DataFitch vs OpenDataDiscovery Platform
DataFitch
datafitch.ioOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | DataFitch | OpenDataDiscovery Platform |
|---|---|---|
| Price from | $699/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Data Lineage Tools | 8.0 (#12) | 8.1 (#9) |
| Data quality | Its quality tools include schema validation, row-level checks, anomaly detection, lineage tracking, and dataset quality scoring. | The platform supports integration with data quality tools and connects quality information to lineage and alerts. |
| Deployment | The Custom plan lists on-premise or self-hosted deployment and MCP server access. | The site offers local Docker Compose, Kubernetes deployment with Helm charts, and AWS Marketplace QuickLaunch. |
| 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 product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| 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. | ODD supports authentication through LDAP, and its documentation warns against using its simple login-form authentication in production. |
| Support | Pro includes email and community support, Enterprise includes phone and email support, and Custom includes dedicated SLA support. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
In their own words
OpenDataDiscovery Platform
OpenDataDiscovery Platform is an open-source catalog for finding and governing data products across data teams. Search and facet filters help users locate metadata by source, owner, or tag, then explore ownership and related links. The platform traces data objects and microservices end to end, imports data quality test results, and shows dataset quality status. It also catalogs machine-learning experiment metadata and lineage and supports experiment logging, connecting data science and data engineering work. Teams can access collected metadata through a web interface or REST API, and deploy with Docker Compose, Kubernetes and Helm charts, or AWS Marketplace QuickLaunch. The catalog uses an open metadata collection standard to connect catalogs, tools, and feature stores; Lookup Tables support reference data governance. ODD supports LDAP authentication and USER and ADMIN roles. Its documentation cautions against simple login-form authentication in production. Metadata attachments are limited to 20 MB, while links can point to larger or remotely stored files. The platform is free and open source, with public development.