Looker Studio vs. Maple

Looker Studio is well-suited for those wanting to analyze web/site data and performance quickly. It is simple enough to learn/use for quick report-building or drilling into data. Looker Studio is easier to use/understand than the GA4 console and thus has a better UI/UX. It is an efficient tool for fast, simple data needs—especially for team members with limited analytical capabilities and knowledge.

Incentivized

Maple is very useful in following scenarios :

• When doing some equation modelling for differential equations
• Writing code to simulate a electrical of mathematical system
• Speech and Image Processing Use case
• Linear Algebra Problems
• Lot of Options to plot 2-D and 3-D, including implicit, contour, complex, polar, vector field, conformal, density, ODE, PDE, and, statistical plot
• Engineering plots, including time and frequency domain responses and root-locus and root-contour plots

Incentivized

• Self-service
• Easy to use, point and click
• Little to no training required
• Easy to share internally and externally
• Rich visualizations
• Canned reports
• Easy to copy/paste/dupe existing reports
• Ability to join data sets
• Easy integration with various data sources
• Flexible data integrations, including lowest common denominator (CSV, XLS, G-Sheets)
• Wide range of APIs
• Secure / authentication via Google SSO
• Easy to share / re-assign ownership of reports and data sources

Incentivized

• Numerical Calculation and Calculus
• Visualization of statistical and numerical data
• Predefined code templates for standard problem like finding FFT

Incentivized

• Few functionalities are very exclusive only for data studio.
• It's time taking to load data and at the same time only single Data source can be connected.
• When editing the reports you have to switch between Edit and View mode to see how does the change looks like.

• On the software side and the software is bulky
• Code Editor can be improved
• Sometime software fails and hang when doing high calculation

Incentivized

It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration

Incentivized

It is not ideal and requires time and dedication to understand how to work with it. Also, it has a lot of limitations around data it can accept. But in most cases, this tool is sufficient for everyday tasks of product and marketing departments. I wouldn't say that the interface is very user-friendly, but for people who regularly work with analytical tools, it must be ok.

Incentivized

I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.

Incentivized

The free version of Looker Studio is still better than the leading enterprise-embedded BI tools, despite its weaknesses. The leading embedded BI platforms have terrible visualizations that can be spotted a mile away. They are also primarily locked to a grid, making it very hard to fully customize. The price point is also a major deterrent, since users end up paying for lots of features they might never use. Looker Studio has weaknesses on the blending and modeling side, but we've been able to get by via connection to GBQ and transformation done in dbt.

Incentivized

Maple is a very niche product and competes directly with Mathematica and MATLAB. It is a little expensive as compared to the other two however has more set of functions and libraries which makes it for suitable for high level and complex mathematics. It's editor is not on par with other two however it's visualization module is very good and powerful.

Incentivized

• Free, so the only investment is time
• Because it doesn't have native support of non-Google sources, it can cost more money than Tableau
• The time spent formatting the templates or building connectors can have a negative impact on ROI
• As a agency, charging for the reporting service is profitable after the first month or two after building the dashboard.

Incentivized

• It saves time and does lot of hard calculation which is not possible manually
• Software is little bit expensive however has more functions as compared to Matlab and Mathematica
• Learning curve is little steep and hence take additional time to master

Incentivized