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Informatica Intelligent Data Management Cloud (IDMC) vs data.world comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

data.world
Ranking in Metadata Management
12th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Ranking in Metadata Management
1st
Average Rating
7.8
Number of Reviews
180
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (3rd), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

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SA
Jun 26, 2024
Automated a lot of manual processes, improved visibility into data processes but user interface could be more intuitive
The most valuable features of Informatica Axon are the reports and statistics. It provides very good insights into pending tasks, completed tasks, and areas requiring follow-up or approval. There are various checkpoints. In one report, we can see the overall status of the system. Additionally, Informatica Axon has many out-of-the-box features when we want to configure stuff for workflows, surpassing those of other tools we evaluated, like Collibra. But Informatica is a very established tool that offers a lot of pre-configurations when we govern the workflows. So, these out-of-the-box features are much more robust, and reporting is much more robust compared to other tools. Data Lineage Feature: Data lineage is there. But not everyone is into it. We have a lot of legacy applications, and consolidation of the data into our master data management is also a parallel project going on. Right now, Informatica Axon has a fantastic lineage feature, but we do not fully use that capability in our team because there are a lot of prerequisites that we need to set before we can utilize the lineage. There are very small components where we can see some lineage. For example, if you have product dimensions or dimension-related attributes, we can see how the data lineage is going through. But for other activities, our data is distributed across different platforms and involves about 43 to 50 legacy systems. First, we are in the process of consolidating them into one hub and then do some cleanup. That would be the biggest feature for us to start with this data lineage. Right now, we don't use that capability extensively.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pricing and Cost Advice

Information not available
"The product is very expensive"
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"It's a very expensive solution"
"The pricing is high compared to other tools on the market."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"Its pricing model can be improved."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Government
9%
Computer Software Company
9%
Insurance Company
8%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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Also Known As

No data available
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

AP, Square Panda, Aceable
The Travel Company, Carbonite
Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management. Updated: September 2024.
801,394 professionals have used our research since 2012.