Data Layer

Decentralized, multi-purpose data layer for applications and blockchains

In the context of Data Layer, data availability refers to the ability to access and utilize data across an organization in a reliable, consistent, and self-serve manner. It is one of the key principles of the Data Layer architecture.

Traditionally, in a centralized data architecture, data availability often relies on a centralized team or department that acts as a gatekeeper for data access. This approach can create bottlenecks and delays in accessing data, which can hinder the agility and autonomy of teams within an organization.

In contrast, Data Layer promotes a decentralized approach to data availability. It encourages the distribution of data ownership and governance to individual domain teams, who have the best understanding of their specific data needs and can manage their data products independently. This allows domain teams to have direct control and accountability over their data, leading to faster and more efficient access.

By promoting data availability in a Data Layer, organizations can foster a culture of data empowerment, enabling teams to make better-informed decisions and drive innovation more effectively.

Real-time data streams

We're creating a foundation for responsive dApps & blockchain services with real-time data streams for finalized transactions & mempool. Our open-source ecosystem allows instant data sharing between blockchains, fostering scalable communication and high-throughput in dApps.

Streaming historical on-chain data

Our goal is to unify real-time & historical data through decentralized streaming, contrasting with traditional APIs by providing instant data access. Our system incorporates historical data in real-time streams, allows granular filtering, and is built for maximum redundancy & data availability.

Data Availability Network

Data availability issues hinder scalable, secure, decentralized blockchain solutions. A Data Layer is key for light clients, chain scaling, and rollups.

In the Data Availability Network, full nodes handle fraud proof construction and block data recovery, while light clients perform data availability sampling, approving or rejecting block data based on completeness and availability, without verifying all data.

What is Data Layer?

The Decentralized Real-Time Data Layer is a cutting-edge data architecture designed to enable efficient and autonomous access to real-time data from multiple blockchains, including Bitcoin, Ethereum, Solana, Aptos, Bitcoin Whales, Osmosis and Osmosis Swaps. Built on the principles of the Data Layer framework, this solution revolutionizes the way organizations consume and utilize blockchain data by decentralizing ownership and governance while promoting self-serve access.

Key Features

  1. Enhanced Data Availability: Our Data Layer ensures reliable and consistent access to real-time blockchain data, enabling teams to make faster, data-driven decisions.
  2. Autonomy and Agility: By decentralizing data ownership and governance, teams have the autonomy to manage their own blockchain data products, resulting in increased agility and faster time to insights.
  3. Self-Serve Data Access: The self-serve capabilities of our solution empower teams to discover, access, and utilize blockchain data independently, reducing dependencies on centralized data providers.
  4. Innovation and Collaboration: By providing real-time blockchain data, our solution promotes innovation and collaboration across teams, allowing for the development of new insights, products, and services.

Pub-Sub Concept

The Syntropy Data Layer (DL) can be understood as a pub-sub (publish-subscribe) concept that enables real-time data communication and distribution within a decentralized network. In the pub-sub model, there are two main components: publishers and subscribers.

Publishers are the sources of data, such as blockchain transactions or other relevant information. They publish this data to specific channels or topics without knowing who the subscribers are. They are decoupled from the subscribers and do not need to have direct communication with them.

Subscribers, on the other hand, express interest in specific channels or topics and receive data updates from publishers whenever new information is available. They are decoupled from the publishers and do not need to know where the data is coming from; they simply subscribe to the topics they are interested in.

In the context of the Syntropy Data Layer, the blockchain acts as the source of data for publisher, continuously generating new transactions and events. The DL provides a mechanism for developers to subscribe to specific data streams based on their needs and interests. This enables real-time access to blockchain data without the need to interact directly with the blockchain itself.

The pub-sub concept in the DL allows for flexibility and scalability. It ensures that data is efficiently distributed to relevant parties who have expressed interest in specific topics, reducing unnecessary data transfer and optimizing data flow within the network.

By utilizing the pub-sub model, the Syntropy Data Layer simplifies data access, enhances real-time data availability, and facilitates the creation of innovative decentralized applications that can make use of blockchain data in various ways.

Overall, the Syntropy Data Layer as a pub-sub concept provides a powerful and efficient mechanism for developers to interact with real-time blockchain data and build decentralized applications that leverage the benefits of a data mesh architecture.