Informatica Data Integration & Engineering
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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Real user data aggregated to summarize the product performance and customer experience.
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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
2
Since last award
100 Plan to Renew
83 Satisfaction of Cost Relative to Value
3
Since last award
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.
+92 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 ?
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Packaging
Data Labeling
Data Mining
Data Modelling Tools
Data Cleansing
Record Deduplication
Data Integration
Data Access
Metadata Management
Data Security
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
Ease of Data Integration
Breadth of Features
Usability and Intuitiveness
Ease of IT Administration
Ease of Customization
Informatica Data Integration & Engineering Reviews
Ayush S.
- Role: Consultant
- Industry: Healthcare
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
"Powerful Data Integration with Great Scalability
Likeliness to Recommend
What differentiates Informatica Data Integration & Engineering from other similar products?
Informatica Data Integration & Engineering offers advanced data integration, scalability, AI-powered automation, and cloud-native capabilities, providing seamless data management across hybrid, multi-cloud environments.
What is your favorite aspect of this product?
My favorite aspect of Informatica Data Integration & Engineering is its AI-powered automation, which significantly enhances data integration efficiency while ensuring scalability across complex, multi-cloud environments.
What do you dislike most about this product?
The complexity of setting up and configuring Informatica Data Integration & Engineering can be challenging for new users, requiring significant time and expertise to fully optimize.
What recommendations would you give to someone considering this product?
I recommend investing time in thorough training for Informatica Data Integration & Engineering, leveraging its AI-powered automation and scalability, and ensuring alignment with your cloud infrastructure for seamless integration.
Pros
- Helps Innovate
- Unique Features
- Effective Service
- Respectful
Please tell us why you think this review should be flagged.
Nikhil K.
- Role: Industry Specific Role
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2023
Great tool to cleanse large datasets
Likeliness to Recommend
What differentiates Informatica Data Integration & Engineering from other similar products?
The best about Informatica Data Prep is that they explore, combine, clean, enrich and transform raw data into curated datasets and how easy it is to transform multiple datasets into one, easy to read format.
What is your favorite aspect of this product?
My favorite aspect about this product is that it supports a wide variety of connectivity options, also the ability to create a matrix, column, field, calculated formulae, that we can use in the entire Micro-strategy without any fuss is another thing while like best about it.
What do you dislike most about this product?
I've used the tool in past, to help companies discover their datasets without guessing, there is nothing which I dislike about this product only the cloud adoption is slow which can be improved in future, rest everything is excellent.
What recommendations would you give to someone considering this product?
Any organization who are struggling with problem of how to manage multiple datasets simultaneously then they can definitely give a try to Informatica Data Prep, it's amazing.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Rajkumar Shaukhlal G.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Mar 2023
Fantastic product! Go for it.!!
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
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