Informatica Cloud Data Quality vs Karini.AI comparison

Informatica and Karini.ai are both solutions in the Data Quality category. Informatica is ranked #3 with an average rating of 8.0, while Karini.ai is ranked #14 with an average rating of 10.0. Additionally, 75% of Informatica users are willing to recommend the solution, compared to 100% of Karini.ai users who would recommend it.

Informatica Cloud Data Quality

Read 17 Informatica Cloud Data Quality reviews

896 Views
896 Comparison Views

75% willing to recommend

Karini.AI

Read 2 Karini.AI reviews

16 Views
16 Comparison Views

100% willing to recommend

Informatica Cloud Data Quality

Karini.AI

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 22, 2025

Informatica Cloud Data Quality and Karini.AI are competing in data quality management. Informatica Cloud Data Quality is generally favored for its robust features and strong support network, but Karini.AI offers innovative capabilities with potential for high-impact results.

Features: Informatica Cloud Data Quality includes data profiling, cleansing, and enrichment, offering AI-enhanced data accuracy and consistency. Its comprehensive data integration tools are a key strength. Karini.AI provides machine learning capabilities, real-time analytics, and automation that simplify complex processes, delivering advanced AI-driven insights.

Ease of Deployment and Customer Service: Informatica Cloud Data Quality offers a cloud-based model with extensive support options to ensure smooth implementation. Karini.AI focuses on rapid deployment through intuitive design, providing a user-friendly experience. Informatica's support infrastructure is more extensive, whereas Karini.AI is noted for ease of setup.

Pricing and ROI: Informatica Cloud Data Quality's pricing is seen as an investment toward scalability and integration with long-term ROI. Karini.AI presents a flexible cost structure, appealing for quicker returns on investment. Informatica may have a higher initial cost for comprehensive features, while Karini.AI provides attractive ROI through innovation and efficiency.

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

Buyer's Guide

Data Quality

October 2025

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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

Informatica Cloud Data Quality

Ranking in Data Quality

3rd

Average Rating

8.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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

Featured Reviews

Mehmet SukruKaya

Senior Data Analytics Manager at Esan

Improved data quality significantly enhances project efficiency and effectiveness

I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.

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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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Quotes from Members

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

Pros

"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."

"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."

"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."

"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."

"The profiling features are much better than the on-premise version."

"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."

"The user-friendliness and performance of Informatica is quite impressive."

"Initial setup was fairly easy."

More Informatica Cloud Data Quality 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."

Cons

"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."

"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."

"The high price of the product is an area of concern where improvements are required."

"Improving the UI to be more business user-friendly would also be beneficial."

"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."

"The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."

More Informatica Cloud Data Quality 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."

Pricing and Cost Advice

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."

"We pay for a yearly subscription."

"Informatica Cloud Data Quality is a costly solution."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

11%

Computer Software Company

10%

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	9

No data available

Questions from the Community

What do you like most about Informatica Cloud Data Quality?

The profiling features are much better than the on-premise version.

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What needs improvement with Informatica Cloud Data Quality?

I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...

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What is your primary use case for Informatica Cloud Data Quality?

I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...

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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...

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Comparisons

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

Compared 53% of the time

Talend Data Quality vs Informatica Cloud Data Quality

Compared 16% of the time

Ataccama ONE Platform vs Informatica Cloud Data Quality

Compared 12% of the time

SAP Data Quality Management vs Informatica Cloud Data Quality

Compared 11% of the time

SAS Data Management vs Informatica Cloud Data Quality

Compared 8% of the time

More Informatica Cloud Data Quality Competitors

No data available

Product Reports

Buyer's Guide

Informatica Cloud Data Quality

October 2025

Download Informatica Cloud Data Quality product report

Buyer's Guide

Data Quality

October 2025

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Also Known As

Cloud Data Quality Radar

No data available

Overview

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

Informatica

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

Sample Customers

Freddie Mac, Rabobank

Information Not Available

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