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Informatica LLC

Informatica Data Integration & Engineering 

Composite Score

7.5 /10

CX Score

7.8 /10

17 Reviews Write a Review

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

12 Top Rated Features

2024

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.

89 Likeliness to Recommend

3
Since last award

100 Plan to Renew

82 Satisfaction of Cost Relative to Value

4
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.

+93 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 ?

6% Negative

6% Neutral

88% Positive

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 80

Data Packaging

Data Labeling

Data Mining

Data Access

Record Deduplication

Data Modelling Tools

Data Cleansing

Data Security

Data Integration

Metadata Management

Data Pre-Processing

Vendor Capability Ratings

Average 85

Vendor Support

Business Value Created

Ease of Implementation

Product Strategy and Rate of Improvement

Quality of Features

Availability and Quality of Training

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Informatica Data Integration & Engineering  Reviews

Vishanth D.

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

Validated Review

Verified Reviewer

Submitted Dec 2020

Amazing product which gives you the more value

Likeliness to Recommend

10 /10

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

Use of web services to get data is the main use case for this tool,data quality features are also very easy to use

What is your favorite aspect of this product?

Visual tool with minimum prerequisite knowledge

What do you dislike most about this product?

Some functions requires additional cost

What recommendations would you give to someone considering this product?

Add more features and license bundle options...

Pros

Continually Improving Product
Reliable
Enables Productivity
Inspires Innovation

Cons

Vendor Friendly Policies

Latest Research

Informatica Data Integration & Engineering

What is Informatica Data Integration & Engineering ?

Company Details

Need Assistance?

Awards & Recognition

Informatica Data Integration & Engineering Ratings

89 Likeliness to Recommend

3 Since last award

100 Plan to Renew

82 Satisfaction of Cost Relative to Value

4 Since last award

Emotional Footprint Overview

+93 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 Labeling Ability to annotate/ label data to create a training data set.

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

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.

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

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

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

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

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 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

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.

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.

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.

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.

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.

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.

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.

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

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

Vishanth D.

Amazing product which gives you the more value

Likeliness to Recommend

Pros

Cons

Title

Informatica Data Integration & Engineering 

What is Informatica Data Integration & Engineering ?

Informatica Data Integration & Engineering  Ratings

3
Since last award

4
Since last award

How much do users love Informatica Data Integration & Engineering ?

Feature Ratings

Data Packaging

Data Labeling

Data Mining

Data Access

Record Deduplication

Data Modelling Tools

Data Cleansing

Data Security

Data Integration

Metadata Management

Data Pre-Processing

Vendor Capability Ratings

Vendor Support

Business Value Created

Ease of Implementation

Product Strategy and Rate of Improvement

Quality of Features

Availability and Quality of Training

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Informatica Data Integration & Engineering  Reviews