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Informatica Enterprise Data Lake vs SAP Analytics Hub comparison

 

Comparison Buyer's Guide

Executive Summary

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 Enterprise Data...
Ranking in Data Integration
39th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SAP Analytics Hub
Ranking in Data Integration
51st
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (30th)
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Informatica Enterprise Data Lake is 0.4%, up from 0.2% 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
ProductMarket Share (%)
Informatica Enterprise Data Lake0.4%
SAP Analytics Hub0.3%
Other99.3%
Data Integration
 

Featured Reviews

SB
Have built an enterprise-level cloud data pipeline with reliable governance and integration
People use Informatica Enterprise Data Lake because we can create the whole journey from data migration projects from the legacy system to AWS and to the Lake architecture, covering the entire journey from the source to the landing zone, then to the curated zone, and finally consumed by both downstream and upstream applications. The main benefit of Informatica Enterprise Data Lake is that it allows you to use different types of data types, including blobs and storage; all types of data—structured, unstructured, and semi-structured—can exist in the Data Lake architecture, making it robust for retrieving data based on your filtration needs. Its value is actually governed by the client, who combined with our company and AWS, so we all work together to use the workspace and all these things for Informatica Enterprise Data Lake.
Nitesh Agrawal - PeerSpot reviewer
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 process of using the tool's scalability option is well documented."
"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."
"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."
"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."
"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."
 

Cons

"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
"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 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."
"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."
"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."
 

Pricing and Cost Advice

"The licenses attached to the solution are highly priced."
"The product is expensive."
"The pricing is reasonable."
"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
No data available
Energy/Utilities Company
10%
Manufacturing Company
10%
Healthcare Company
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
 

Questions from the Community

What do you like most about Informatica Enterprise Data Lake?
The process of using the tool's scalability option is well documented.
What is your experience regarding pricing and costs for Informatica Enterprise Data Lake?
Informatica Enterprise Data Lake's cost is higher, but it provides good value for the price. It comes at a reasonable price, which I would rate at eight out of ten.
What needs improvement with Informatica Enterprise Data Lake?
Improvement depends upon how we can faster showcase our data in our reports, whether in Power BI, Tableau, or other formats. Improving the speed of data showcasing and filtration would be better, a...
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

Informatica Intelligent Data Lake, Intelligent Data Lake
No data available
 

Overview

 

Sample Customers

Information Not Available
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Find out what your peers are saying about Informatica Enterprise Data Lake vs. SAP Analytics Hub and other solutions. Updated: October 2025.
869,566 professionals have used our research since 2012.