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.
87 Likeliness to Recommend
1
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
Data Integration
Record Deduplication
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
Cara W.
- Role: Industry Specific Role
- Industry: Other
- Involvement: End User of Application
Submitted Jun 2021
I love this platform, it is very functional
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
Hilary S.
- Role: Industry Specific Role
- Industry: Other
- Involvement: End User of Application
Submitted Feb 2021
Excellent for preparing data through automation.
Likeliness to Recommend
What differentiates Informatica Data Integration & Engineering from other similar products?
Among the first options that we had planned was to implement this platform and we were not wrong in choosing its services, we can handle the data faster and with the conviction that we can make the right decisions thanks to it.
What is your favorite aspect of this product?
It allows a considerable amount of data and without having poor performance later. It is very productive for our company and users agree with its good performance and capabilities. Easy to implement.
What do you dislike most about this product?
I do not think we can have anything negative about this platform, from its ease of implementation to the good results it gives at the end of the day are fantastic, it is a complete platform in services.
What recommendations would you give to someone considering this product?
We can be sure that with a tool of this type, it finds errors automatically and in a very short time. It is simply a product to recommend, it is flexible and robust to obtain good results.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Please tell us why you think this review should be flagged.
Vishanth D.
- Role: Information Technology
- Industry: Manufacturing
- Involvement: IT Leader or Manager
Submitted Dec 2020
Amazing product which gives you the more value
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
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