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---
title: "How DataHub Cloud compares to DataHub OSS"
---
# How DataHub Cloud compares to DataHub OSS
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## DataHub Cloud: AI & Data Context Platform
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DataHub Cloud delivers a fully-managed version of DataHub's powerful metadata platform, offering enhanced capabilities for data discovery, observability, and governance that accelerate the production-readiness of your data and AI assets.
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### Enterprise-Grade Service
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- **Proven Implementation Service** tailored to your organization's specific needs
- **SLA-Backed Reliability** ensuring 99.5% uptime for critical operations
- **Optimized Performance** with infrastructure fine-tuned and managed by experts
- **Flexible Deployment Options** for the most sensitive data scenarios
- **Enhanced Security Controls** meeting enterprise compliance requirements
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### Accelerated Adoption
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- **Comprehensive Team Training** to maximize platform utilization
- **Expert Support** providing guidance through your data journey
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### Add-on Capabilities
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- **Enhanced Discovery & Understanding** with personalized user experiences, AI-generated documentation and propagation, and collaboration features
- **Improved Data Quality Monitoring** with ability to run quality checks, use AI anomaly detection, and comprehensively monitor data assets
- **Robust Governance Mechanisms** with dynamic compliance forms, certification & approval workflows, and enforced governance standards
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DataHub Cloud empowers organizations to unlock the full potential of their data assets through superior discovery capabilities, comprehensive observability, and robust governance—all within a managed, secure environment.
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## Enterprise-Grade Managed Service
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Features needed to roll out at scale to large enterprises.
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| Feature | DataHub | DataHub Cloud |
| ------------------------------------------------------------------------------------------------------- | ------- | ------------- |
| Battle-tested open source metadata platform | ✅ | ✅ |
| Metadata change events as a real-time consumable stream | ✅ | ✅ |
| Pre-defined roles for permissions | ✅ | ✅ |
| 99.5% Uptime SLA | ❌ | ✅ |
| In-VPC Remote Execution Agent to run tasks that communicate with sensitive data sources | ❌ | ✅ |
| Data off-ramp for metadata analytics | ❌ | ✅ |
| Enterprise RBAC support with additional permissions for declaring domain- or attribute-scoped personas. | ❌ | ✅ |
| Shared audit logs | ❌ | ✅ |
| SOC-2 Compliant | ❌ | ✅ |
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## Implementation and Support
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Features related to ease of deployment and maintenance.
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| Feature | DataHub | DataHub Cloud |
| ---------------------------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Community support | ✅ | ✅ |
| Your own engineering team | ✅ | ❌ (They can instead focus on high-value work like contributing features to the open source product, or build amazing data applications with the APIs!) |
| Your private fork of DataHub | ✅ | ❌ (You won't need to manage and maintain your own fork, upgrade to latest releases etc.) |
| Cloud-hosted instance (AWS, GCP, BYOC) | ❌ | ✅ |
| Monitored and managed by DataHub engineers | ❌ | ✅ |
| Dedicated customer success team | ❌ | ✅ |
| Implementation Advisory and Support | ❌ | ✅ |
| Ingestion Support | ❌ | ✅ |
| Accelerators for your code contributions to DataHub | ❌ | ✅ |
| Support for AWS PrivateLink, IP address restrictions, etc. | ❌ | ✅ |
| Dedicated Zendesk Support | ❌ | ✅ |
## Data Discovery
Features aimed at making it easy to discover data assets at your organization and understand relationships between them.
| Feature | DataHub | DataHub Cloud |
| ---------------------------------------------------------------------------------------------------- | ------- | ------------- |
| Integrations for 70+ data sources | ✅ | ✅ |
| Metadata transformers to enrich metadata at ingestion time | ✅ | ✅ |
| Table level, Column-level, Job-level lineage | ✅ | ✅ |
| Search across all metadata (technical, operational, business) | ✅ | ✅ |
| Table and column-level lineage and impact analysis | ✅ | ✅ |
| Support for domains, data products, data contracts | ✅ | ✅ |
| Developer friendly experiences (for data engineers, AI engineers, etc.) | ✅ | ✅ |
| Business User friendly experiences (for data analysts, BI analysts, data governance leads, PMs etc.) | ✅ | ✅ |
| Personalization across the product | ✅ | ✅ |
| Browser extension for BI Tools | ✅ | ✅ |
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| Slack AI Discovery Assistant - AI-powered, conversational data discovery | ❌ | ✅ ** (beta)** |
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| UI-based Automatic Documentation and Classification propagation across lineage | ❌ | ✅ |
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| Customizable Home Page for curated onboarding | ❌ | ✅ ** (beta)** |
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| Usage and graph-based search ranking | ❌ | ✅ |
| Generative AI to accelerate documentation and metadata-completeness | ❌ | ✅ |
| Slack integration | ❌ | ✅ |
| Subscribe to assets, activity, and notifications | ❌ | ✅ |
## Data Observability
Features that help you ensure your data pipelines are producing high quality
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assets, and if they're not, making sure you and impacted users are the first to
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know.
| Feature | DataHub | DataHub Cloud |
| ------------------------------------------------------------ | ------- | ------------- |
| Surface data quality results across the catalog | ✅ | ✅ |
| Data Quality Impact Analysis in Lineage | ✅ | ✅ |
| Create Data Contracts | ✅ | ✅ |
| Manage Data Incidents | ✅ | ✅ |
| Rich In-Slack Incident management | ❌ | ✅ |
| Run Data Quality checks in-VPC | ❌ | ✅ |
| AI Anomaly Detection for Freshness, Volume, and Column stats | ❌ | ✅ |
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| Bulk-create AI Anomaly monitors | ❌ | ✅ |
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| Monitor Freshness SLAs | ❌ | ✅ |
| Monitor Table Schemas | ❌ | ✅ |
| Monitor Table Volume | ❌ | ✅ |
| Monitor Column Quality | ❌ | ✅ |
| Monitor with Custom SQL | ❌ | ✅ |
| Get Notified where you work (Slack, Email, more) | ❌ | ✅ |
| Birds-eye view Data Health Dashboard, with Quality trends | ❌ | ✅ |
| Evaluate data contracts on-demand (API) | ❌ | ✅ |
| Evaluate data quality checks on-demand (API + UI) | ❌ | ✅ |
## Data Governance
Features that help you govern the crown jewels of your organization, and trim
out the datasets that seem to grow like weeds when no one's looking.
| Feature | DataHub | DataHub Cloud |
| ------------------------------------------------------------------------- | ------- | ------------- |
| Shift-Left governance | ✅ | ✅ |
| Dataset ownership management | ✅ | ✅ |
| Business glossary basics | ✅ | ✅ |
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| Customizable data access request and approval workflows | ❌ | ✅ ** (beta)** |
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| Shift-Left automations (i.e., source system sync back of metadata) | ❌ | ✅ |
| Human-assisted Asset Certification Workflows (data owners, stewards) | ❌ | ✅ |
| Dynamic Compliance Forms, with rich analytics | ❌ | ✅ |
| Computational Governance standards as continuous tests | ❌ | ✅ |
| Approval Workflows - Business glossary modifications | ❌ | ✅ |
| Approval Workflows - Associating glossary terms, tags, owners with assets | ❌ | ✅ |
| Approval Workflows - Documentation modifications | ❌ | ✅ |
| AI Classification | ❌ | ✅ ** (beta)** |
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## More Questions?
Have more questions and want to talk to someone? Fill out
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the form using the link below, and someone from the DataHub team will reach
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out to set up a chat.
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< a href = "https://www.datahub.com/demo?utm_source=datahub&utm_medium=referral&utm_campaign=acryl_vs_datahub" style = {{ display: ' inline-block ', padding: ' 10px 20px ', margin: ' 10px 0 ', backgroundColor: ' #007bff ', color: ' white ', borderRadius: ' 5px ', textDecoration: ' none ', textAlign: ' center ' }} >
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Learn about DataHub Cloud
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< / a >
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<!--
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Fill out
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[this form ](https://www.datahub.com/demo?utm_source=datahubproject&utm_content=acryl_vs_datahub ), and someone from the DataHub team will reach out to set up a chat.
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## Chrome Extension
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- [Early Access to the DataHub Chrome Extension ](docs/managed-datahub/chrome-extension.md )
## Additional Integrations
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- [Slack Integration ](docs/managed-datahub/slack/saas-slack-setup.md )
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- [Remote Ingestion Executor ](docs/managed-datahub/operator-guide/setting-up-remote-ingestion-executor.md )
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- [AWS Privatelink ](docs/managed-datahub/integrations/aws-privatelink.md )
- [AWS Eventbridge ](docs/managed-datahub/operator-guide/setting-up-events-api-on-aws-eventbridge.md )
## Additional SSO/Login Support
- [OIDC SSO Integration in the UI ](docs/managed-datahub/integrations/oidc-sso-integration.md )
## Expanded API Features
- [Entity Events API ](docs/managed-datahub/datahub-api/entity-events-api.md )
## More Ways to Act on Metadata
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- [Approval Workflows ](docs/managed-datahub/change-proposals.md )
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- [Metadata Tests ](docs/tests/metadata-tests.md ) -->