Alation Data Lineage vs OpenDataDiscovery Platform
Alation Data Lineage
alation.comOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | Alation Data Lineage | OpenDataDiscovery Platform |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Lineage Tools | 7.8 (#15) | 8.1 (#9) |
| Deployment | Alation documentation applies lineage to both Alation Cloud Service and customer-managed instances. | The site offers local Docker Compose, Kubernetes deployment with Helm charts, and AWS Marketplace QuickLaunch. |
| Integrations | Alation says it offers more than 120 connectors, including connectors for databases and BI platforms, and supports custom connector development through its Open Connector Framework SDK. | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Purpose | Maps data flows, transformations, and dependencies so users can trace data from source to destination. | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. |
| Security | Alation says Cloud Service customer data is encrypted and not accessible to its site engineers. | ODD supports authentication through LDAP, and its documentation warns against using its simple login-form authentication in production. |
| Support | Alation offers product demonstrations and directs prospective customers to contact its sales team for pricing and product information. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
In their own words
Alation Data Lineage
Alation Data Lineage has no write-up on Specifiction yet; its figures are above.
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.