Databricks Unity Catalog vs Amazon DataZone

Databricks Unity Catalog9.4Visit Amazon DataZone8.7Visit

Higher score Databricks Unity Catalog #1 in Data Catalog and Governance Software 9.4/10 Paid ✓ 0 of 4 features Visit Databricks

vs

Amazon DataZone #8 in Data Catalog and Governance Software 8.7/10 Paid ✓ 0 of 4 features Try Amazon DataZone

• Databricks Unity Catalog fits best

  Databricks-centric enterprise data teams

• Amazon DataZone fits best

  AWS-centered teams sharing governed data

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Side by side

Feature	Databricks Unity Catalog 9.4/10 Visit ↗	Amazon DataZone 8.7/10 Visit ↗
At a glance
Editor score	9.4	8.7
Ranking	#1 in Data Catalog and Governance Software	#8 in Data Catalog and Governance Software
Best for	Databricks-centric enterprise data teams	AWS-centered teams sharing governed data
Pricing model	Paid	Paid
Starting price	Not checked yet	$0.40/GB/mo
Free plan	Not checked yet	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Community, Docs	Docs
Compliance	SOC 2, HIPAA, PCI DSS	SOC 2, ISO 27001, HIPAA
Integrations	4 integrations	8 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Databricks Unity Catalog 0/4 · Amazon DataZone 0/4
Data lineage	Not checked yet	Not checked yet
Metadata discovery	Not checked yet	Not checked yet
Governance workflows	Not checked yet	Not checked yet
Data quality features	Not checked yet	Not checked yet
Specs
Deployment options	Not checked yet	Not checked yet
Source connectors	Not checked yet	Not checked yet
Our review
Pros	Traces lineage across tables, columns, jobs, notebooks, pipelines and dashboards Combines discovery, access controls, classification and quality monitoring Supports sharing and manually registered external assets	Supports governed subscription workflows and fine-grained access controls Captures AWS Glue and Redshift lineage, including column-level views Projects and environments support collaboration around data assets
Cons	Column-level lineage has documented coverage limitations Unity Catalog is included only with Databricks Premium and Enterprise tiers Compute and storage usage charges apply	Integrations and lineage capture are more AWS-centered than broader catalogs Usage-based charges span requests, storage, compute, and AI tokens Cloud deployment only; support channels listed are documentation
Our verdict	Databricks Unity Catalog provides centralized governance for data and AI assets, with discovery, access controls, auditing, classification, quality monitoring, sharing and automated lineage. It is aimed at mid-market and enterprise teams,… Read the review →	Amazon DataZone is a fully managed, cloud-based data management service for organizations that need to catalog, discover, share, govern, and analyze data across AWS, on-premises, and third-party sources. Its business catalog, collaboration… Read the review →

Strengths and trade-offs

• Databricks Unity Catalog — where it wins

  • Traces lineage across tables, columns, jobs, notebooks, pipelines and dashboards
  • Combines discovery, access controls, classification and quality monitoring
  • Supports sharing and manually registered external assets

  Where it doesn't

  • Column-level lineage has documented coverage limitations
  • Unity Catalog is included only with Databricks Premium and Enterprise tiers
  • Compute and storage usage charges apply

• Amazon DataZone — where it wins

  • Supports governed subscription workflows and fine-grained access controls
  • Captures AWS Glue and Redshift lineage, including column-level views
  • Projects and environments support collaboration around data assets

  Where it doesn't

  • Integrations and lineage capture are more AWS-centered than broader catalogs
  • Usage-based charges span requests, storage, compute, and AI tokens
  • Cloud deployment only; support channels listed are documentation

• Databricks Unity Catalog9.4/10 · Paid

  A broad governance layer for teams managing data and AI assets in Databricks.

  Visit DatabricksFull verdict →
• Amazon DataZone8.7/10 · Paid

  A cloud data catalog for governed discovery and sharing, with usage-based pricing.

  Try Amazon DataZoneFull verdict →