IBM InfoSphere QualityStage vs. MatchX

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere QualityStage
Score 9.5 out of 10
N/A
IBM InfoSphere QualityStage is a data quality offering from IBM.N/A
MatchX
Score 10.0 out of 10
N/A
MatchX is a data quality and matching platform that cleans, connects, and governs data without manual intervention. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents. This produces clean, connected, and trusted data ready for AI, analytics, automation, and everyday business decisions. Problem It Solves Inaccurate,…N/A
Pricing
IBM InfoSphere QualityStageMatchX
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere QualityStageMatchX
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM InfoSphere QualityStageMatchX
Features
IBM InfoSphere QualityStageMatchX
Data Quality
Comparison of Data Quality features of Product A and Product B
IBM InfoSphere QualityStage
8.1
2 Ratings
4% below category average
MatchX
10.0
1 Ratings
17% above category average
Data source connectivity9.02 Ratings10.01 Ratings
Data profiling7.42 Ratings10.01 Ratings
Master data management (MDM) integration8.02 Ratings10.01 Ratings
Data element standardization8.02 Ratings10.01 Ratings
Match and merge7.32 Ratings10.01 Ratings
Address verification9.02 Ratings10.01 Ratings
Best Alternatives
IBM InfoSphere QualityStageMatchX
Small Businesses
HubSpot Data Hub
HubSpot Data Hub
Score 8.1 out of 10
HubSpot Data Hub
HubSpot Data Hub
Score 8.1 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM InfoSphere QualityStageMatchX
Likelihood to Recommend
9.0
(2 ratings)
10.0
(1 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
IBM InfoSphere QualityStageMatchX
Likelihood to Recommend
IBM
Standardization of data using rules for names and addresses. Possibility of building our own rules to standardize other data. Contruction of complex rules of matching and consolidation of data. Native integration with ETL tools and data governance.
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VE3 Global
Its suitable for enterprises and business looking for a Data Matching tool.
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Pros
IBM
  • Create rules
  • Standardization and normalization of data
  • Integration with DataStage
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VE3 Global
  • User-Friendly and Data Management
  • No technical expertise, making it accessible for a broader user base.
  • Great for Data Mining and Data Matching
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Cons
IBM
  • Should include all the data profiling functionality
  • Better features to tune matching capability
  • Include AI to automatically recommend actions to improve processes
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VE3 Global
  • The interface could offer even more customization.
  • Some users may prefer more frequent feature updates or design refreshes.
  • Advanced users might want expanded export or reporting options.
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Usability
IBM
No answers on this topic
VE3 Global
We've never felt the need to migrate to something else.
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Alternatives Considered
IBM
It is a robust tool. It can be integrated with several DB. It works very well with DS. You can create your rules, and define the percentage of standardization or normalization
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VE3 Global
No answers on this topic
Return on Investment
IBM
  • Improving Data Quality
  • Reducing costs due to better Data Quality
  • Single view of customer / product
  • Better data governance
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VE3 Global
  • MatchX has enabled a low-maintenance revenue from data mining and token staking.
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ScreenShots

MatchX Screenshots

Screenshot of MatchX dashboardScreenshot of data quality standardsScreenshot of data ingestion from sources, and where users can select their industry.Screenshot of workflow execution in MatchXScreenshot of where to select type of data matching. Fuzzy, Exact, Probabilistic, Deterministic matching type.Screenshot of data profiling