Entropy Data provides a platform for managing data products using data contracts to establish trust and quality across data ecosystems. This solution enables teams to build a user-friendly data product marketplace for discovery and consumption. The platform integrates with existing data catalogs to offer a higher-level governance view focused on interoperability and documentation.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional data catalogs index every data asset, creating overwhelming inventories that lack semantic context, quality guarantees, and clear ownership. This makes it hard for business users and engineers to discover trustworthy data products and to enforce consistent governance across the organization.
Solution
Entropy Data provides a unified platform that turns raw data assets into consumable data products governed by explicit data contracts. Users can author contracts in YAML or Excel, publish products to a searchable marketplace, and manage access through a self‑service request‑approval workflow. The system enforces contract compliance and global governance policies with automated AI checks, while exposing open standards (ODCS for contracts, ODPS for products) and a rich integration SDK for major data platforms. Role‑based access control, SSO, and SCIM support enterprise security, and the optional MCP service lets AI agents query data products using contract semantics. The platform is available as a cloud SaaS or self‑hosted deployment, scaling from proof‑of‑concept to enterprise‑wide data mesh implementations.
Target Audience
Data engineers, product owners, and analytics teams in medium to large enterprises adopting a data‑mesh architecture, as well as AI developers needing reliable, contract‑driven data access.
Features
- Marketplace UI with semantic search and filter capabilities optimized for data products
- Contract authoring via web UI, YAML editor, or Excel template, supporting the Open Data Contract Standard (ODCS)
- Open Data Product Standard (ODPS) for consistent product metadata and versioning
- SDK and pre‑built connectors for AWS, Azure, GCP, Snowflake, Databricks, Kafka, and other platforms
- Automated policy compliance checks powered by AI, with optional custom models for on‑premise use
- Role‑based access control, SSO, SCIM, and fine‑grained permissions for teams and domains
- Self‑service access request and approval workflow, with audit trail and notifications
- MCP server enabling LLM‑driven natural‑language queries against data contracts