Informatica LLC

Informatica Data Integration & Engineering 

7.9 /10

15 Reviews Write a Review

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What is Informatica Data Integration & Engineering ?

Ingest, integrate and cleanse your data with a single data engineering solution optimized for FinOps.

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

Latest Award, 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 .

86 Likeliness to Recommend

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+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 ?

8% Negative

7% Neutral

85% Positive

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 81

Data Packaging

Data Labeling

Data Integration

Data Modelling Tools

Metadata Management

Data Mining

Record Deduplication

Data Cleansing

Data Access

Data Pre-Processing

Intelligent Alerts and Notifications

Vendor Capability Ratings

Average 84

Vendor Support

Ease of Implementation

Product Strategy and Rate of Improvement

Quality of Features

Business Value Created

Ease of Data Integration

Availability and Quality of Training

Breadth of Features

Usability and Intuitiveness

Ease of IT Administration

Ease of Customization

Informatica Data Integration & Engineering  Reviews

Prudvi R.

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

Validated Review

Verified Reviewer

Submitted Nov 2021

Easy to use, but a bit pricey.

Likeliness to Recommend

8 /10

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

Informatica Data Preparation has tightly integrated with its Data Integration and Metadata management suite. We can customize the scorecards and serve the business users accordingly.

What is your favorite aspect of this product?

Data lineage,Data profiling

What do you dislike most about this product?

Features are good but it provides less customization with other data products or programming languages to automate.

What recommendations would you give to someone considering this product?

Compare with other open source products , assess the business needs and cost before considering Informatica as a product.

Pros

Trustworthy
Efficient Service
Effective Service
Caring

Syed J.

Role: Consultant
Industry: Banking
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Nov 2021

Amazing product, underated and undervalued!

Likeliness to Recommend

9 /10

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

Informatica has very intuitive user interface and very well built with a lot of data connectors. I think the inbuilt pallet is unique and the fact that you can connect data to a lot of sources immediately is amazing.

What is your favorite aspect of this product?

User interface, connectors to all major applications and inbuilt modules and functionality to transform data

What do you dislike most about this product?

Documentation is poor, support and forums and not well organised at all.

What recommendations would you give to someone considering this product?

It is an amazing product and does the job. The skill level to learn the product is also very minimal. I have used operations teams to help out on the project.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Cons

Less Caring
Less Efficient Service
Wastes Time

Cara W.

Role: Industry Specific Role
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2021

I love this platform, it is very functional

Likeliness to Recommend

10 /10

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

Informatica Enterprise Data Preparation may have everything you need, in terms of all its features we do not think it deserves to make changes, its capabilities have shown that it is powerful software and this was just what our company needed.

What is your favorite aspect of this product?

We were only looking for a service to perform data processing by tracking and analyzing our data. I think this is just what we were looking for and we don't want to stop using this platform.

What do you dislike most about this product?

Help make good decisions. Advanced automation functions for machine learning, this platform is highly scalable and with nice features. We have no complaints about this tool.

What recommendations would you give to someone considering this product?

Everyone should have a platform for such good quality data for the company. It is essential for us to have Informatica Enterprise Data Preparation as the main tool to have a more reliable management of our data.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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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

86 Likeliness to Recommend

100 Plan to Renew

86 Satisfaction of Cost Relative to Value

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 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 Mining Explorative automated analysis of data to discover patterns and trends

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

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

Intelligent Alerts and Notifications Ability to create, manage, send and receive notifications, enhancing efficiency and productivity.

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.

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.

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

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.

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

Prudvi R.

Easy to use, but a bit pricey.

Likeliness to Recommend

Pros

Syed J.

Amazing product, underated and undervalued!

Likeliness to Recommend

Pros

Cons

Cara W.

I love this platform, it is very functional

Likeliness to Recommend

Pros

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Informatica Data Integration & Engineering 

What is Informatica Data Integration & Engineering ?

Informatica Data Integration & Engineering  Ratings

How much do users love Informatica Data Integration & Engineering ?

Feature Ratings

Data Packaging

Data Labeling

Data Integration

Data Modelling Tools

Metadata Management

Data Mining

Record Deduplication

Data Cleansing

Data Access

Data Pre-Processing

Intelligent Alerts and Notifications

Vendor Capability Ratings

Vendor Support

Ease of Implementation

Product Strategy and Rate of Improvement

Quality of Features

Business Value Created

Ease of Data Integration

Availability and Quality of Training

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