What this guide helps you evaluate
enterprise architecture, data and AI platform teams evaluating strategic software where governance, integration, adoption and lifecycle economics matter more than headline license price. This comparison checklist helps organize a decision about data catalog platform.
This page is designed to help you compare the moving parts, organize due diligence and ask better questions before you commit money, sign a contract or change an operating process.
Define the business outcome, decision owner, expected term and the evidence needed to validate metadata harvesting and discovery.
Normalize metadata harvesting and discovery, lineage governance and stewardship and connector coverage and licensing before comparing proposals or internal options.
Keep assumptions separate from verified facts and record the source, date and owner for material requirements.
What to compare first
- metadata harvesting and discovery
- lineage governance and stewardship
- connector coverage and licensing
- workload and user fit
- governance and operating ownership
- integration, implementation and lifecycle cost
Step-by-step process
- 01
Create one comparison column per shortlisted option and one row per mandatory requirement.
- 02
Record verified evidence for metadata harvesting and discovery, lineage governance and stewardship, connector coverage and licensing and mark missing information instead of assuming equivalence.
- 03
Normalize one-time, recurring, usage-based and internal costs to the same time horizon.
- 04
Record contractual, security, implementation and operating exceptions with owners.
- 05
Reconcile the final matrix with finance, operations and any required professional reviewer.
Common mistakes and risk checks
- buying broad capability without accountable use cases
- underestimating integration and stewardship work
- creating lock-in without export, migration or exit planning
- Treating a comparison checklist as a substitute for signed agreements, current official rules or qualified professional review.
Documents and evidence to collect
- current application and data architecture
- use-case and user inventory
- security and governance requirements
- vendor proposal and proof-of-concept plan
Questions to ask before approval
- How is metadata harvesting and discovery defined, measured and evidenced?
- What changes if lineage governance and stewardship is higher or lower than the base case?
- Which fees, exclusions, implementation tasks or operating duties sit outside connector coverage and licensing?