

Qlik Talend Cloud and Toad Data Point compete in the data integration and analytics space. Toad Data Point seems to hold a slight advantage due to a robust feature set, though Qlik Talend Cloud is appealing for its pricing and support.
Features: Qlik Talend Cloud focuses on comprehensive data integration, real-time data processing, and cloud-native support. It also offers reusable components, which enable efficient data pipeline creation. On the other hand, Toad Data Point offers powerful data visualization, advanced analytics, and cross-platform queries, providing significant value for complex data environments.
Room for Improvement: Qlik Talend Cloud could benefit from simplifying its initial setup process, enhancing user experience, and reducing complexity in integration. Toad Data Point might improve by offering a more competitive pricing model, expanding its support for cloud-native environments, and improving customization options for advanced users.
Ease of Deployment and Customer Service: Toad Data Point features an intuitive deployment process and strong customer service, contributing to high user satisfaction. Qlik Talend Cloud, while offering satisfactory customer support, can involve a more complex initial setup, which may require additional resources.
Pricing and ROI: Qlik Talend Cloud is known for its competitive pricing model that offers strong ROI over time. This appeals to cost-sensitive buyers. Toad Data Point, with higher upfront costs, is preferred by organizations seeking feature-rich solutions that justify the investment, resulting in significant long-term advantages.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
We actually achieved the first 18 months worth of work in the first six months.
If they contain duplicate counts or null records or improper data, those records would not be reliable.
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;
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
I would rate the technical support from Talend Data Quality as an 8 or 9.
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.
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.
Overall, the service is excellent.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
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.
It does not scale well when considering the high cost of the Mac license.
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.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Once the jobs are properly designed and deployed, they run reliably without major issues.
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.
I often feel instability locally because it is a heavy application, and I feel some slowness in the response of the user interface.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Better cost and resource visibility would help teams optimize their workloads.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
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.
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.
The setup cost is very expensive.
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.
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
The Mac licenses are expensive, costing 1,600 dollars each.
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.
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 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.
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.
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.
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.
There is a feature called Toad Automation, which is a valuable tool.
| Product | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 2.4% |
| Toad Data Point | 0.8% |
| Other | 96.8% |

| Company Size | Count |
|---|---|
| Small Business | 21 |
| Midsize Enterprise | 12 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 6 |
Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.
Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.
What are the key features?In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.
Toad Data Point offers a user-friendly platform for streamlined database management, providing effective tools for data integration and analysis across multiple databases.
With a focus on enhancing database management efficiency, Toad Data Point facilitates smooth SQL querying and data preparation for organizations. Its seamless integration with different databases like Oracle, DB2, and MySQL allows for effective data analysis and workflow automation. Users benefit from drag-and-drop query building and AI-assisted analysis, enhancing productivity while enabling data-driven decision-making.
What are the key features of Toad Data Point?In industries requiring extensive data analysis and reporting, Toad Data Point is deployed to streamline operations. Businesses engage it for SQL queries, data preparation, and cross-database analysis, which are critical for sectors reliant on accurate data and timely insights.
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