No more typing reviews! Try our Samantha, our new voice AI agent.

Karini.AI vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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
2
Ranking in other categories
AI Customer Support (11th), AI Procurement & Supply Chain (6th)
Qlik Talend Cloud
Ranking in Data Quality
2nd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of August 2026, in the Data Quality category, the mindshare of Karini.AI is 1.6%, up from 0.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.8%, down from 8.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud6.8%
Karini.AI1.6%
Other91.6%
Data Quality
 

Featured Reviews

reviewer2759967 - PeerSpot reviewer
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.
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

Quotes from Members

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

Pros

"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."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"Before, when we wanted solutions and REST APIs, we handed it over to an external company, so it took time, back and forth and all that, but now, with Qlik Talend Cloud, when we want a service, we create it, and in at most one or two days the service is in production and usable, so we save a lot of time."
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"The tool was mainly used for ETL processes to apply governance rules on data."
 

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."
"The solution's memory sometimes bottlenecks and that can be challenging."
"The documentation from version to version could be more accurate. I have found information that is inaccurate or doesn't apply to the version I am trying to install or work in."
"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."
"Qlik Talend Cloud has impacted my organization by increasing the license cost, leading many companies to decide to decommission Talend, as they find the cost too high."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"First, We faced problems with stability of the products."
"SQL for displaying underlying data in non-match results does not work."
"The stability for Talend Data Quality can be rated around an 8; it is quite stable."
 

Pricing and Cost Advice

Information not available
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"It's a subscription-based platform, we renew it every year."
"The tool is cheap."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"License renewal is on a yearly basis."
"I have been using the open-source version."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

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...
What needs improvement with Karini.AI?
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 p...
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...
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

Information Not Available
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Karini.AI vs. Qlik Talend Cloud and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.