Looker Studio is a data visualization platform that transforms data into meaningful presentations and dashboards with customized reporting tools.
$9
per month per user per project
Tableau Desktop
Score 8.2 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$70
per month
Pricing
Looker Studio
Tableau Desktop
Editions & Modules
Looker Studio Pro
$9
per month per user per project
Looker Studio
No charge
Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
Looker Studio
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Looker Studio
Tableau Desktop
Considered Both Products
Looker Studio
Verified User
Strategist
Chose Looker Studio
Tableau is a great tool, but comparing the desktop version (which is the cheapest) with data Studio, the choice was obvious, Data Studio. First, it's free. Second, it updates automatically. With Tableau Desktop, I had to manually update each of the charts, whichewas very …
Google Data Studio is widely available and accessible, can be shared easily, and it only takes 20-30 min to build a rudimentary dashboard. It has very little setup and does not rely on internal data architecture and development. For later development purposes, Tableau, Power …
Google Data Studio provides basic functionalities for visualizing data and creating simple reports, but it certainly does not provide the advanced visualizations and features that Tableau and Power BI offer. Moreover, Tableau offers built-in advanced functions and data …
Tableau and Domo are MUCH more robust tools than Google Data Studio. We did try to use Tableau before using GDS and we ended up not using Tableau to its full potential since we didn't know what we didn't know.
After using GDS for almost 2 years, we now have a solid …
I selected Google Data Studio because it was free. In general it compares favorably against BIME but less against PowerBI and Tableau. I was looking for a free tool to help surface metrics company-wide and this tool was perfect for me. PowerBI and Tableau have much more data …
Officially we are still on Tableau Desktop. We are nearing the end of our "exploration" phase with Google Data Studio. Tableau's products are expensive, especially for a small organization like us. There are many better uses of the software budget than Tableau. Google Data …
One major flaw when comparing Tableau and Google Data Studio is the difficulty of sharing data externally. Google Data Studio is more of an open platform while Tableau requires a company log-in, which becomes a barrier when working with customers, partners, or any other contact …
Google Data Studio is simpler than Tableau. If you need advanced data visualization, Tableau is probably a better option. Infogram offers a lot more visualization built into the system but is otherwise comparable.
Compared with Tableau and Power BI, I would say Google Data Studio is fairly placed or a pretty decent tool. We need to understand, this is a free tool and it will have its own limitations - apart from that this is a pretty decent tool compared to the biggies in the market.
Obviously, Google Data Studio is an improvement over Google Charts, which I believe powers the chart modules used in Data Studio. I think of Data Studio as a convenient way to combine multiple Google Charts in one, easy-to-read report.
Google Data Studio is free, easily integrates with the Google Marketing Platform, and is simple to use. It's a better choice for most basic marketing reporting. Tableau is better for more BI and exploratory data analysis.
Google Data Studio provides a great feature set considering its price point, especially when compared to commercial options from Microsoft and Tableau. While it may not be as versatile when it comes to working with and developing complex datasets, there is enough charm in its …
Google holds it's own against these competitors as they each have their own strengths and weaknesses. While Tableau provides user-interactive reporting, its formatting options can be quickly rigid and frustrating.
Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. …
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 …
Data Studio is the
first step in your data visualization journey, as your data gets bigger and
your need for information grows you will have to move to something more powerful,
Google Data Studio offers the best bang for your buck because it is free to use and works well as a baseline tool/offering. It'll provide you an easy to use data visualization tool that can crank out dashboards that are client ready with support from the Google community.
Tableau can create visually attractive customizable dashboards than can quickly by drag-drop while in power bi we can create simple dashboard. Power bi support lesser data source while in Tableau there is a lot of options When we talk about data handling tableau is a clear …
For complex data visualization, Tableau Desktop shines. Even though it uses highly granular databases, it has a powerful engine that can process large amounts of data quickly and produce high-quality charts. It has the broadest range of APIs and is extremely simple. The …
Tableau Desktop allows for a lot more customisation then the other products which are more targeted at being easier to use. Tableau is also easy to use for standard analytics and dashboards, but allows advanced users to create more powerful data driven dashboards through its …
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python …
Microsoft PowerBI could potentially be a better fit for organizations on Office365, it's a close call though. Google Data Studio has potential but is still far behind Tableau on the "user-friendly" factor. Tableau still seems to dominate for the "recommended" analytics tool, …
Tableau Desktop is far more capable than Data Studio but it should be since you're paying for that service. Datorama seems to be a closer rival with similar abilities and excellent customer service with a dedicated client success manager.
We actually made the shift from Tableau to Datorama. Being unable to easily share the reports with clients was where we were stuck in Tableau. It was more of a request within our relationship than a fault of Tableau.
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.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
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
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Google Data Studio has a clean interface that follows a lot of UX best practices. It is fairly easy to pick up the first time you use it, and there is a lot of documentation on line to help troubleshoot, if needed
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
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.
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
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.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.