DataFitch vs Egeria
DataFitch
datafitch.ioEgeria
egeria-project.orgSide by side
| Figure | DataFitch | Egeria |
|---|---|---|
| Price from | $699/mo | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Data Lineage Tools | 8.0 (#12) | 7.4 (#21) |
| Deployment | The Custom plan lists on-premise or self-hosted deployment and MCP server access. | Egeria can run in a Docker container and the project describes using it standalone or as part of Kubernetes deployments. |
| Integrations | The connector library lists 150+ sources across databases, cloud platforms, CRM and sales, marketing, analytics, file storage, business apps, e-commerce, customer support, event streaming, BI tools, and advertising. | The project documents connectors and content packs for technologies including PostgreSQL, Microsoft SQL Server, Oracle Database, Db2, DuckDB, Unity Catalog, Apache Atlas, and Apache Kafka. |
| Security | The features page describes a SOC 2 compliant architecture, AES-256 encryption for credentials at rest and in transit, role-based access controls, SSO/SAML integration, and audit logging. | Egeria’s security guidance says secure deployment depends on both Egeria and the deployment environment, and describes access control, TLS, and threat modeling. |
Plans
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.