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Qlik Talend Cloud vs Toad Data Point 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:
 

ROI

Sentiment score
6.1
Qlik Talend Cloud enhances efficiency and data quality, automating processes to save time, reduce errors, and accelerate business decisions.
Sentiment score
5.5
Users experienced over 100% ROI with Toad Data Point due to time savings, improved efficiency, and enhanced data reliability.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
IT Consultant at a tech services company with 201-500 employees
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
Data & Analytics Engineer at PicPay
We actually achieved the first 18 months worth of work in the first six months.
Enterprise Architect at Waikato Regional Council
If they contain duplicate counts or null records or improper data, those records would not be reliable.
Business Analyst at a financial services firm with 10,001+ employees
Financially, I understand that teams often see a return on investment of one hundred percent plus annually from Toad Data Point through time savings and tool consultation;
Junior Data Analyst at Lumendata
 

Customer Service

Sentiment score
7.1
Qlik Talend Cloud users praise responsive support but suggest expert involvement and documentation improvements; community and AI also assist.
Sentiment score
6.0
Toad Data Point's customer service is praised for responsiveness, active bug fixing, and strong community support, despite lacking AI agents.
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
IT Consultant at a tech services company with 201-500 employees
I would rate the technical support from Talend Data Quality as an 8 or 9.
Senior Consultant at a tech services company with 201-500 employees
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
Assistant Consultant at a tech vendor with 10,001+ employees
The quality of their support is excellent, and the speed is very good, too.
They resolved my issue within a day which was specifically around licensing.
ERP Manager at a tech services company with 5,001-10,000 employees
Overall, the service is excellent.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
 

Scalability Issues

Sentiment score
6.8
Qlik Talend Cloud efficiently scales with resources, but performance varies; infrastructure management ensures adaptability and dynamic scaling.
Sentiment score
6.8
Toad Data Point is scalable and efficient for databases, despite memory load issues and licensing costs, especially on Mac.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
IT Consultant at a tech services company with 201-500 employees
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
Data & Analytics Engineer at PicPay
We've set up alerts, so if we have an increasing volume and so on, it's up to us to increase CPU, increase RAM, and all those details.
Software Development Manager at a comms service provider with 201-500 employees
It does not scale well when considering the high cost of the Mac license.
ERP Manager at a tech services company with 5,001-10,000 employees
Some aspects, like scalability, could be improved to avoid writing different codes for each database.
Scalability has not been an issue because so far we have dumped about a billion records per year, and I do not see any issues as such.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
7.1
Qlik Talend Cloud is stable with an 8/10 rating, but requires correct configuration and faces minor issues.
Sentiment score
7.7
Toad Data Point is stable but faces local performance issues and update lags; new problems are quickly resolved.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Consultant en intelligence décisionnelle at VO2 Group
Once the jobs are properly designed and deployed, they run reliably without major issues.
IT Consultant at a tech services company with 201-500 employees
It was not as stable when we were using TAC and on-premise systems, but currently, with Qlik Talend Cloud version 8.3 or 8.1, it is stable.
Data Engineer at HCLSoftware
I often feel instability locally because it is a heavy application, and I feel some slowness in the response of the user interface.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Room For Improvement

Qlik Talend Cloud needs improved speed, governance, AI, real-time processing, connectors, documentation, and monitoring for enhanced usability and support.
Toad Data Point needs interface improvements, enhanced features, AI assistance, scalability, and better collaboration to address user concerns.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Enterprise Architect at Waikato Regional Council
Better cost and resource visibility would help teams optimize their workloads.
Data & Analytics Engineer at PicPay
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
IT Consultant at a tech services company with 201-500 employees
Better data visualization tools, improved integrations with modern tools, and enhanced collaboration features such as shared query libraries and real-time collaborations would be beneficial.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks.
The application is heavy on my local PC; however, if I connect to a remote server, I think it works better.
Senior Data Scientist at a tech vendor with 10,001+ employees
 

Setup Cost

Qlik Talend Cloud is cost-effective with flexible pricing, though add-ons and global pricing variations impact affordability.
Toad Data Point pricing is reasonable, but Mac version costs deter adoption; Microsoft rivalry impacts licensing choices.
The setup cost is very expensive.
Software Development Manager at a comms service provider with 201-500 employees
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
Assistant Consultant at a tech vendor with 10,001+ employees
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
ETL developer at a tech vendor with 10,001+ employees
The Mac licenses are expensive, costing 1,600 dollars each.
ERP Manager at a tech services company with 5,001-10,000 employees
The pricing for Toad Data Point is where it gets into trouble.
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
 

Valuable Features

Qlik Talend Cloud excels in open-source ETL, seamless data integration, user-friendly interfaces, and scalable, efficient, collaborative data management.
Toad Data Point offers cross-database queries, automation, AI-assisted analysis, and drag-and-drop management for streamlined data productivity.
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.
IT Consultant at a tech services company with 201-500 employees
We perform profiling prior to data quality and post-data quality, and based on that, we determine how much it has improved to measure the efficiency of Talend Data Quality cleaning tools.
Senior Consultant at a tech services company with 201-500 employees
The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work.
Data & Analytics Engineer at PicPay
I am able to have cross-connection queries, blend and join data from multiple different databases in a single query, with data profiling, automation and scheduling, and export and reporting tools.
Junior Data Analyst at Lumendata
I utilize automations in my database with Ansible automations, performing automation data processing units and deployment, which has a positive impact, increasing efficiency and reducing human error, as well as saving time, thus improving productivity and scalability compared to human errors.
Senior Oracle Database Administrator at ODB Training and Software Services LLP
There is a feature called Toad Automation, which is a valuable tool.
 

Categories and Ranking

Qlik Talend Cloud
Ranking in Data Integration
6th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
Toad Data Point
Ranking in Data Integration
19th
Average Rating
8.8
Reviews Sentiment
6.8
Number of Reviews
10
Ranking in other categories
Data Preparation Tools (4th)
 

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of Qlik Talend Cloud is 2.4%, up from 2.0% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.4%
Toad Data Point0.8%
Other96.8%
Data Integration
 

Featured Reviews

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.
Sudunagunta Bhavya Lekha - PeerSpot reviewer
Junior Data Analyst at Lumendata
Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting
I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
9%
Construction Company
8%
Computer Software Company
6%
Financial Services Firm
17%
Healthcare Company
9%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
 

Questions from the Community

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...
What is your experience regarding pricing and costs for Toad Data Point?
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
What needs improvement with Toad Data Point?
Areas for improvement in Toad Data Point usage could include a better UI interface, building in AI assistance, and faster performance for large databases, especially since accessing a terabyte of d...
What is your primary use case for Toad Data Point?
My use case is mainly for business analysis, and I also use it for some parts of machine learning and AI, and in some cases, I use it for healthcare purposes.
 

Also Known As

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

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Concordia University
Find out what your peers are saying about Qlik Talend Cloud vs. Toad Data Point and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.