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Informatica Intelligent Data Management Cloud (IDMC) vs SAP Analytics Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

Review summaries and opinions

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

Categories and Ranking

Informatica Intelligent Dat...
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
SAP Analytics Hub
Ranking in Data Integration
45th
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (29th)
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.5%, down from 5.3% compared to the previous year. The mindshare of SAP Analytics Hub is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)3.5%
SAP Analytics Hub0.6%
Other95.9%
Data Integration
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
Nitesh Agrawal - PeerSpot reviewer
Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.
Integration and security have improved, but search functionality and clarity of future direction need enhancement
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

Quotes from Members

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

Pros

"The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"I am impressed by the solution's interface."
"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."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"The solution has the best feature for parameterization."
"The dictionary, the search, and the ratings are without a doubt the most beneficial components of this solution."
"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"This product provides good reports using a single pane of glass."
 

Cons

"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The product interface could be improved to be more intuitive."
"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."
"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"The only thing that I can imagine that might be improved is how the available transactions verify addresses used. These transactions have a valid end date and must be used within the agreed timeframe."
"Some capabilities from the cloud version are not included in the on-premises version."
"I would like to have the solution in one product and technical support needs to be better."
"Error reporting and debugging need improvement."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"The interface can be simplified because it is not a user-friendly experience."
"The technical support for Analytics Hub is limited and could be improved."
"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."
"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."
"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."
"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
 

Pricing and Cost Advice

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"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."
"Its pricing model can be improved."
"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."
"It's a costly solution"
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"The product is expensive."
"The pricing is reasonable."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
Manufacturing Company
15%
Transportation Company
7%
Retailer
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
 

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 ...
What is your experience regarding pricing and costs for SAP Analytics Hub?
The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.
What needs improvement with SAP Analytics Hub?
The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data l...
What advice do you have for others considering SAP Analytics Hub?
When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics ...
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
STIB-MIVB
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. SAP Analytics Hub and other solutions. Updated: February 2026.
881,515 professionals have used our research since 2012.