Collate vs OpenDataDiscovery Platform
Collate
getcollate.comOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | Collate | OpenDataDiscovery Platform |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | 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 (#11) | 8.1 (#9) |
| Deployment | Deployment options include multi-tenant SaaS, single-tenant SaaS, hybrid SaaS, and private Bring Your Own Cloud for AWS, GCP, and Azure. | The site offers local Docker Compose, Kubernetes deployment with Helm charts, and AWS Marketplace QuickLaunch. |
| Integrations | Collate lists integrations including Snowflake, Tableau, Power BI, dbt, Airflow, Databricks, Salesforce, SAP, Slack, Teams, Claude, and Gemini. | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Lineage | The platform offers service-, domain-, and product-level lineage tracing data from source to dashboard across cloud and platform boundaries. | The platform provides automatic company-wide ingestion-to-product lineage to help identify issues and affected stakeholders. |
| Security | Collate states that it has SOC 2 Type II, CCPA, and GDPR certifications, with TLS 1.3 encryption in transit, AES-256 encryption at rest, RBAC, SSO, and penetration testing. | ODD supports authentication through LDAP, and its documentation warns against using its simple login-form authentication in production. |
| Support | Support ranges from email on Free Tier to email and Pylons on Premium, with Enterprise adding support chat and available global 24x7 coverage. | 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.