering with the underlying data.
BigQuery, Google Cloud’s serverless and cost-effective data warehouse, is equipped with built-in Machine Learning (ML), Artificial Intelligence (AI), and Business Intelligence (BI) capabilities, offering scalable insights. The integration of Space and Time’s ZK-protocol aims to provide BigQuery users with cryptographic assurance that their data remains unaltered and that their queries produce verifiable results, especially important in the context of blockchain technology.
Blockchain technology is seeing increased adoption, with many enterprises seeking to connect their cloud data warehouse services to smart contracts to facilitate on-chain business logic. The integration of Proof of SQL into BigQuery will enable developers and enterprises to build Large Language Models (LLMs) trained on verifiable datasets, data-driven smart contracts, and zero-knowledge-powered business applications.
Pioneering a New Era of Data Verification
Space and Time’s decentralized Hybrid Transactional Analytical Processing (HTAP) data warehouse is now available for deployment directly from the Google Cloud marketplace. This data warehouse is a comprehensive solution equipped with a full suite of developer tools, including indexed blockchain data, an API gateway, a next-gen AI frontend, and Proof of SQL ZK technology.
Nate Holiday, CEO and Co-Founder of Space and Time, highlighted the growing demand for verifiability in enterprise operations and the potential of their collaboration with Google Cloud. He said, “We are working with Google Cloud to empower BigQuery clients to run ZK-verified data processes, cryptographically guaranteed by Proof of SQL. Enterprises are already beginning to demand verifiability throughout their stacks, and it’s only going to continue to accelerate. Through our collaboration with Google Cloud, we are laying the groundwork for the verify-everything future.”
Space and Time, as the first AI-powered decentralized data warehouse, is seamlessly bridging the gap between on-chain and off-chain data to deliver enterprise use cases to smart contracts. Their Proof of SQL technology opens doors to new use cases and business logic on blockchain technology, making it a valuable resource for developers in various industries, including financial services, gaming, DeFi, and any project requiring verifiable data across enterprise, blockchain, and AI.
As a Google Cloud Partner, Space and Time will enjoy various partner benefits, including development and go-to-market support, as well as Google Cloud credits that they can extend to their customers. With this integration, Space and Time and Google Cloud are pioneering a new era of data verification, empowering developers and enterprises to embrace a future where the authenticity of data and results can be cryptographically assured, paving the way for more secure and transparent digital ecosystems.
