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Space and Time
Space and Time

Space and Time

Tools & InfrastructureCloud ComputeCore Tech Stack

Space and Time revolutionizes Web3 analytics by integrating on-chain and off-chain data in a decentralized data warehouse. Leveraging Proof of SQL technology, it ensures secure, verifiable queries across multiple blockchains. The platform enhances dApps and DeFi projects with enterprise-grade SQL, AI Prompt-to-SQL for natural language queries, and comprehensive Web3 Data APIs, making complex data analysis accessible and efficient.

 

Space and Time Overview

Space and Time (SxT) is a decentralized data warehouse designed to address the needs of the Web3 ecosystem by facilitating the integration and analysis of on-chain and off-chain data. Launched in 2021, it aims to provide smart contract developers and enterprises with verifiable access to data through a massively parallel HTAP database, supporting a wide range of functionalities including analytics, machine learning models, APIs, and more within a single data storage solution.

Decentralized Data Warehouse

Enterprise-Grade SQL and APIs

Space and Time offers enterprise-grade SQL and APIs, enabling the seamless integration and analysis of data across multiple blockchains. This multichain support allows users to access and analyze data without compromising on security, integrity, and performance.

Proof of SQL Technology

The platform’s Proof of SQL technology utilizes zero-knowledge proofs to ensure that SQL queries and the underlying data remain secure and untampered, providing a level of transparency crucial in the digital age.

AI SQL and Web3 Data APIs

AI Prompt-to-SQL

Space and Time’s AI Prompt-to-SQL feature translates natural language prompts into SQL queries, making SQL accessible to those without prior programming experience. This innovation streamlines data engineering tasks across various roles, enhancing efficiency and accessibility.

Indexed Blockchain Data

The platform provides real-time indexed blockchain data from major chains such as Ethereum, Polygon, BNB Chain, Sui, and Avalanche at no cost. Developers can use this data to build dApps, access specific protocols like Uniswap and Aave, and create new tables from their own smart contract events.

Team, Partnerships, and Funding

Leadership and Development Team

Space and Time is led by a diverse team of experts in blockchain engineering, data science, cryptography, and business. Co-founders Nate Holiday (CEO) and Scott Dykstra (CTO) bring a wealth of experience in software development, distributed systems, and data science.

Strategic Investments and Collaborations

In 2022, the project secured significant funding, with a $10 million seed funding round led by Framework Ventures and a $20 million strategic investment from Microsoft’s M12. Partnerships with industry leaders like Polygon, Amazon Web Services, Microsoft Azure, NVIDIA, Chainlink, Mysten Labs, and Sotero further establish its presence in the Web3 data landscape.

Applications and Use Cases

Space and Time supports a wide array of applications, including dApp development, DeFi/lending strategies, gaming/NFTs, and Web2 enterprises. Its robust infrastructure is capable of handling large datasets and complex queries efficiently, making it a pivotal tool for blockchain insights and analytics.

Technical Architecture

Hybrid Transactional/Analytic Processing

The core of Space and Time’s technology is a hybrid transactional/analytic (HTAP) data warehouse that blends OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing) capabilities. This allows for high-volume, real-time transaction processing alongside efficient analysis of massive datasets.

Future Directions

Space and Time continues to evolve, aiming to enhance the capabilities and reach of decentralized data analytics. With its innovative features, strategic partnerships, and strong backing from the tech and blockchain communities, it is well-positioned to play a significant role in the advancement of Web3 technologies.

For further reading and resources, visit the official Space and Time documentation.

CONTENTS

  • Space and Time Overview
  • Decentralized Data Warehouse
  • AI SQL and Web3 Data APIs
  • Team, Partnerships, and Funding
  • Applications and Use Cases
  • Technical Architecture
  • Future Directions

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