Informatica IDQ leads the way with Data Quality automation
Updated July 15, 2022

Informatica IDQ leads the way with Data Quality automation

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Informatica Data Quality

Automation of technical and business data quality checks on data from over 10 different data sources across various sectors. Access to end-users on the data profiles makes the company proactive in resolving data quality issues which in turn improves the trust in data. Eventually promotes business decisions backed by data.
  • Data quality profile
  • Automation of data quality check
  • Exception management
  • Customizable template to capture metadata
  • The cloud offering does not have all the features of on-prem version
  • The DQ report has limit of only a few sample records it shows, it could show more
  • Ability to delete an older version of metadata from the business glossary
  • Metadata / business glossary
  • Data quality automation
  • Data profiling
  • Overall DQ efficiency
  • Easier to understand data before writing the ETL code for the developers
  • Increased business user participation
SAP Master data governance, Microsoft products, and Collibra

Do you think Informatica Data Quality delivers good value for the price?

Yes

Are you happy with Informatica Data Quality's feature set?

Yes

Did Informatica Data Quality live up to sales and marketing promises?

Yes

Did implementation of Informatica Data Quality go as expected?

Yes

Would you buy Informatica Data Quality again?

Yes

It can handle large volumes and a large variety of data. Also, can handle a large number of enterprise users well.

Informatica Data Quality Feature Ratings

Data source connectivity
8
Data profiling
9
Master data management (MDM) integration
7
Data element standardization
7
Match and merge
7
Address verification
7

Evaluating Informatica Data Quality and Competitors

  • Product Features
  • Product Usability
  • Product Reputation
We would keep is consistent with our process.

Using Informatica Data Quality

Easy to use not only for developers but also business users
ProsCons
Like to use
Relatively simple
Easy to use
Technical support not required
Well integrated
Consistent
Quick to learn
Convenient
Feel confident using
Familiar
None
  • Data profiling
  • Building data quality rules
  • Data quality reporting
  • Version control of metadata / business glossary

Informatica Data Quality Reliability

Scalability works as expected and it is truly an enterprise system.
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server.
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.