Space and Time is the trustless intermediary between enterprise data and the blockchain.


Space and Time (SxT) creates a navigable bridge from Web2 to Web3 for traditional enterprises by presenting a novel paradigm in a very familiar and useful package: data warehousing. Enterprises often need to connect large volumes of business data from source systems (operational databases, ERP systems, etc) directly to major chains. Space and Time uniquely enables enterprises to onboard their data from centralized source systems into a tamperproof, decentralized data warehouse with familiar tools to enable new use cases powered by smart contracts. Space and Time's ability to connect analytic query results directly to smart contracts (with cryptographic guarantees), serves as a trustless intermediary between enterprise data warehouses and the limited storage of the blockchain itself.

Industry shifts

As seen with Web2, then Cloud, then AI/ML, there is mounting pressure for traditional enterprises to begin exploring Web3 technology. This can be daunting, as Web3 is a completely novel way of envisioning compute—from infrastructure, to software, to ownership, to value creation—but, as with any market change, companies will either be rewarded for being ahead of the adoption curve or punished for lagging behind. In anticipation of this shift, SxT is targeting both Web3-native companies seeking to ease the burden of merging blockchain data and traditional datasets with cryptographic guarantees, as well Web2 enterprises looking to begin a Web3 journey, using well-understood analytics and data warehouse technology as a springboard to simplify and provide context for better, faster understanding.

What's the same?

SxT is both a transactional data store and a data warehouse, made possible by Web3 distributed computing techniques and new advances in open source data technologies. This means that, at its core, it’s an ANSI-Compliant SQL database. Users can run queries using familiar SQL editor tools via ODBC/JDBC and submit API requests using REST and GraphQL. In short, SxT implements a SQL database that every enterprise on the planet has used somewhere in their analytic ecosystem over the last 40 years and will feel very familiar to the end user.

What's different?

The SQL interface for Space and Time may be familiar to everyone, but the underpinnings are quite unique. Rather than a single logical IT asset hosted locally or in the cloud, SxT is a decentralized application and is distinct from distributed applications like Spark, Snowflake, or Hadoop, which work as one logical entity composed of many units of compute. Rather, SxT is a network of these distributed applications, essentially a cluster-of-clusters.

But what really sets SxT technology apart is the fact that individual clusters are decentralized, meaning that anyone can become a cluster operator and expand the SxT network. Rather than requiring trust in a centralized, monolithic provider, SxT is quintessentially Web3: part of a decentralized network of community providers for whom trust is not required. By leveraging blockchain, cryptography, and encryption, data can be distributed, stored, and queried securely with immutable audit trails.

SxT can also return cryptographic guarantees that the SQL submitted was the SQL run using our novel Proof of SQL cryptography. Alongside a chain-anchored merkle tree that provides proof of storage, Proof of SQL provides validation (rather than trust) and opens the way for anyone to start a SxT cluster, join the network, and be paid for their services. Like anyone, an enterprise can also become a node operator, such that revenue from the compute contributions back to the network offset the cost of their own usage—making SxT essentially free, or even potentially profitable.

Key considerations: security and transparency

To enterprises, the idea of handing data to 3rd party node operators can be unnerving. SxT guarantees data security in two ways:

  • End-to-End encryption: The easiest way to protect data on SxT is built-in encryption that makes data, while still accessible, unreadable to third parties.
  • Private Node Cluster: Enterprises can build their own SxT cluster inside their intranet to service only internal requests, while still able to participate in multi-cluster joins and join to external databases as needed.

Web3 has been characterized by a movement from data protectionism to data transparency: most players in the Web3 space are comfortable sharing many operational datasets, where privacy allows. Of course, there is enterprise data inappropriate to publish, which is why SxT merges traditional DWH data with blockchain data on one system. SxT also incentivizes data providers to transparently share data sets, where appropriate. All this to say: Web3 companies think through what can be shared with the community and what must be secured, rather than always defaulting to the latter.

What it means

For forward-looking traditional organizations that want to begin exploring and understanding new technologies and operating expectations, SxT is uniquely capable of assisting by providing tangible value for both Web3 (plan for the future) and Web2 (generate value today) use cases.