CastorDoc vs OpenDataDiscovery Platform
CastorDoc
castordoc.comOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | CastorDoc | OpenDataDiscovery Platform |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 1 |
| Spec score · Data Lineage Tools | 8.6 (#5) | 8.1 (#9) |
| Spec score · Active Metadata Management Software | 8.5 (#4) | 8.1 (#7) |
| Audience | CastorDoc says it is designed for data teams, governance teams, and business users. | The platform targets data teams of any size, including enterprises, small and midsize companies, and data science teams. |
| Integrations | Listed integrations include Snowflake, Redshift, BigQuery, Synapse, PostgreSQL, MySQL, Databricks, Looker, Tableau, Power BI, and Slack. | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Lineage | The product provides column lineage and shows how changes affect downstream assets. | The platform provides automatic company-wide ingestion-to-product lineage to help identify issues and affected stakeholders. |
| Search | Users can search for data sets and metrics using plain language and explore data at different skill levels. | The catalog supports search and faceted filtering by attributes such as data source, owner, and tag. |
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.