From e5327fe087f65b435aa53a65f703f6e749b9dbff Mon Sep 17 00:00:00 2001 From: Shirshanka Das Date: Wed, 17 Apr 2024 00:47:52 -0700 Subject: [PATCH] docs: add content describing diff between datahub and acryl datahub (#10301) Co-authored-by: Hyejin Yoon <0327jane@gmail.com> --- .../managed-datahub-overview.md | 108 +++++++++++++++++- 1 file changed, 104 insertions(+), 4 deletions(-) diff --git a/docs/managed-datahub/managed-datahub-overview.md b/docs/managed-datahub/managed-datahub-overview.md index 79ffc2ce984513..c463da7e01678b 100644 --- a/docs/managed-datahub/managed-datahub-overview.md +++ b/docs/managed-datahub/managed-datahub-overview.md @@ -1,8 +1,108 @@ -# Managed DataHub Exclusives +# How Acryl DataHub compares to DataHub -Acryl DataHub offers a slew of additional features on top of the normal OSS project. +DataHub is the #1 open source metadata platform for developers. -## Chrome Extension +Acryl DataHub takes DataHub to the next level by offering features that allow +you to roll out the product to the entire organization beyond your central data +platform team. + +We’ve organized this comparison using a few categories. We love well-organized +checklists and we hope you love them too! + +## Search and Discovery +Features aimed at making it easy to discover data assets at your organization and understand relationships between them. + +| Feature | DataHub | Acryl DataHub | +| ---------------------------------------------- | ------- | ------------- | +| Integrations for 50+ data sources | ✅ | ✅ | +| Table level, Column-level, Job-level lineage | ✅ | ✅ | +| Search across all metadata (technical, operational, business) | ✅ | ✅ | +| Usage and graph-based search ranking | ❌ | ✅ | +| 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 | ❌ | ✅ | +| No-code metadata automations for automated enrichment | ❌ | ✅ | +| Slack integration | ❌ | ✅ | +| Subscribe to assets, activity, and notifications | ❌ | ✅ | + +## 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 | Acryl DataHub | +| ---------------------------------------------- | ------- | ------------- | +| Shift-Left governance | ✅ | ✅ | +| Dataset ownership management | ✅ | ✅ | +| Business glossary basics | ✅ | ✅ | +| Human-assisted Asset Certification Workflows (data owners, stewards) | ❌ | ✅ | +| Computational Governance standards as continuous tests | ❌ | ✅ | +| Approval Workflows - Business glossary modifications | ❌ | ✅ | +| Approval Workflows - Associating glossary terms with assets | ❌ | ✅ | +| Approval Workflows - Ownership | ❌ | ✅ | + +## Data Observability +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 +know. + +| Feature | DataHub | Acryl DataHub | +| ---------------------------------------------- | ------- | ------------- | +| Surface data quality results | ✅ | ✅ | +| Build and enforce continuous data SLAs | ❌ | ✅ | +| Continuous monitoring of dataset health | ❌ | ✅ | +| Data observability alerts and notifications | ❌ | ✅ | +| Data Incident management | ❌ | ✅ | + + +## Enterprise Grade +Features needed to roll out at scale to large enterprises. + +| Feature | DataHub | Acryl DataHub | +| ---------------------------------------------- | ------- | ------------- | +| Battle-tested open source metadata platform | ✅ | ✅ | +| Metadata change events as a real-time stream | ✅ | ✅ | +| 99.5% Uptime SLA | ❌ | ✅ | +| Data Lake and Data Warehouse off-ramp for metadata analytics | ❌ | ✅ | +| Fine-grained access control policies (e.g., default DENY) | ❌ | ✅ | +| Pre-defined roles for permissions | ❌ | ✅ | +| Shared audit logs | ❌ | ✅ | + + +## Implementation and Support +Features related to ease of deployment and maintenance. + +| Feature | DataHub | Acryl DataHub | +| ---------------------------------------------- | ------- | ------------- | +| 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.)| +| Accelerators for your code contributions to DataHub | ❌ | ✅ | +| Cloud-hosted instance (AWS, GCP, BYOC) | ❌ | ✅ | +| Support for AWS PrivateLink, IP address restrictions, etc. | ❌ | ✅ | +| Dedicated customer success team | ❌ | ✅ | +| Implementation Support | ❌ | ✅ | +| Ingestion Support | ❌ | ✅ | +| Dedicated Slack Support | ❌ | ✅ | + +## More Questions? + +Have more questions and want to talk to someone? Fill out +the form using the link below, and someone from the Acryl team will reach +out to set up a chat. + + + Learn about Acryl DataHub + + +