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Overview

Product Information on Informatica Data Quality and Observability

Updated 13th October 2025

What is Informatica Data Quality and Observability?

Informatica Data Quality and Observability is a software designed to help organizations assess, monitor, and manage the quality of their data across various sources and environments. The software provides capabilities for data profiling, cleansing, standardization, matching, and validation to ensure data accuracy and consistency. It enables users to define and enforce data quality rules and automate the detection of anomalies and issues within data sets. With features for data quality metrics, monitoring, and reporting, the software helps organizations identify and address data integrity challenges that can affect business processes and decision making. The observability features offer insights into data pipeline health, lineage, and reliability, supporting comprehensive governance and compliance requirements.

Informatica Data Quality and Observability Pricing

Informatica Data Quality and Observability software uses a subscription-based pricing model with costs typically determined by data volumes, capacity, or the number of users. The software is often offered through tiered plans that may include various features such as data profiling, monitoring, and quality management, with pricing subject to the scale and requirements of data processing and integration needs.

Overall experience with Informatica Data Quality and Observability

It Manager
10B - 30B USD, IT Services
FAVORABLE

“Great DQ & Observability with powerful AI”

4.0
Apr 1, 2026
Informatica DQ & Observability provides strong enterprise value with great AI (Claire) and great integration capability but requires governance maturity & adoption
Director of Data and Analytics
10B - 30B USD, Travel and Hospitality
CRITICAL

“Solid Data Quality and Monitoring Features Tempered by Complex Usability Challenges”

3.0
Aug 4, 2025
Overall the experience was satisfactory, but I think there are areas of usability and experience that can be improved.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Peer Discussions

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Logo of Informatica Data Quality and Observability

Informatica Data Quality and Observability

bySalesforce (Informatica)
in Augmented Data Quality Solutions
4.3

About Company

Company Description

Updated 6th December 2023

Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.

Company Details

Updated 26th February 2025
Company type
Public
Year Founded
1993
Head office location
Redwood City, United States
Number of employees
5001 - 10000
Annual Revenue
1B-3B USD
Website
https://www.informatica.com

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Reviewer Insights for: Informatica Data Quality and Observability
Deciding Factors: Informatica Data Quality and Observability Vs. Market Average
Performance of Informatica Data Quality and Observability Across Market Features

Informatica Data Quality and Observability Likes & Dislikes

Like

i) AI driven profiling ii) End to End observability iii) Improves operational transparency

Like

It offers solid data quality and useful monitoring features.

Like

Informatica is a unified platform for both data quality and observability, which provides a holistic view of our data's health. The AI powered engine, Claire, is a great feature as it automates data profiling and provides intelligent recommendations for data quality rules, which significantly reduces our effort. The ability to embed data quality checks directly into our data pipelines ensures that we catch and remediate issues proactively, rather than reacting to problems downstream.

Dislike

Pricing is a factor which drives away many mid-scale customers

Dislike

It is complex and have a steep learning curve and limited customization

Dislike

Costing is high - especially with the consumption based pricing model. The GUI can be complex and overwhelming.

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Informatica Data Quality and Observability Reviews and Ratings

Filter Reviews
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  • It Manager
    10B+ USD
    IT Services
    Review Source

    Great DQ & Observability with powerful AI

    4.0
    Apr 1, 2026
    Informatica DQ & Observability provides strong enterprise value with great AI (Claire) and great integration capability but requires governance maturity & adoption
  • Solutions Architect
    10B+ USD
    Real Estate
    Review Source

    Integrated Platform Automates Data Profiling Yet Complexity and Pricing Raise Concerns

    4.0
    Aug 6, 2025
    Robust cloud native platform that empowers teams to proactively manage data quality and ensure a trusted data foundation
  • Director of Data and Analytics
    10B+ USD
    Travel and Hospitality
    Review Source

    Solid Data Quality and Monitoring Features Tempered by Complex Usability Challenges

    3.0
    Aug 4, 2025
    Overall the experience was satisfactory, but I think there are areas of usability and experience that can be improved.
  • Director of Data and Analytics
    1B-10B USD
    Banking
    Review Source

    Observability Features Enhance Data Trust While Users Note Interface and Cost Concerns

    5.0
    Jun 25, 2025
    Comprehensive Data Quality Rules , Strong Observability Features, Cloud Native and Scalable , Intuitive Interface and Automation and Good Integration with Ecosystem
  • GROUP MANAGER, MDM AND DATA GOVERNANCE
    1B-10B USD
    Manufacturing
    Review Source

    Powerful MDM Capabilities with Room for UI and Performance Improvements

    4.0
    Jun 20, 2025
    Informatica MDM is a robust and reliable master data solution that excels in integration, governance and scalability. It offers great features for managing complex data environments and supports strong data quality capabilities. The user interface, however, could be more intuitive and performance can lag at times, especially with large datasets.
...
Showing Result 1-5 of 186

4.3

(185 Ratings)

Rating Distribution

5 Star
37%
4 Star
50%
3 Star
10%
2 Star
2%
1 Star
1%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.2

Integration & Deployment

4.2

Service & Support

4.3

Product Capabilities

4.3