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 #4 with an average rating of 7.8, while SAP is ranked #51 with an average rating of 5.0. Informatica holds a 3.6% mindshare in DI, compared to SAP’s 0.3% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 71% of SAP users who would recommend it.

Informatica Intelligent Dat...

Read 186 Informatica Intelligent Data Management Cloud (IDMC) reviews

21,895 Views
6,569 Comparison Views

93% willing to recommend

SAP Analytics Hub

Read 8 SAP Analytics Hub reviews

790 Views
213 Comparison Views

71% 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: September 2025).

Buyer's Guide

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

September 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

4th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

186

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (6th), 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 (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

SAP Analytics Hub

Ranking in Data Integration

51st

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (31st)

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 6.3% compared to the previous year. The mindshare of SAP Analytics Hub is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
SAP Analytics Hub	0.3%
Other	96.1%

Data Integration

Featured Reviews

SaurabhGaonshindhe

Principle Cloud Engineer at Sector 125

Modular structure and AI features stream new reporting processes

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

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Nitesh Agrawal

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.

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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

"The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."

"The advanced features like task flow and conditional integration are particularly useful."

"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."

"It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities."

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

"Informatica is good for integrating data and cloud applications. We have connectors for integrating cloud applications like Salesforce. You can quickly integrate anything with an exposed API or a REST API. The industry is increasingly shifting to the cloud, so we need more products that can connect to cloud-based applications. The integration is seamless and works in real time. It's also secure because you don't need to expose databases or tables."

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

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

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."

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

"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."

"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."

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

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

Cons

"The on-prem version's functionalities may not be available on the cloud version."

"A general improvement in icons and the virtual interface would be good."

"For products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point."

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."

"I have encountered some issues using the substitution, which is one of the techniques of data masking."

"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."

"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

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

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

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

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

"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."

Pricing and Cost Advice

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

"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."

"The licensing price of the product depends on the organization's requirements."

"Informatica is very expensive."

"The price of Informatica Cloud Data Integration could be reduced."

"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 expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."

"Informatica Axon is expensive."

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

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

"The pricing is reasonable."

"The product is expensive."

"It is an expensive solution."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Manufacturing Company

10%

Insurance Company

Energy/Utilities Company

10%

Manufacturing Company

10%

Financial Services Firm

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	3

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 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

What advice do you have for others considering SAP Analytics Hub?

I advise others to be aware of the total ownership cost of the product for the next three to five years. I rate it a seven out of ten.

See all answers

Comparisons

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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

Compared 4% of the time

Collibra Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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

Compared 3% of the time

TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

SAP Analytics Cloud vs SAP Analytics Hub

Compared 40% of the time

Informatica PowerCenter vs SAP Analytics Hub

Compared 33% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 28% of the time

More SAP Analytics Hub Competitors

Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

September 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

SAP Analytics Hub

August 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) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.

IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.

What are the key features of IDMC?

Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
Metadata Management: Comprehensive metadata management supports data governance.
AI Capabilities: AI features enhance automation and decision-making processes.
Data Marketplace: Facilitates easy access to data across the organization.
Performance Scalability: Scales performance efficiently to meet growing data demands.

What benefits should be expected from IDMC?

Enhanced Data Management: Offers robust tools for data governance and quality.
Improved Integration: Connects disparate systems seamlessly, reducing data silos.
Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
Data Compliance: Supports compliance with data privacy regulations.
Agility and Scalability: Adapts quickly to changing data environments.

IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.

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

September 2025

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