Get your Data together.
Skip the spreadsheets and tribal knowledge. Capture your data landscape once, stay in sync forever.
Features
Data Catalog
Centralized, searchable inventory of Data Assets. Data Assets - your databases, tables and columns
Data Lineage
Visual and technical record of how data moves and changes from its original source to its final destination
Glossary
Curated list of standardized business terms, each with an agreed definition, examples, and related metadata
Data Policy
Formal set of rules that defines how an organization's data must be collected, stored, accessed, shared, and retained
Data Quality
Measures the degree to which data is accurate, complete, consistent, timely, and valid for its intended use
API Access
Platform exposes capabilities (like searching the catalog, fetching metadata, or running lineage/quality queries) through standard HTTP/REST or similar interfaces
MCP Access
Platform allows to expose your data catalog and governance capabilities via the Model Context Protocol, so LLMs and AI agents (like Claude, ChatGPT, IDE copilots) can securely discover and use governed data products
Audit Logs
Records a tamper-resistant history of who did what, when, and to which data or metadata object inside the governance platform
Pricing
Choose the plan that fits your team. Scale as you grow.
Intro
20 €/mo
- 3 seats (1 Admin)
- 2 Connectors
- 100 Data Assets
- Data Catalog
- Glossary
- Basic Data Lineage
Starter
500 €/mo
- 14 seats (1 Admin, 1 Steward)
- 5 Connectors
- 1000 Data Assets
- Data Catalog
- Glossary
- API Access
- MCP Access
- Full Data Lineage
- Data Policy
Growth
1000 €/mo
- 40 seats (2 Admins, 2 Stewards)
- 10 Connectors
- 5000 Data Assets
- Data Catalog
- Glossary
- API Access
- MCP Access
- Full Data Lineage
- Data Policy
- Data Quality
Frequently Asked Questions
Data governance is the set of policies, roles, processes, and tools that ensure data is accurate, secure, compliant, and used consistently across the organization.
Typical problems include not knowing what datasets exist, duplicated or conflicting definitions, slow data discovery, unclear ownership, and difficulty proving compliance.
A data dictionary focuses on technical details like tables, columns, and data types for a specific system, while a data catalog inventories data assets across many systems and adds business context, ownership, and usage information
We don't believe in freemium, however we do offer generous 21 days trial
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