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Karini.AI vs Microsoft Data Quality Services comparison

Karini.ai and Microsoft are both solutions in the Data Quality category. Karini.ai is ranked #14 with an average rating of 10.0, while Microsoft is ranked #15 with an average rating of 7.0. Additionally, 100% of Karini.ai users are willing to recommend the solution, compared to 100% of Microsoft users who would recommend it.
Karini.AI
Read 2 Karini.AI reviews
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  • 16 Comparison Views
100% willing to recommend
Microsoft Data Quality Serv...
Read 2 Microsoft Data Quality Services reviews
  • 257 Views
  • 257 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 22, 2025

Microsoft Data Quality Services and Karini.AI compete in the data accuracy and quality management category. Karini.AI often has the upper hand due to its robust AI-driven features that provide significant value despite the higher cost.

Features: Microsoft Data Quality Services includes seamless integration with Microsoft products, sophisticated data cleansing capabilities, and noteworthy integration with existing systems. Karini.AI provides AI-based validation, anomaly detection tools, and advanced automation, setting it apart for more innovative data analysis.

Ease of Deployment and Customer Service: Microsoft Data Quality Services integrates within SQL Server environments, benefiting those using Microsoft-centric infrastructures and receiving extensive customer service. Karini.AI offers a cloud-based deployment model, prioritizing rapid initialization along with comprehensive support for AI technologies.

Pricing and ROI: Microsoft Data Quality Services often involves lower upfront costs by leveraging existing infrastructures, leading to potentially faster ROI. Karini.AI requires a higher initial investment but promises greater returns through enhanced data precision and operational efficiency.

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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
Microsoft Data Quality Serv...
Ranking in Data Quality
15th
Average Rating
7.6
Reviews Sentiment
4.4
Number of Reviews
2
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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Satyam Saxena - PeerSpot reviewer
Automation in data management improves with built-in error rejection but technical support needs enhancement
Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expression processing is complicated and slow. Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation. Sometimes solutions to problems take several weeks due to a lack of support, relying instead on personal networks and experience.
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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."
"The primary advantage of Microsoft Data Quality Services is its capability to automate certain tasks, which are otherwise achieved through SQL queries."
"This solution is particularly useful for data enrichment."
 

Cons

"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."
"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."
"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."
"Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation."
 

Pricing and Cost Advice

Information not available
"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."
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872,098 professionals have used our research since 2012.
 

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...
See all answers
What is your experience regarding pricing and costs for Microsoft Data Quality Services?
Microsoft Data Quality Services comes as part of SQL Server without additional costs, making it a competitive solution.
See all answers
What needs improvement with Microsoft Data Quality Services?
Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expre...
See all answers
What is your primary use case for Microsoft Data Quality Services?
I use Microsoft Data Quality Services ( /products/microsoft-data-quality-services-reviews ) to handle data inconsistencies, such as missing or improperly formatted data. The tool serves purposes li...
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Comparisons

No data available
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Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Data Quality Services
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Talend Data Quality vs Microsoft Data Quality Services Logo
Talend Data Quality vs Microsoft Data Quality Services
Compared 45% of the time
More Microsoft Data Quality Services Competitors
 

Product Reports

Buyer's Guide
Data Quality
October 2025
Karini.AI reportDownload Karini.AI product report
Buyer's Guide
Data Quality
October 2025
Microsoft Data Quality Services reportDownload Microsoft Data Quality Services product report
 

Also Known As

No data available
MS Data Quality Services
 

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

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data.

Microsoft
Buyer's Guide
Data Quality
October 2025
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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.