TrustRadius

DQO.ai vs. IBM InfoSphere QualityStage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DQO.ai
Score 0.0 out of 10
N/A
DQO.ai is a DataOps data observability tool with customizable data quality checks and data quality dashboards. According to the vendor, data observability is a way to define data quality rules to monitor ingestion tables. DQO users can detect schema changes, data format changes, missing data or inconsistent delays in the data delivery.
$5,998
per year Monitor up to 5 databases
IBM InfoSphere QualityStage
Score 9.5 out of 10
N/A
IBM InfoSphere QualityStage is a data quality offering from IBM.N/A
Pricing
DQO.aiIBM InfoSphere QualityStage
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DQO.aiIBM InfoSphere QualityStage
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
DQO.aiIBM InfoSphere QualityStage
Features
DQO.aiIBM InfoSphere QualityStage
Data Quality
Comparison of Data Quality features of Product A and Product B
DQO.ai
-
Ratings
IBM InfoSphere QualityStage
8.1
2 Ratings
4% below category average
Data source connectivity00 Ratings9.02 Ratings
Data profiling00 Ratings7.42 Ratings
Master data management (MDM) integration00 Ratings8.02 Ratings
Data element standardization00 Ratings8.02 Ratings
Match and merge00 Ratings7.32 Ratings
Address verification00 Ratings9.02 Ratings
Best Alternatives
DQO.aiIBM InfoSphere QualityStage
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Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
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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
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Score 8.0 out of 10
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User Ratings
DQO.aiIBM InfoSphere QualityStage
Likelihood to Recommend
-
(0 ratings)
9.0
(2 ratings)
User Testimonials
DQO.aiIBM InfoSphere QualityStage
Likelihood to Recommend
DQO.ai
No answers on this topic
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.
Gonzalo Angeleri | TrustRadius Reviewer
Gonzalo Angeleri
Regional Product & Solution Architect Manager
Read full review
Pros
DQO.ai
No answers on this topic
IBM
  • Create rules
  • Standardization and normalization of data
  • Integration with DataStage
Verified User
Anonymous
Read full review
Cons
DQO.ai
No answers on this topic
IBM
  • Should include all the data profiling functionality
  • Better features to tune matching capability
  • Include AI to automatically recommend actions to improve processes
Gonzalo Angeleri | TrustRadius Reviewer
Gonzalo Angeleri
Regional Product & Solution Architect Manager
Read full review
Alternatives Considered
DQO.ai
No answers on this topic
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
Verified User
Anonymous
Read full review
Return on Investment
DQO.ai
No answers on this topic
IBM
  • Improving Data Quality
  • Reducing costs due to better Data Quality
  • Single view of customer / product
  • Better data governance
Gonzalo Angeleri | TrustRadius Reviewer
Gonzalo Angeleri
Regional Product & Solution Architect Manager
Read full review
ScreenShots