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docs(core-vs-cloud) update feature comparison (#14440)

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Co-authored-by: Jay <159848059+jayacryl@users.noreply.github.com>
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docs/managed-datahub/managed-datahub-overview.md
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@ -79,7 +79,9 @@ Features aimed at making it easy to discover data assets at your organization an
| Business User friendly experiences (for data analysts, BI analysts, data governance leads, PMs etc.) | ✅ | ✅ | | Business User friendly experiences (for data analysts, BI analysts, data governance leads, PMs etc.) | ✅ | ✅ |
| Personalization across the product | ✅ | ✅ | | Personalization across the product | ✅ | ✅ |
| Browser extension for BI Tools | ✅ | ✅ | | Browser extension for BI Tools | ✅ | ✅ |
| Slack AI Discovery Assistant - AI-powered, conversational data discovery | ❌ | ✅ **(beta)** |
| UI-based Automatic Documentation and Classification propagation across lineage | ❌ | ✅ | | UI-based Automatic Documentation and Classification propagation across lineage | ❌ | ✅ |
| Customizable Home Page for curated onboarding | ❌ | ✅ **(beta)** |
| Usage and graph-based search ranking | ❌ | ✅ | | Usage and graph-based search ranking | ❌ | ✅ |
| Generative AI to accelerate documentation and metadata-completeness | ❌ | ✅ | | Generative AI to accelerate documentation and metadata-completeness | ❌ | ✅ |
| Slack integration | ❌ | ✅ | | Slack integration | ❌ | ✅ |
@ -88,7 +90,7 @@ Features aimed at making it easy to discover data assets at your organization an
## Data Observability ## Data Observability
Features that help you ensure your data pipelines are producing high quality Features that help you ensure your data pipelines are producing high quality
assets, and if they’re not, making sure you and impacted users are the first to assets, and if they're not, making sure you and impacted users are the first to
know. know.
| Feature | DataHub | DataHub Cloud | | Feature | DataHub | DataHub Cloud |
@ -100,6 +102,7 @@ know.
| Rich In-Slack Incident management | ❌ | ✅ | | Rich In-Slack Incident management | ❌ | ✅ |
| Run Data Quality checks in-VPC | ❌ | ✅ | | Run Data Quality checks in-VPC | ❌ | ✅ |
| AI Anomaly Detection for Freshness, Volume, and Column stats | ❌ | ✅ | | AI Anomaly Detection for Freshness, Volume, and Column stats | ❌ | ✅ |
| Bulk-create AI Anomaly monitors | ❌ | ✅ |
| Monitor Freshness SLAs | ❌ | ✅ | | Monitor Freshness SLAs | ❌ | ✅ |
| Monitor Table Schemas | ❌ | ✅ | | Monitor Table Schemas | ❌ | ✅ |
| Monitor Table Volume | ❌ | ✅ | | Monitor Table Volume | ❌ | ✅ |
@ -120,6 +123,7 @@ out the datasets that seem to grow like weeds when no one's looking.
| Shift-Left governance | ✅ | ✅ | | Shift-Left governance | ✅ | ✅ |
| Dataset ownership management | ✅ | ✅ | | Dataset ownership management | ✅ | ✅ |
| Business glossary basics | ✅ | ✅ | | Business glossary basics | ✅ | ✅ |
| Customizable data access request and approval workflows | ❌ | ✅ **(beta)** |
| Shift-Left automations (i.e., source system sync back of metadata) | ❌ | ✅ | | Shift-Left automations (i.e., source system sync back of metadata) | ❌ | ✅ |
| Human-assisted Asset Certification Workflows (data owners, stewards) | ❌ | ✅ | | Human-assisted Asset Certification Workflows (data owners, stewards) | ❌ | ✅ |
| Dynamic Compliance Forms, with rich analytics | ❌ | ✅ | | Dynamic Compliance Forms, with rich analytics | ❌ | ✅ |