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Informatica Intelligent Data Management Cloud (IDMC) vs SAP Hybris PCM comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), 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), Metadata Management (1st), Test Data Management Services (4th), Product Information Management (PIM) (1st), Data Observability (2nd)
SAP Hybris PCM
Average Rating
8.0
Number of Reviews
3
Ranking in other categories
Master Data Management (MDM) Software (13th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 16.3%, up 13.7% compared to last year.
SAP Hybris PCM, on the other hand, focuses on Master Data Management (MDM) Software, holds 2.2% mindshare, down 3.1% since last year.
Data Management Platforms (DMP)
Master Data Management (MDM) Software
 

Q&A Highlights

Dec 28, 2015
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
Mohamed Messaoud - PeerSpot reviewer
It has a good architecture and it's easy to maintain
We work with various clients and use Hybris for selling different kinds of products, including merchandise, electronics, ticket reservations, electronics, and food Hybris is stable and has good architecture. It's easy to maintain.  They can change their backend because it's a little hard to work…

Quotes from Members

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

Pros

"It has become an easy way to exchange information through any cloud application."
"The product is scalable and excellent for enterprise-level organizations."
"It's good for tool management, maintaining the golden record of customer status."
"The solution has multiple valuable features for metadata collection"
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"The most valuable features are the structure masking and platform masking."
"The data quality component is very good."
"It provides all the typical MDM capabilities like deduplication and machine survivorship."
"Hybris is stable and has good architecture. It's easy to maintain."
 

Cons

"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"There is room for improvement in the support. The response time could be faster."
"I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"There could be a lot more application integration."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"They can change their backend because it's a little hard to work with. They could streamline it with new technology."
 

Pricing and Cost Advice

"The price is neither too high nor too low."
"We have licenses, and we are provided with certain particular services in the solution."
"The product is highly-priced."
"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"It's a very expensive solution"
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"The price of Informatica Cloud Data Integration could be reduced."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
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Answers from the Community

Dec 28, 2015
Dec 28, 2015
I have participate in two customer integration projects for financial sector. First was connected with custom MDM, second was Informatica MDM implementation. If you plan build own MDM solution you have consider: - integration with current architecture (bulk loading via MDM, real-time integration via ESB) - use data quality tool for information matching (ex QualityStage or IDQ) - data steward in...
2 out of 4 answers
it_user150675 - PeerSpot reviewer
Jan 8, 2015
I was part of evaluating several vendors for MDM program at my company and after technically evaluating each of them, Informatica was the choice. It doesn't make sense to build one as the tools available in the market are sufficient to satisfy the needs of MDM program. please let me know if you need help with vendor evaluation, RFP, implementation strategy etc..
Ariel Lindenfeld - PeerSpot reviewer
Jan 8, 2015
@nitesh- Do you have a vendor evaluation matrix you can share with the community?
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
6%
Manufacturing Company
18%
Retailer
14%
Computer Software Company
13%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
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Also Known As

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
SAP Hybris Product Content Management
 

Learn More

 

Overview

 

Sample Customers

The Travel Company, Carbonite
NHS 24, Wholesale Sports Outdoor Outfitters, Nu Skin Enterprises Inc., FC Bayern Munchen AG, Tumi, The Kellogg Company
Find out what your peers are saying about Palantir, Informatica, Oracle and others in Data Management Platforms (DMP). Updated: November 2024.
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