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Informatica LLC

Informatica Data Integration & Engineering 

Composite Score

7.9 /10

CX Score

8.2 /10

19 Reviews Write a Review

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What is Informatica Data Integration & Engineering ?

Informatica Data Integration and Engineering helps automate routine tasks with low-code/no-code tools, reducing the amount of time and resources required. It provides visibility into workloads and pipeline auto-tuning capabilities. IInformatica Data Integration and Engineering supports data fabric, data mesh and data lakehouse, among others.

Company Details

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Awards & Recognition

Informatica Data Integration & Engineering  won the following awards in the Data Preparation for Analytics category

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9 Top Rated Capabilities

6 Top Rated Features

Latest Award, 2025

Product Impact

2024

9 Top Rated Capabilities

12 Top Rated Features

2024

Strategy and Innovation
Product Impact

2023

6 Top Rated Capabilities

7 Top Rated Features

2023

Informatica Data Integration & Engineering  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 Integration & Engineering .

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.

91 Likeliness to Recommend

1
Since last award

100 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.

+94 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 Integration & Engineering ?

5% Negative

5% Neutral

90% Positive

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 81

Data Packaging

Data Mining

Data Labeling

Data Access

Data Cleansing

Record Deduplication

Data Integration

Data Modelling Tools

Metadata Management

Data Security

Data Pre-Processing

Vendor Capability Ratings

Average 86

Business Value Created

Vendor Support

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Implementation

Quality of Features

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Informatica Data Integration & Engineering  Reviews

Rajkumar Shaukhlal G.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2023

Fantastic product! Go for it.!!

Likeliness to Recommend

10 /10

What differentiates Informatica Data Integration & Engineering  from other similar products?

It gives a lot of features for the data catalogue to identify the needs for the business.

What is your favorite aspect of this product?

Data catalogue.

What do you dislike most about this product?

As of now nothing.

What recommendations would you give to someone considering this product?

Please use this Product since its best for the DATA ANALYTICS.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Reddi Bhaskar K.

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

Validated Review

Verified Reviewer

Submitted Feb 2023

Fantastic Product

Likeliness to Recommend

9 /10

What differentiates Informatica Data Integration & Engineering  from other similar products?

It's user friend software and easy to integrate with any source of the data

What is your favorite aspect of this product?

Connection and complex transformation

What do you dislike most about this product?

Nothing as of now

What recommendations would you give to someone considering this product?

Live updates display in dashboards

Pros

Reliable
Performance Enhancing
Trustworthy
Unique Features

Mohan K.

Role: Information Technology
Industry: Healthcare
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2023

Easy to use, but a bit pricey

Likeliness to Recommend

7 /10

What differentiates Informatica Data Integration & Engineering  from other similar products?

We have not evaluated any other products. So not sure how to answer this question.

What is your favorite aspect of this product?

We have not evaluated any other products. So not sure how to answer this question.

What do you dislike most about this product?

We have not evaluated any other products. So not sure how to answer this question.

What recommendations would you give to someone considering this product?

We have not evaluated any other products. So not sure how to answer this question.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

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Informatica Data Integration & Engineering

What is Informatica Data Integration & Engineering ?

Company Details

Need Assistance?

Awards & Recognition

Informatica Data Integration & Engineering Ratings

91 Likeliness to Recommend

1 Since last award

100 Plan to Renew

81 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love Informatica Data Integration & Engineering ?

Pros

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

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Mining Explorative automated analysis of data to discover patterns and trends

Data Labeling Ability to annotate/ label data to create a training data set.

Data Access Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

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

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.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

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

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.

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.

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.

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 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.

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

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 Integration & Engineering Reviews

Rajkumar Shaukhlal G.

Fantastic product! Go for it.!!

Likeliness to Recommend

Pros

Reddi Bhaskar K.

Fantastic Product

Likeliness to Recommend

Pros

Mohan K.

Easy to use, but a bit pricey

Likeliness to Recommend

Pros

Most Popular Informatica Data Integration & Engineering Comparisons

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Ataccama ONE Platform

Informatica Data Integration & Engineering 

What is Informatica Data Integration & Engineering ?

Informatica Data Integration & Engineering  Ratings

1
Since last award

1
Since last award

How much do users love Informatica Data Integration & Engineering ?

Feature Ratings

Data Packaging

Data Mining

Data Labeling

Data Access

Data Cleansing

Record Deduplication

Data Integration

Data Modelling Tools

Metadata Management

Data Security

Data Pre-Processing

Vendor Capability Ratings

Business Value Created

Vendor Support

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of Implementation

Quality of Features

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Informatica Data Integration & Engineering  Reviews

Most Popular Informatica Data Integration & Engineering  Comparisons