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

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

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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

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

183

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), 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), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAP Analytics Hub

Ranking in Data Integration

46th

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (29th)

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.4%, down from 7.2% compared to the previous year. The mindshare of SAP Analytics Hub is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

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.

Read full review

Hyunwook Kang

IT Director at Dfocus

Provides efficient data integration features, but the technical support services need improvement

We use the product for analytics across various business processes and sectors. It helps us analyze SAP ERP data The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity. The platform could easily integrate with other ERP data solutions.…

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Quotes from Members

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

Pros

"Informatica MDM has data quality, mastering the data's capability."

"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."

"We can see all our information on a single screen."

"Offers data lineage feature"

"The features for data quality, data cataloging, and UI are excellent."

"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."

"The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."

"We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"This product provides good reports using a single pane of glass."

"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."

"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."

"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."

"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."

Cons

"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."

"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."

"The scalability is tough."

"The error information provided is not informative, as compared to Power Center."

"The biggest challenge I see is the IDE's for the cloud and automization are different."

"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."

"The product isn't mature enough to provide suitable connectors to various data engines."

"It needs to be a little more intuitive but it’s really not bad."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"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 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."

"The technical support for Analytics Hub is limited and could be improved."

"The interface can be simplified because it is not a user-friendly experience."

"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."

Pricing and Cost Advice

"The price is neither too high nor too low."

"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."

"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."

"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."

"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."

"The product is very expensive"

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

"It is cost effective and an easily accessible tool."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

"The product is expensive."

"It is an expensive solution."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

"The pricing is reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Computer Software Company

19%

Energy/Utilities Company

10%

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 do you like most about SAP Analytics Hub?

Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually.

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 platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space.

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More Informatica Intelligent Data Management Cloud (IDMC) Competitors

SAP Analytics Cloud vs SAP Analytics Hub

Compared 41% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 39% of the time

Informatica PowerCenter vs SAP Analytics Hub

Compared 20% of the time

More SAP Analytics Hub Competitors

Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Informatica Intelligent Data Management Cloud (IDMC) report

SAP Analytics Hub

Download SAP Analytics Hub product report

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

No data available

Overview

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Informatica

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

SAP

Sample Customers

The Travel Company, Carbonite

STIB-MIVB

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