Microsoft Defender for Business vs OpenDataDiscovery Platform
Microsoft Defender for Business
microsoft.comOpenDataDiscovery Platform
opendatadiscovery.orgSide by side
| Figure | Microsoft Defender for Business | OpenDataDiscovery Platform |
|---|---|---|
| Price from | $0.25/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Data Lineage Tools | 8.4 (#6) | 8.1 (#9) |
| Spec score · Active Metadata Management Software | 8.4 (#5) | 8.1 (#7) |
| Integrations | The product integrates with Microsoft 365 Lighthouse and can work with remote monitoring and management tools and professional services automation software. | The product site lists integrations including MongoDB, ClickHouse, dbt, Snowflake, Tableau, BigQuery, Kafka, PostgreSQL, and others. |
| Purpose | Microsoft Defender for Business is an endpoint security solution for small and medium-sized businesses with up to 300 users that helps protect devices from ransomware, malware, phishing, and other threats. | OpenDataDiscovery describes itself as an end-to-end data discovery, observability, and governance platform. |
| Support | Microsoft's Defender for Business documentation provides a guide for getting help or contacting support. | The product site lists a dedicated team, a helpful team, and a community as support options. |
Plans
Microsoft Defender for Business
- Microsoft Defender for Business$3 a month
- Microsoft Entra Internet Access$5 a month
- Microsoft Entra Suite$12 a month
- Microsoft Defender for Business$3 a year
In their own words
Microsoft Defender for Business
Microsoft Defender for Business 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.