Informatica Enterprise Data Catalog vs Amazon DataZone

IEInformatica Enterprise Data Catalog9.0Visit Amazon DataZone8.7Visit

Higher score IE Informatica Enterprise Data Catalog #3 in Data Catalog and Governance Software 9.0/10 Pricing on request ✓ 3 of 4 features Visit Informatica

vs

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

• Informatica Enterprise Data Catalog fits best

  Enterprises cataloging cloud and on-premises data

• Amazon DataZone fits best

  AWS-centered teams sharing governed data

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Side by side

Feature	IEInformatica Enterprise Data Catalog 9.0/10 Visit ↗	Amazon DataZone 8.7/10 Visit ↗
At a glance
Editor score	9.0	8.7
Ranking	#3 in Data Catalog and Governance Software	#8 in Data Catalog and Governance Software
Best for	Enterprises cataloging cloud and on-premises data	AWS-centered teams sharing governed data
Pricing model	Paid	Paid
Starting price	Pricing on request	$0.40/GB/mo
Free plan	Not checked yet	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Integrations	9 integrations	8 integrations
Built for	Enterprise	Mid-market, Enterprise
Features Informatica Enterprise Data Catalog 3/4 · Amazon DataZone 0/4
Data lineage	✓ (best)	Not checked yet
Metadata discovery	✓ (best)	Not checked yet
Governance workflows	Not checked yet	Not checked yet
Data quality features	✓ (best)	Not checked yet
Specs
Deployment options	Both	Not checked yet
Source connectors	Not checked yet	Not checked yet
Our review
Pros	Scans metadata across cloud and on-premises sources Combines semantic search, facets, and column-level lineage Adds profiling, quality scorecards, and glossary context	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	Pricing requires a quote rather than showing a public amount Confirm current availability and packaging of this named product Its fit is centered on enterprise data landscapes	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	Informatica Enterprise Data Catalog is a metadata discovery and governance product for enterprise teams working across cloud and on-premises data. It scans and indexes metadata so users can search assets with semantic search and facets,… 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

• Informatica Enterprise Data Catalog — where it wins

  • Scans metadata across cloud and on-premises sources
  • Combines semantic search, facets, and column-level lineage
  • Adds profiling, quality scorecards, and glossary context

  Where it doesn't

  • Pricing requires a quote rather than showing a public amount
  • Confirm current availability and packaging of this named product
  • Its fit is centered on enterprise data landscapes

• 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

• IEInformatica Enterprise Data Catalog9.0/10 · Pricing on request

  A hybrid catalog for finding, profiling, and tracing enterprise data assets.

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

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

  Try Amazon DataZoneFull verdict →