10+ Informatica Data Quality Alternatives and Competitors

Informatica Data Quality

9.5 User Rating
$1.3 B Revenue
4800+ No of Employees
1993 Founded
SaaS Industry
Data Quality Software Category
Amit Walia CEO
Overview

Informatica Data Quality is one of the leading providers of data quality solutions. The platform offers businesses across various operations comprehensive support in their growing data, allowing them to ensure data accuracy. With Informatica Data Quality, users can also enjoy robust features that streamline data quality processes, such as flexible deployment, exception management, data quality transformations, and much more. Founded in 1993, Informatica Data Quality emerge to provide tangible strategic value for intelligent quality recommendations and assessments. The platform was engineered to supply the best data quality insights, allowing its users to automate critical tasks and increase productivity and effectiveness. What also makes Informatica Data Quality the best data quality platform is it provides accurate and ready to use data, without dealing with complex data quality processes. Today, Informatica Data Quality is branded as the leading data quality software, making the app the primary platform for more than 9,500 active users.

Alternatives

Logo Name Sort Rating Sort CEO Pricing Sort Founded Sort Revenue Sort Employees Sort Location Sort Reviews Sort Customers Sort
Informatica Data Quality Informatica Data Quality 9.5 Amit Walia N/A 1993 $1.3 B
4,800+
California 1787+ Reviews
9.5K +
Microsoft Data Quality Services Microsoft Data Quality Services 9.4 Satya Nadella N/A 1989 N/A 1,564+
Colorado 1879+ Reviews
50K +
Melissa Data Quality Suite Melissa Data Quality Suite 9.3 Raymond Melissa N/A 1985 $29.1 M
250+
Santa Margarita
1578+ Reviews
10K +
Openprise Openprise 9.2 Ed King N/A 2013 $6.2 M
55+
San Francisco 1787+ Reviews
100M +
SAP Data Services SAP Data Services 9.1 Bernard Liautaud $22 1990 $27.5 B
500+
California 1578+ Reviews
50K +
Oracle Enterprise Data Quality Oracle Enterprise Data Quality 9 Safra Catz N/A 1999 $1 M
500+
‎Redwood City 1457+ Reviews
110K +
SAS Data Quality SAS Data Quality 8.9 James Goodnight N/A 1976 $3.3 B
13,939+
Cary
1787+ Reviews
83K +
RingLead RingLead 8.8 Chris Hickey $20 2003 $8 M
63+
Melville
1875+ Reviews
35.6K +
IBM Infosphere QualityStage IBM Infosphere QualityStage 8.7 Arvind Krishna $7800 1983 $79.1 B
200+
New York 1778+ Reviews
4.1K +
Talend Open Studio Talend Open Studio 8.6 Mike Tuchen N/A 2005 $1 M
1,200+
California 1880+ Reviews
4.3K +

Key Employees

ImageNameDesignationLinkedin
Christophe P. MeiliChristophe P. Meilihttps://www.linkedin.com/public-profile/in/christophemeili
Ben KennedyBen KennedyRegional Sales Directorhttps://www.linkedin.com/public-profile/in/benkennedy
Khoi HoangKhoi Hoanghttps://www.linkedin.com/public-profile/in/khoi-hoang-273a

Reviews

“ Informatica Data Quality - Know Your Customer ”

8/10 (overall) - Allan Light
Pros
  • IDQ has extreme flexibility in how you create rules to identify what is out of compliance.
  • No matter how complex your rules, it will likely handle it in an easy to program user interface.
Cons
  • It is not the cheapest solution, but at this time I believe it is the best solution.
  • Knowing your customers and accurately managing them justify getting the best product.

“ Ínformatica data quality ”

8/10 (overall) - Vinaya Kumar Reddy Thummala
Pros
  • It’s a great tool for profiling and score carding and cleansing bad data.
  • Matching, standardization, address doctor, exception record management.
Cons
  • Scorecard export functionality for bad records – and it only displays the first 100 records.
  • There are no filtering conditions on scorecarding

“ Informatica Data Quality review ”

9/10 (overall) - Gurcan Orhan
Pros
  • It performs quality Data Profiling operations.
  • Seamless integration with other Informatica products.
Cons
  • Could provide easier administration.
  • Needs easier installation steps.

Features

  • Access Control
  • Analytics
  • Accounting Intergration
  • Application Integration
  • Assessment Management
  • Assignment Management
  • Business Intelligence
  • Campaign Management
  • List Management
  • Marketing Automation
  • Sales Enablement
  • Sales Force Automation
  • Predictive Sales
  • Performance Management
  • Process Management

Images & Videos

Q & A

Q. What features can I enjoy with Informatica Data Quality?

Informatica Data Quality provides you the end-to-end solution for your growing data quality needs. Informatica’s data quality service scopes across your organization and data types, thanks to the application’s AI-driven automation. With Informatica Data Quality, you can access top-notch features, such as role-based capabilities, intelligent data quality, flexible deployment, rich set of data quality transformations, pre-build data accelerators, and so much more.

 

Q. What is Informatica's CLAIRE engine?

The CLAIRE engine is a data-driven intelligence platform designed to fuel Informatica’s data quality service. This powerful platform enables the app to provide intelligent assessments and recommendations, as well as data quality insights for task automation and data discovery. On top of that, this engine creates simplicity and ease for complex enterprise data management tasks.

Q. How much does Informatica's Cloud Data cost?

Informatica Cloud Data offers four pricing bundles that you can choose to have. You may pick to have the Professional bundle, which costs $1,000 per month, the Basic, which starts at $2,000 per month, and the Advanced bundle starting $4,500 per month. For Informatica Cloud Data Premium, choose to contact the app’s sales team for the actual price.

 

Q. Does Informatica offer integration with other third-party providers?

Yes! Informatica provides you its integration access, which enables you to simplify and ease up complex challenges through collaboration. When using Informatica, you have the option to integrate your processes to other services, such as Amazon Web Services, Google Cloud, Microsoft Azure, Salesforce, Tableau, and so much more.