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

Informatica and SAP are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 7.8, while SAP is ranked #43 with an average rating of 7.3. Informatica holds a 5.0% mindshare in DI, compared to SAP’s 0.1% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

Informatica Intelligent Dat...

Read 182 Informatica Intelligent Data Management Cloud (IDMC) reviews

11,930 Views
8,733 Comparison Views

93% willing to recommend

SAP Analytics Hub

Read 7 SAP Analytics Hub reviews

122 Views
95 Comparison Views

66% willing to recommend

Informatica Intelligent Dat...

SAP Analytics Hub

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Executive SummaryUpdated on Dec 19, 2024

Informatica Intelligent Data Management Cloud (IDMC) and SAP Analytics Hub are both prominent in the data management and analytics sector. Informatica IDMC is preferred for its robust integration capabilities, while SAP Analytics Hub is noted for its comprehensive analytics features.

Features: Informatica IDMC offers versatile data integration and management functionalities, supporting large-scale data handling with efficiency. Key features include seamless data synchronization, flexible data replication, and intuitive data lineage tracking. SAP Analytics Hub, on the other hand, provides an array of analytic tools for in-depth data insights, strong integration with other SAP products, and robust data consistency mechanisms. It also offers an easy-to-navigate user interface and built-in data modeling flexibility.

Room for Improvement: Although Informatica IDMC excels in data integration, improvements could be made in enhancing user training resources, expanding pre-built integrations, and improving its user interface for less technical users. For SAP Analytics Hub, significant focus areas include streamlining setup processes, enhancing compatibility with non-SAP systems, and improving batch processing capabilities for even greater efficiency.

Ease of Deployment and Customer Service: Informatica IDMC is lauded for its straightforward deployment and responsive customer service, which enhances the overall user experience. SAP Analytics Hub requires a more complex initial setup; however, it compensates with extensive support options that effectively assist with deployment issues.

Pricing and ROI: Informatica IDMC tends to have a lower entry cost, making it a more cost-effective choice with a quicker return on investment due to its efficient data handling. Conversely, SAP Analytics Hub necessitates a higher initial expense but justifies it with enriched features that promise potentially higher long-term ROI.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. SAP Analytics Hub Report (Updated: January 2025).

Buyer's Guide

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

January 2025

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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) (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) (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

43rd

Average Rating

7.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (29th)

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.0%, down from 7.8% 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.…

Read full review

Quotes from Members

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

Pros

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

"REST API: Excellent for scripting control and reporting mechanisms"

"The tool manually checks on applying business rules and helps to implement them."

"The most valuable features are the structure masking and platform masking."

"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."

"The support is very good."

"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."

"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"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."

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

"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."

"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."

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

Cons

"Certain applications are not being synced with the ION."

"I have received feedback from certain teams and there is a steep learning curve to use this solution."

"We would like to have accessibility to the repository."

"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."

"Metadata querying is right now not there in Informatica Cloud Data Integration."

"I would like to have the solution in one product and technical support needs to be better."

"Error reporting and debugging need improvement."

"The user interface of the product needs to be improved"

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

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

"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."

"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."

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

Pricing and Cost Advice

"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."

"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."

"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."

"The solution's pricing model is easy, but it is very expensive."

"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."

"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."

"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."

"It's a costly solution"

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

"The product is expensive."

"It is an expensive solution."

"The pricing is reasonable."

"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

17%

Energy/Utilities Company

11%

Healthcare Company

Financial Services Firm

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...

See all answers

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...

See all answers

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 ...

See all answers

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.

See all answers

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.

See all answers

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.

See all answers

Comparisons

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 7% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 7% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

SAP Master Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

SAP Analytics Cloud vs SAP Analytics Hub

Compared 64% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 36% of the time

More SAP Analytics Hub Competitors

Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

February 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

SAP Analytics Hub

January 2025

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

Buyer's Guide

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

January 2025

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