Karini.AI vs SAP Data Quality Management comparison

Karini.ai and SAP are both solutions in the Data Quality category. Karini.ai is ranked #12 with an average rating of 10.0, while SAP is ranked #8 with an average rating of 7.0. 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

141 Views
78 Comparison Views

100% willing to recommend

SAP Data Quality Management

Read 3 SAP Data Quality Management reviews

600 Views
570 Comparison Views

100% willing to recommend

Karini.AI

SAP Data Quality Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 4, 2026

SAP Data Quality Management and Karini.AI compete in enhancing data integrity and accuracy. While SAP offers extensive enterprise capabilities, Karini.AI could be more appealing for businesses centered on data analytics and AI-driven insights.

Features: SAP Data Quality Management offers data cleansing, enrichment, and validation, supporting complex organizational needs globally. Karini.AI uses advanced AI algorithms and provides real-time data analytics, focusing on insightful and predictive data handling. SAP is strong in structural data capabilities, while Karini.AI emphasizes real-time adaptability.

Ease of Deployment and Customer Service: SAP Data Quality Management provides a detailed, complex deployment process with comprehensive support for large-scale businesses. Karini.AI focuses on easy deployment and AI integration, enhanced by responsive customer service for agile environments.

Pricing and ROI: SAP Data Quality Management involves higher initial setup costs but offers significant long-term ROI for large enterprises. Karini.AI has competitive pricing and provides rapid ROI, suited for cost-effective and scalable solutions.

To learn more, read our detailed Karini.AI vs. SAP Data Quality Management Report (Updated: December 2025).

Buyer's Guide

Karini.AI vs. SAP Data Quality Management

December 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

Karini.AI

Ranking in Data Quality

12th

Average Rating

10.0

Reviews Sentiment

2.5

Number of Reviews

Ranking in other categories

AI Customer Support (3rd), AI Procurement & Supply Chain (15th)

SAP Data Quality Management

Ranking in Data Quality

8th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

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.

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VenkatB

Director at Norderia

Embrace efficient data management with integrated features but anticipate some enhancement needs

This tool itself is new. SAP Data Quality Management was brought in by SAP recently, maybe a year or two years back. We just started implementing and we still have not heard exact feedback from the client. It would not be correct if I give feedback now because I don't have accurate feedback from client usage. I feel it is a good tool with some limitations. We compared it with Celonis, which is also one of the other tools in the market. I am more into SAP and S4 HANA, so I am not familiar with all the best tools available in Data Quality Management which can be compatible with SAP. We know there are issues with SAP Data Quality Management. The advantage of this tool that SAP brought is that it is already in-built. You don't need to build another application layer on top of the existing one. The compatibility and response time for these applications within the same database is faster.

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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 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."

"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."

"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."

"Scalability is good."

Cons

"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."

"There are some limitations. They are not covering complete scenarios for all the modules."

"I would like for them to develop a feature to able to record all of our inspections; so all the data can go through SAP. It's not user-friendly or easy to get further analysis, so we mostly skip this step."

"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."

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881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Manufacturing Company

17%

Computer Software Company

Retailer

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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What needs improvement with Karini.AI?

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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...

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What needs improvement with SAP Data Quality Management?

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What is your primary use case for SAP Data Quality Management?

Currently, one of our clients is seeking SAP Data Quality Management solutions, so we are exploring options in that area. The product is not mature yet, so they need to work to improve it. We are a...

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What advice do you have for others considering SAP Data Quality Management?

For smaller organizations, I don't think this much is required. If it is a bigger size client from a business point of view, I definitely recommend this tool. They can use it if they are already us...

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Comparisons

No data available

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Quality Management

Compared 18% of the time

SAP Data Services vs SAP Data Quality Management

Compared 13% of the time

SAP Information Steward vs SAP Data Quality Management

Compared 13% of the time

Datactics Data Quality Manager vs SAP Data Quality Management

Compared 9% of the time

Innovative Systems eLation Platform vs SAP Data Quality Management

Compared 8% of the time

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Product Reports

Buyer's Guide

Data Quality

January 2026

Download Karini.AI product report

Buyer's Guide

Data Quality

January 2026

Download SAP Data Quality Management product report

Also Known As

No data available

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

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

SAP BusinessObjects Data Quality Management, version for SAP solutions (DQM for SAP), enables you to embed support for data quality directly into SAP ERP,CRM and MDG applications. Start by entering a new customer, supplier, or partner record using the SAP ERP, SAP CRM , SAP MDG applications. Then this version of SAP BusinessObjects Data Quality Management software corrects components of the address, validates the address based on referential data sources, and formats the address according to the norms of the applicable country. This solution helps in avoiding the duplicate entities entering into your SAP ERP, CRM and MDG applications(supports different MDG data models for address validation and duplicate checks) and also helps in searching and improving your existing data.

SAP

Sample Customers

Information Not Available

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R

Buyer's Guide

Karini.AI vs. SAP Data Quality Management

December 2025

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