Karini.AI vs SAP Information Steward comparison

Karini.ai and SAP are both solutions in the Data Quality category. Karini.ai is ranked #14 with an average rating of 10.0, while SAP is ranked #9 with an average rating of 8.0. Additionally, 100% of Karini.ai users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Karini.AI

Read 2 Karini.AI reviews

16 Views
16 Comparison Views

100% willing to recommend

SAP Information Steward

Read 9 SAP Information Steward reviews

837 Views
527 Comparison Views

100% willing to recommend

Karini.AI

SAP Information Steward

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 22, 2025

SAP Information Steward and Karini.AI compete in data management and governance. Karini.AI might have an edge with advanced AI features appealing to tech buyers.

Features: SAP Information Steward offers integrated data profiling, metadata management, and strong data quality management. Karini.AI provides machine learning capabilities, predictive analytics, and cutting-edge data quality features suitable for innovative tech environments.

Ease of Deployment and Customer Service: SAP Information Steward offers on-premise deployment with comprehensive support. Karini.AI provides cloud-based deployment with proactive customer service, appealing to businesses seeking agile strategies.

Pricing and ROI: SAP Information Steward has higher initial costs with a promise of substantial ROI. Karini.AI's AI solutions may have varied pricing but offer quick adaptability and potential for higher returns in tech-savvy settings.

To learn more, read our detailed Data Quality Report (Updated: October 2025).

Buyer's Guide

Data Quality

October 2025

Download the complete report

Helped 872,098 peers since 2012

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

14th

Average Rating

10.0

Reviews Sentiment

2.5

Number of Reviews

Ranking in other categories

No ranking in other categories

SAP Information Steward

Ranking in Data Quality

9th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Metadata Management (5th)

Featured Reviews

reviewer2759967

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.

Read full review

FranciscoSantos

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.

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 Karini team understands how to operationalize sophisticated GenAI business solutions at enterprise scale."

"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."

"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."

"Ability to collect information, monitor user access and to plan storage capacity."

"Initial setup was straightforward."

"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."

"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."

"Data insight is the most valuable feature."

"The data profiling was excellent, as was the ease of generating the dashboards."

"Setup is straightforward."

"The solution is very fast."

More SAP Information Steward pros

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."

"Needs to be more powerful on rules."

"SAP Information Steward could be improved by offering a cloud version of the product."

"We'd like to see some manipulation techniques included in SAP Information Steward."

"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."

"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."

"The user experience of metapedia could be improved."

"The support team is not very responsive."

"Granularity could be reduced from an application level to the object level."

More SAP Information Steward cons

Pricing and Cost Advice

Information not available

"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."

"SAP Information Steward is an expensive solution compared to others."

"I do not know if there were additional costs beyond the standard licensing fees."

"A bit pricey, and better tools are available for a lower price."

See which vendors are best for you

Use our free recommendation engine to learn which Data Quality solutions are best for your needs.

See recommendations

872,098 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Manufacturing Company

21%

Government

16%

Financial Services Firm

11%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	1
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Karini.AI?

GenAI solutions must prove their value quickly. Finding a partner like Karini who can lower the initial entry point into GenAI and extract value quickly creates real ROI.

See all answers

What needs improvement with Karini.AI?

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 ...

See all answers

What is your primary use case for Karini.AI?

To support our strategy, we needed to speed up our ability to process quotes and orders. Thus, focusing on an IDP (Intelligent Document Processing) solution was logical. Unfortunately, past solutio...

See all answers

Ask a question

Earn 20 points

Comparisons

No data available

SAP PowerDesigner vs SAP Information Steward

Compared 24% of the time

SAP Data Services vs SAP Information Steward

Compared 18% of the time

SAP Data Quality Management vs SAP Information Steward

Compared 17% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Information Steward

Compared 15% of the time

Syniti Information Management vs SAP Information Steward

Compared 14% of the time

More SAP Information Steward Competitors

Product Reports

Buyer's Guide

Data Quality

October 2025

Download Karini.AI product report

Buyer's Guide

SAP Information Steward

October 2025

Download SAP Information Steward product report

Also Known As

No data available

Information Steward, SAP Data Insight

Overview

Karini.AI is a cutting-edge platform offering advanced AI-driven solutions tailored to meet the dynamic needs of businesses by enhancing operational efficiency and decision-making processes through innovative applications.

Karini.AI revolutionizes how enterprises leverage artificial intelligence to streamline operations, optimize performance, and achieve strategic goals. With its robust machine learning algorithms and intuitive tools, it provides personalized insights and analytics that empower businesses to make data-driven decisions in real-time. Karini.AI stands out for its adaptability and customized offerings, which include various applications designed to meet the specific needs of each business sector.

What are Karini.AI's key features?

AI-Powered Analytics: Provides real-time analytics to drive data-centric strategies.
Customizable Dashboards: Allows businesses to tailor dashboards for specific data monitoring needs.
Automated Reporting: Streamlines report generation saving time and reducing errors.
Data Integration: Seamlessly integrates with existing data systems for cohesive workflows.

What benefits and ROI should businesses look for in Karini.AI reviews?

Improved Efficiency: Boosts operational efficiency through automation and intelligent processes.
Enhanced Decision Making: Supports data-driven decisions with accurate and timely insights.
Cost Reduction: Reduces costs by optimizing resource allocation and minimizing manual tasks.
Scalability: Easily scales to accommodate business growth and changing requirements.

Karini.AI's adaptable framework is implemented across diverse industries, including finance, healthcare, and retail, providing each sector with tailored solutions that improve efficiency and performance. In healthcare, it aids in predictive analysis for patient management, while in finance, it enhances risk assessment and strategic planning. Retailers benefit from targeted marketing insights and inventory optimization, demonstrating the versatility and impact of Karini.AI in driving industry-specific advancements.

Karini.ai

Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.

SAP

Sample Customers

Information Not Available

American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated

Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality. Updated: October 2025.

DOWNLOAD NOW

872,098 professionals have used our research since 2012.

See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.