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Informatica LLC

Informatica Data Quality & Observability

Composite Score

8.1 /10

CX Score

8.5 /10

50 Reviews Write a Review

What is Informatica Data Quality & Observability?

Informatica Data Quality & Observability empowers your company to take a holistic approach to managing data quality across your entire organization. With Informatica Data Quality, you’ll be able to ensure the success of your data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.

Company Details

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Awards & Recognition

Informatica Data Quality & Observability won the following awards in the Data Quality category

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2 Top Rated Capabilities

1 Top Rated Features

Latest Award, 2026

Strategy and Innovation
Product Impact
Contract Negotiation
Conflict Resolution

2025

1 Top Rated Capabilities

1 Top Rated Features

2025

3 Top Rated Capabilities

1 Top Rated Features

2024

1 Top Rated Capabilities

1 Top Rated Features

2023

Strategy and Innovation
Contract Negotiation

2022

2022 Data Quadrant Champion

2022

6 Top Rated Capabilities

4 Top Rated Features

2022

Informatica Data Quality & Observability Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Informatica Data Quality & Observability.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

1
Since last award

99 Plan to Renew

81 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+95 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Informatica Data Quality & Observability?

10% Negative

5% Neutral

85% Positive

Pros

Security Protects
Unique Features
Acts with Integrity
Over Delivered

Feature Ratings

Average 80

Data Profiling

Data Matching

Data Cleansing

Record Management

Data Source Connectivity

Reporting Components

Data Enrichment

Data Monitoring and Administration

Geocoding

Dashboard

Record Deduplication

Vendor Capability Ratings

Average 81

Vendor Support

Ease of Implementation

Quality of Features

Ease of IT Administration

Ease of Data Integration

Breadth of Features

Business Value Created

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Informatica Data Quality & Observability Reviews

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Mar 2024

Enterprise product with one size fits all

Likeliness to Recommend

7 /10

What differentiates Informatica Data Quality & Observability from other similar products?

Advanced data quality rules engine and extensive connectivity and data profiling options have stood up for our banking customer in the middle east, Ofcourse, there could be features which stand out for other domains, but so far the tool has proven to be extensively scalable and customizable by different rules and laws.

What is your favorite aspect of this product?

It has been highly scalable. The platform offers scalability options to accommodate growing data volumes and processing requirements, ensuring optimal performance and reliability in enterprise-scale deployments. It just made our lives easy.

What do you dislike most about this product?

I won't say I dislike it but with cloud as a preferred adoption method for a lot of customers, there is a lot of comparison between the on Prem vs cloud version of this tool.

What recommendations would you give to someone considering this product?

You can go for it if you have a scalable enterprise level data, a good-sized data, or an unstructured data which you would like to refine, define, qualify, and make qualitative for AI adoption.

Pros

Efficient Service
Respectful
Altruistic
Security Protects

Sharath G.

Role: Information Technology
Industry: Food and Beverage
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2024

Excellent product

Likeliness to Recommend

8 /10

What differentiates Informatica Data Quality & Observability from other similar products?

1. Very colorful UI and ease of use, 2. Provides excellent integration with other Informatica products. 3. Read the data from multiple data sources

What is your favorite aspect of this product?

Improves business intelligence and analytics and Provides a platform for high-quality data. Few pre-built data accelerators come in very handy..

What do you dislike most about this product?

Don't have anything to dislike at this moment but expensive and not designed for smaller organizations

What recommendations would you give to someone considering this product?

Very good product for data monitoring and management

Pros

Reliable
Enables Productivity
Trustworthy
Includes Product Enhancements

Most Popular Informatica Data Quality & Observability Comparisons

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How We Deliver

Events

Informatica Data Quality & Observability

What is Informatica Data Quality & Observability?

Company Details

Need Assistance?

Awards & Recognition

2022 Data Quadrant Champion

Informatica Data Quality & Observability Ratings

88 Likeliness to Recommend

1 Since last award

99 Plan to Renew

81 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+95 Net Emotional Footprint

How much do users love Informatica Data Quality & Observability?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Informatica Data Quality & Observability Reviews

Most popular ETL tool in big data technology

Likeliness to Recommend

Pros

Vibha K.

Enterprise product with one size fits all

Likeliness to Recommend

Pros

Sharath G.

Excellent product

Likeliness to Recommend

Pros

Most Popular Informatica Data Quality & Observability Comparisons

Talend Data Fabric

SAS Viya

Oracle Enterprise Data Quality

PiLog Data Quality and Governance Suite

Melissa Data Quality Suite

IBM InfoSphere QualityStage

Schedule Your Call

1
Since last award

1
Since last award

Feature Ratings

Data Profiling

Data Matching

Data Cleansing

Record Management

Data Source Connectivity

Reporting Components

Data Enrichment

Data Monitoring and Administration

Geocoding

Dashboard

Record Deduplication

Vendor Capability Ratings

Vendor Support

Ease of Implementation

Quality of Features

Ease of IT Administration

Ease of Data Integration

Breadth of Features

Business Value Created

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization