OpenDataDiscovery Platform vs Truedat
OpenDataDiscovery Platform
opendatadiscovery.orgTruedat
truedat.ioSide by side
| Figure | OpenDataDiscovery Platform | Truedat |
|---|---|---|
| Price from | Free | €7/mo |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Data Lineage Tools | 8.1 (#9) | 7.7 (#16) |
| Data quality | The platform supports integration with data quality tools and connects quality information to lineage and alerts. | Users can define and administer quality rules according to their organization’s quality principles. |
| Deployment | The site offers local Docker Compose, Kubernetes deployment with Helm charts, and AWS Marketplace QuickLaunch. | The maker says Truedat is installed in the environment of the customer’s choice. |
| Lineage | The platform provides automatic company-wide ingestion-to-product lineage to help identify issues and affected stakeholders. | Data Lineage visualizes data life cycles and connections across organizational systems to support traceability and impact analysis. |
| Purpose | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. | Truedat is a data governance solution developed by Bluetab, an IBM Company, to help clients become data-driven companies. |
| Support | The product site lists a dedicated team, a helpful team, and a community as support options. | Enterprise Support is listed among the additional features Enterprise customers may purchase. |
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.