In our comparison of Datapine vs. Looker, Looker is the best option with a higher overall Wheelhouse Score. Wheelhouse Score uses a combination of feature and pricing comparison data, average user ratings, and editorial reviews to score software vendors on a scale of 1-10.
I value how easy it is to develop and distribute engaging dashboards thanks to the user-friendly design. Additionally, Datapine provides a range of charts to display different indicators, which enables me to more effectively monitor my strategic and operational processes. Additionally, being able to create automated reports frees up my time. For the purpose of creating my own inquiries in the near future, I would like to see more tutorials regarding how to use the SQL box.
Simple interface, very effective, attractive dashboards, and automates reports
Tutorials are'nt given enough
Ability to develop PDTs, plan looks to be emailed out on a particular frequency, and standardize metrics over the board
It's not possible to do a select distinct on through the explore and it's something you have to perform that on the backend.
My team is now more productive because of this trustworthy and user-friendly data visualization and analytics application. It helps us track and evaluate data from many sources in support of our initiative on the sustainability of the automobile sector. Our team finds the real-time dashboards to be a useful solution because they are simple to make and share. Although some of our non-technical users find the SQL box to be too complex, we manage quite fine without it.
Intuitive user interface, easy to create dashboards, variety of templates and efficient
SQL box is too advanced for non-technical users
An astounding ability to save looks to a dashboard to work with every morning. It is a helpful system for presentation and analysis thanks to the custom calculations, data input adaptability, and the quite unlimited creative chances.
The ability to develop precise data groups by saving data “looks” to dashboards that are customized.
Adding computations with data inside the platform is naturally complicated as compared to the data warehouse.
I value how easy it is to develop and distribute engaging dashboards thanks to the user-friendly design. Additionally, Datapine provides a range of charts to display different indicators, which enables me to more effectively monitor my strategic and operational processes. Additionally, being able to create automated reports frees up my time. For the purpose of creating my own inquiries in the near future, I would like to see more tutorials regarding how to use the SQL box.
Simple interface, very effective, attractive dashboards, and automates reports
Tutorials are'nt given enough
My team is now more productive because of this trustworthy and user-friendly data visualization and analytics application. It helps us track and evaluate data from many sources in support of our initiative on the sustainability of the automobile sector. Our team finds the real-time dashboards to be a useful solution because they are simple to make and share. Although some of our non-technical users find the SQL box to be too complex, we manage quite fine without it.
Intuitive user interface, easy to create dashboards, variety of templates and efficient
SQL box is too advanced for non-technical users
Ability to develop PDTs, plan looks to be emailed out on a particular frequency, and standardize metrics over the board
It's not possible to do a select distinct on through the explore and it's something you have to perform that on the backend.
An astounding ability to save looks to a dashboard to work with every morning. It is a helpful system for presentation and analysis thanks to the custom calculations, data input adaptability, and the quite unlimited creative chances.
The ability to develop precise data groups by saving data “looks” to dashboards that are customized.
Adding computations with data inside the platform is naturally complicated as compared to the data warehouse.
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In our rating and review comparison of Datapine vs. Looker, Datapine has 18 user reviews and Looker has 37. The average star rating for Datapine is 4.94 while Looker has an average rating of 4.59. Datapine has more positive reviews than Looker. Comparing Datapine vs. Looker reviews, Datapine has stronger overall reviews.
Datapine vs. Looker both offer a strong set of features and functionality including Data Management, Data Migration, Report Management, Reporting & Analytics, Drag-and-Drop Builders/Designers, Layout Types, Chart Types, Customizable Items, Appointments/Scheduling, Reminders/Alerts, Workflow Automation, File Management, Systems/Administrative, Cybersecurity Features, Disaster Recovery, Integration Options, After-Sales Service, Limits. In our feature comparison of Datapine vs. Looker, Looker offers more of the most popular features and tools than Datapine.
In our pricing comparison of Datapine vs. Looker, Looker's pricing starts at $5000/month and is more affordable compared to Looker's starting cost of $5000/month.
Our comparison of Datapine vs. Looker shows that Looker scores higher in usability for learning curve, quality of support, ease of admin. Datapine scores higher in ease of use, meets requirements, setup & support, but Looker has the best scores overall for system usability.
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