Dawiso
7.5#2 in metadata management softwareFrom €445 a monthAndroidiOSWebAPI
VisitDawiso vs MetaKarta
What both publish
| Fact | Dawiso | MetaKarta |
|---|---|---|
| Data catalog | The catalog scans warehouses, lakes, BI tools, business systems and documents, storing metadata with column-level lineage and quality signals. | The data catalog attaches business context to technical metadata harvested directly from the data estate. |
| Deployment | Deployment options are Azure-hosted SaaS, full on-premises installations and Enterprise hybrid or private-cloud setups. | Customer-managed deployment can run on-premises or in private/public cloud environments including AWS, Azure and GCP. |
| Founded | 2019 | 1997 |
| MCP | Its Model Context Protocol server lets external AI assistants search and act on Dawiso metadata using the same permissions model. | MetaKarta includes an administrator-enabled Model Context Protocol server for metadata-management and Semantic Hub tools, resources and prompts. |
| Purpose | Dawiso is an enterprise data governance platform that turns metadata into trusted, AI-ready data products and gives people and AI agents a shared governed representation. | MetaKarta is an enterprise metadata management platform with one shared metadata repository for lineage, cataloging, governance and semantic definitions. |
Dawiso plans
- Standard€445 a month
- CorporatePriced on request
- EnterprisePriced on request
MetaKarta plans
- Data Lineage Starter$50 a year
- Semantic Hub Starter$50 a year
- AdvancedPriced on request
- StandardPriced on request
- UltimatePriced on request
Pick Dawiso if…
Dawiso is aimed at enterprises, including organizations in banking, insurance, energy, and manufacturing. It may suit teams seeking metadata discovery, glossary, lineage, and deployment options including on-premises.
Pick MetaKarta if…
MetaKarta is aimed at data professionals in large enterprises and government agencies. It suits organizations that need shared metadata governance, lineage and semantic definitions across varied data systems.