Dataedo vs Egeria
Dataedo
dataedo.comEgeria
egeria-project.orgSide by side
| Figure | Dataedo | Egeria |
|---|---|---|
| Price from | $1,500/mo | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Data Lineage Tools | 8.2 (#8) | 7.4 (#21) |
| Connectors | The connector directory lists sources including SQL Server, Snowflake, Databricks, Power BI, Tableau, and Microsoft Fabric. | The connector catalog includes integration, repository, runtime and security connectors, plus a REST client connector. |
| Deployment | The pricing page lists on-premises, self-hosted AWS, Azure and Google Cloud Platform, and Dataedo-hosted deployment options. | Egeria can run in a Docker container and the project describes using it standalone or as part of Kubernetes deployments. |
| Purpose | Dataedo describes itself as software for discovering, documenting, and sharing knowledge about data, with a centralized data catalog. | Egeria is an open source project for making metadata and related business context interoperable between tools and platforms. |
Plans
Dataedo
- Essentials$18,000 a year
- Data Lineage$24,000 a year
- Data Quality$32,000 a year
In their own words
Egeria
Egeria is an open-source project for enabling metadata and context interoperability across people, tools and platforms used in AI and data science. Its open metadata schema contains more than 600 types for describing an enterprise’s digital business. Specialist servers capture, analyze, search and manage metadata, and can extract, store and synchronize information across technologies. Egeria supports metadata exchange, linking and federation across different repositories, with frameworks intended to accommodate custom types, variations and systems. Its feature catalog includes cataloguing, lineage management, discovery, metadata security and synchronized access control. Discovery functions include schema extraction, resource profiling, and data class, grain, semantic and classification discovery. Connectors cover integration, repositories, runtime, security and REST client access. Documented content packs include PostgreSQL, Microsoft SQL Server, Oracle Database, Db2 for LUW, DuckDB, Unity Catalog, Apache Atlas and Apache Kafka. Interfaces include Egeria Explorer, Lineage Explorer, Data Mesh, The Catalog, Egeria Operations and Egeria Audit. It can run in a Docker container, standalone or as part of Kubernetes deployments. The community edition is free to use.