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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
6.8
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (6th), 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 17.5%, up 14.0% compared to last year.
SAP Hybris PCM, on the other hand, focuses on Master Data Management (MDM) Software, holds 2.2% mindshare, down 2.9% 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

"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."
"It gives you accountability to centralize your data and have it available to different applications."
"It is one of the best tools available for data integration."
"It is quite easy to use and flexible."
"I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems."
"The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."
"New tools are coming out that will enable you to achieve 90 percent of use cases with the out-of-the-box configuration, but I would like to keep Informatica tight here. Otherwise, you need a Java user edit course and other things to do multiple things that you cannot configure out of the box. They have to go through those use cases to do something if those can also be configured rather than coded."
"Hybris is stable and has good architecture. It's easy to maintain."
 

Cons

"The tools required to migrate existing mappings and server rules through cloud data quality are not available."
"I would also like to have profiling functionalities and quality transformations in the cloud."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"Informatica MDM has a complex user interface, which could be improved."
"Metadata querying is right now not there in Informatica Cloud Data Integration."
"Database access is highly restricted particularly if you're using the cloud version."
"There is room for improvement in the Data Marketplace aspect."
"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."
"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

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Informatica MDM's price could be lower."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"Informatica MDM's pricetag should come down. They have to cut some costs."
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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
12%
Manufacturing Company
10%
Government
6%
Manufacturing Company
18%
Retailer
15%
Computer Software Company
12%
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: December 2024.
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