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.
Senior Data Scientist at a tech vendor with 10,001+ employees
Real User
Top 10
Feb 23, 2026
What could be improved is probably the user interface. The application is heavy on my local PC; however, if I connect to a remote server, I think it works better. I experience degraded performance on my local compared to a server, which is more powerful, obviously.
Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks. The tool should have a feature where, if I convert my Oracle connection, the code, whether a select statement or anything else, should automatically convert into Oracle format. The same with SQL. When connecting to SQL, the code should be in SQL format, and when connecting to Teradata, it should be in Teradata format. Since not everyone knows all languages, there should be a feature that automatically converts code into the desired format. It's not user-friendly. Once you start using it, you eventually get to know the features.
ERP Manager at a tech services company with 5,001-10,000 employees
Real User
Top 5
Dec 17, 2024
I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly.
VP/Manager, Data Analytics & Intelligence at a financial services firm with 1,001-5,000 employees
Real User
Sep 16, 2022
Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently.
Sr Manager Business Intelligence & Data Governance at a retailer with 1,001-5,000 employees
Real User
May 27, 2021
This product would benefit from a better "join" function that is more intuitive. The "Group By" should be defaulted to "group" when a field is added. When there is a calculated field, the automatic "group by" doesn’t work. Instead, it needs to be done manually for that field. Occasionally, it has some odd issues after a Windows update, although support is pretty good at offering short-term solutions and fixing them in future releases. Table joins are not working properly the whole time. We have experienced query breaking when visualized, after editing in the script. You can’t use the visual to add two calculations on one field. Rather, it has to be scripted. On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues.
Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides nearly limitless data connectivity, desktop data integration, visual query building and workflow automation.
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.
What could be improved is probably the user interface. The application is heavy on my local PC; however, if I connect to a remote server, I think it works better. I experience degraded performance on my local compared to a server, which is more powerful, obviously.
I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.
Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks. The tool should have a feature where, if I convert my Oracle connection, the code, whether a select statement or anything else, should automatically convert into Oracle format. The same with SQL. When connecting to SQL, the code should be in SQL format, and when connecting to Teradata, it should be in Teradata format. Since not everyone knows all languages, there should be a feature that automatically converts code into the desired format. It's not user-friendly. Once you start using it, you eventually get to know the features.
I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly.
Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently.
This product would benefit from a better "join" function that is more intuitive. The "Group By" should be defaulted to "group" when a field is added. When there is a calculated field, the automatic "group by" doesn’t work. Instead, it needs to be done manually for that field. Occasionally, it has some odd issues after a Windows update, although support is pretty good at offering short-term solutions and fixing them in future releases. Table joins are not working properly the whole time. We have experienced query breaking when visualized, after editing in the script. You can’t use the visual to add two calculations on one field. Rather, it has to be scripted. On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues.