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

7.8

Reviews Sentiment

6.8

Number of Reviews

182

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (11th), 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) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAP Analytics Hub

Ranking in Data Integration

44th

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (30th)

Mindshare comparison

As of March 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.8%, down from 7.7% 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.

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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

"It allows the creation of identical tasks that can be applied across multiple tables, ranging from 100 to even 1,000 tables."

"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."

"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."

"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."

"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."

"The solution scales well."

"I like the number of options that are presented with Informatica, fuzzy matching, and your screen."

"The feature of auto-onboarding of the assets, enterprise assets via EDC is good."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."

"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."

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

"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."

"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."

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

Cons

"I think they should work really hard on UI."

"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."

"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."

"The vendor should have more training resources: online classes, free tutorial videos, etc."

"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."

"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."

"They could improve technical support because it is not good enough at the moment."

"Data integration should be improved."

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

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

"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."

Pricing and Cost Advice

"Informatica Axon is expensive."

"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 heard from customers that the product comes with a huge license cost."

"The product is very expensive"

"Informatica MDM's pricing is not cheap but comparable to other vendors."

"The platform has a premium cost. I rate the pricing as seven out of ten."

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."

"The solution is very expensive."

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

"The product is expensive."

"The pricing is reasonable."

"It is an expensive solution."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

10%

Government

Computer Software Company

16%

Energy/Utilities Company

11%

Financial Services Firm

Healthcare 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.

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

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SAP Analytics Cloud vs SAP Analytics Hub

Compared 55% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 45% of the time

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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