Try our new research platform with insights from 80,000+ expert users

Karini.AI vs SAP Information Steward comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 4, 2026

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

Karini.AI
Ranking in Data Quality
12th
Average Rating
10.0
Reviews Sentiment
2.5
Number of Reviews
2
Ranking in other categories
AI Customer Support (3rd), AI Procurement & Supply Chain (15th)
SAP Information Steward
Ranking in Data Quality
13th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Metadata Management (10th)
 

Featured Reviews

reviewer2759967 - PeerSpot reviewer
Co-CEO at a tech services company with 51-200 employees
Has accelerated AI experimentation and simplified transition from prototype to production at scale
The Karini team is responsive and continuously innovating. Scaling this responsiveness is critical to meet the rapid development of generative AI technologies. Karini’s Forward-Deployed Engineers provide instant feedback to Karini’s engineers, and the deployment of enhancements or novel developments continues to keep pace with the overall acceptance of our customers. I expect that demand will intensify quickly, and Karini’s capability to provide near-real-time enhancements is critical to our ability to meet that demand.
FranciscoSantos - PeerSpot reviewer
Director at Pixel Studio PTY
Provides accurate data that is validated against a personalized reference tool
For most SAP customers, Information Steward is enough because it is able to build quality data rules to detect issues in the source systems like SAP HANA, Business Warehouse, or other systems. A business user can first organize their data into several data domains. For example, procurement, human resources, and logistics setup. The domains can build data quality dimensions where you can describe the kind of rule that you are going to use. The user then can immediately see if something is wrong with their data using traffic lights. Another great feature of SAP Information Steward is the accuracy that the content is followed by validating against the reference tool. With the solution, you are creating data quality dimensions. Within these dimensions, you are creating business data quality rules that are looking for specific fields. From these rules, you can create a scorecard. The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits. SAP tables have field names that are very cryptic, making them hard to understand the meaning of the fields. Metapedia helps describe these fields in business terms.

Quotes from Members

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

Pros

"The Karini team understands how to operationalize sophisticated GenAI business solutions at enterprise scale."
"Karini GenAI allowed us to achieve our goals to solve a customer problem, deliver value, and provide a successful entry point into our GenAI journey."
"The Karini team understands how to operationalize sophisticated GenAI business solutions at enterprise scale, allowing for rapid experimentation that does not require staffing up with data scientists, machine learning specialists, or AI practitioners."
"The most valuable features are data quality insight, metadata management, and metadata dictionary."
"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."
"Setup is straightforward."
"Data insight is the most valuable feature."
"The data profiling was excellent, as was the ease of generating the dashboards."
"Initial setup was straightforward."
"The Data Cleansing and the scorecard dashboard are very valuable. Additionally, the financial aspect of SAP Information Steward is very good. When a rule is incorrect then it will show how much is it costing the business. These features are very valuable."
"The solution is very fast."
 

Cons

"Scaling this responsiveness is critical to meet the rapid development of generative AI technologies."
"Karini is still expanding its list of features. As we add new features, additional connections and technologies around AI must be incorporated to ensure we stay current and continue to improve our platform."
"Scaling this responsiveness is critical to meet the rapid development of generative AI technologies."
"The user experience of metapedia could be improved."
"SAP Information Steward could be improved by offering a cloud version of the product."
"Needs to be more powerful on rules."
"Performance could be improved."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"Granularity could be reduced from an application level to the object level."
"The support team is not very responsive."
"The solution could improve by incorporating other applications, such as Power BI to show more visualization. More interaction with other solutions would be a good benefit."
 

Pricing and Cost Advice

Information not available
"A bit pricey, and better tools are available for a lower price."
"I do not know if there were additional costs beyond the standard licensing fees."
"SAP Information Steward is an expensive solution compared to others."
"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Manufacturing Company
21%
Government
18%
Retailer
7%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business1
Large Enterprise7
 

Questions from the Community

What is your experience regarding pricing and costs for Karini.AI?
Karini’s pricing was attractive, with an all-in model that allowed us to deploy three environments aligned with our development instances. We subscribed to Karini’s Forward-Deployed Engineer progra...
What needs improvement with Karini.AI?
The Karini team is responsive and continuously innovating. Scaling this responsiveness is critical to meet the rapid development of generative AI technologies. Karini’s Forward-Deployed Engineers p...
What is your primary use case for Karini.AI?
We created a talent intelligence platform called MAIA. MAIA fuses four advanced AI technologies: Reactive AI, Generative AI, Reasoning AI, and Agentic AI to transform how organizations discover, as...
Ask a question
Earn 20 points
 

Also Known As

No data available
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

Information Not Available
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about Karini.AI vs. SAP Information Steward and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.