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Karini.AI vs SAP Data Quality Management 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 #10 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
  • 16 Views
  • 16 Comparison Views
100% willing to recommend
SAP Data Quality Management
Read 3 SAP Data Quality Management reviews
  • 472 Views
  • 448 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 28, 2025

SAP Data Quality Management and Karini.AI are competing in the realm of data accuracy and reliability enhancement. Karini.AI appears to have the upper hand due to its advanced data processing capabilities and innovative features brought by machine learning algorithms.

Features: SAP Data Quality Management offers data integration, cleansing, and enrichment, making it suitable for SAP users. Karini.AI provides AI-driven analytics, real-time data cleansing, and the ability to learn from data patterns, offering a modern approach for tech-forward organizations.

Ease of Deployment and Customer Service: SAP Data Quality Management integrates easily within SAP frameworks, offering support for SAP users. Karini.AI's cloud-based deployment offers flexibility and quicker integration. It provides personalized customer service adapting to different deployment needs.

Pricing and ROI: Pricing for SAP Data Quality Management involves higher initial setup costs, with ROI depending on SAP infrastructure investments. Karini.AI offers competitive subscription pricing with faster ROI through cost-effective AI efficiencies, appealing to budget-conscious businesses.

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Buyer's Guide
Data Quality
October 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
14th
Average Rating
10.0
Reviews Sentiment
2.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
SAP Data Quality Management
Ranking in Data Quality
10th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Featured Reviews

reviewer2759967 - PeerSpot reviewer
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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Rene Dorantes - PeerSpot reviewer
Scalable, stable, and offers good technical support
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. What I'd like to see from SAP Data Quality Management in the future is the integration of machines on the shop floor or a feature that connects shop floor devices. I'd also like a custom dashboard in the solution, though I wonder if that's available in the new version. The old version my company uses doesn't have that. Another feature I want in the next release of SAP Data Quality Management is better communication between the ME and the SAP systems.
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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, 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."
"The Karini team understands how to operationalize sophisticated GenAI business solutions at enterprise scale."
"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."
"Scaling this responsiveness is critical to meet the rapid development of generative AI technologies."
"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."
"There are some limitations. They are not covering complete scenarios for all the modules."
"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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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
15%
Financial Services Firm
10%
Computer Software Company
8%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

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.
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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...
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What needs improvement with SAP Data Quality Management?
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...
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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
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Compared 16% of the time
Informatica Cloud Data Quality vs SAP Data Quality Management Logo
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Datactics Data Quality Manager vs SAP Data Quality Management Logo
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Compared 13% of the time
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Product Reports

Buyer's Guide
Data Quality
October 2025
Karini.AI reportDownload Karini.AI product report
Buyer's Guide
Data Quality
October 2025
SAP Data Quality Management reportDownload 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
Data Quality
October 2025
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