Google Charts provides a way to visualize data on your website - for free. From simple line charts to complex hierarchical tree maps, the chart gallery provides a large number of ready-to-use chart types. The most common way to use Google Charts is with simple JavaScript that you embed in your web page.
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Tableau Server
Score 7.6 out of 10
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Tableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center, or it can be deployed on a public cloud.
$12
Per User Per Month
Pricing
Google Charts
Tableau Server
Editions & Modules
No answers on this topic
Viewer
$12.00
Per User Per Month
Explorer
$35.00
Per User Per Month
Creator
$70.00
Per User Per Month
Offerings
Pricing Offerings
Google Charts
Tableau Server
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Charts
Tableau Server
Features
Google Charts
Tableau Server
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Google Charts
8.8
Ratings
8% above category average
Tableau Server
9.5
Ratings
15% above category average
Pixel Perfect reports
8.10 Ratings
9.10 Ratings
Customizable dashboards
9.50 Ratings
9.70 Ratings
Report Formatting Templates
8.80 Ratings
9.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Google Charts
9.3
Ratings
14% above category average
Tableau Server
9.1
Ratings
12% above category average
Drill-down analysis
8.60 Ratings
8.90 Ratings
Formatting capabilities
9.50 Ratings
8.80 Ratings
Integration with R or other statistical packages
9.50 Ratings
9.00 Ratings
Report sharing and collaboration
9.60 Ratings
9.80 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Google Charts
9.0
Ratings
8% above category average
Tableau Server
8.4
Ratings
1% above category average
Publish to Web
9.50 Ratings
9.80 Ratings
Publish to PDF
9.60 Ratings
9.70 Ratings
Report Versioning
8.60 Ratings
9.10 Ratings
Report Delivery Scheduling
8.70 Ratings
8.30 Ratings
Delivery to Remote Servers
8.80 Ratings
5.10 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Google Charts is perfectly suited for most presentations that are data oriented. There's not much of a limit on the type of table or chart you can create, and being able to integrate with Google Sheets just makes things even easier if you've already got the data stored somewhere. It works well on desktop browsers, Iphones, and Android phones. The only drawback I've been able to find is for those that prefer to have a desktop application.
Tableau Server is well suited for a data warehouse build and handling big data. Tableau data aggregation, transformation, clustering capability is powerful and easy to implement. The choice of charts and visualisation tools is outstanding. Customisation and dynamic data visualisation capability is superb. The user interface takes some time getting used to.
It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server
I would like a couple more introductory videos or a live chat option for when you run into an issue. I think this is a Google-wide problem, not only linked to Google Charts.
I have run into some issues with the Dynamic Data but also admittedly could potentially dive in deeper and investigate.
It would be great if Google Charts made it possible to integrate Google Chat into the platform.
While it took little time for our data analysts to crank out visualizations, it did take some time(longer than I expected) for our technology operations team to configure the server to share the sizes.
The server update process is rather cumbersome -- requires a full uninstall/re-install.
Again, while it took our data analysts next to no time to start creating, I've been in other organizations that have struggled with the feature-rich interface and complexity of the Tableau client. So, it requires the right personnel, with dedicated time, to fully leverage the tool.
Google Charts is a good product. It's widely supported with deep documentation and a large community. But for me, it wasn't customizable enough. When we started with simple charts, it was great, but as we got deeper and more complex, our needs outgrew the library. If I was going forward, I would choose a more barebones library with more freedom and extensibility.
It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.
Requires knowledge of Javascript, which can be difficult for a beginner. A business analyst often isn't as technically minded as a developer so collaboration is often required to produce a correct chart for the purpose required. However, the customisation capable due to this creates much better looking charts compared to other tools.
User experience is the most important factor to consider whenever considering capabilities for non-technical business users. If the learning curve is so steep business users must be advanced users to be productive, you hit the wall of diminishing returns, this is exceptionally true when it comes to analyzing data. Transforming data analysts into BI development experts shifts the focus of the analyst from analyzing data to mastering software. Tableau does a masterful job at minimizing the technology and maximizing the users understanding of their data.
Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues
While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
Google Charts has a very good documentation that we can just go in there and find the stuff we need to implement our solutions on Google Charts. Plus, if we get stuck, we can also email the support and they are very responsive. So overall, the support is very satisfying.
I think the folks that work in support are generally pretty good at what they do (when you get them on a WebEx). But the process of reporting issues to them and waiting for a response (via email only) is a hassle. I never understood why you can't just call them up and discuss the issues with them. It would take a handful of email exchanges before they would agree to a WebEx session. That was frustrating.
In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
The sales consultants do an amazing job of introducing the tool and its capabilities. They are also helpful in explaining the layout of the desktop client and its different functionality. Keep in mind that they use a sample data source (MS Excel) with a very small amount of data to show off what it can do. What you have to remember is that you are buying the tool so that you can connect to large amounts of data (and possibly blend data together from different databases).
Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either
In comparison to Microsoft Power BI, Google Charts has more ease of use for businesses who simply need a way to visually display their data from their reports. Although Power BI may be more robust in more complicated data compilation, Google Charts can still be able to do some of the basics that Power BI delivers.
Looker and Tableau are quite similar products. I think Tableau's ability to view data visually is more comprehensive. The different breakdowns in UTM level versus first touch and last touch are shown in a visual format, making it much easier to view and interpret the results. Tableau also has faster load times compared to Looker for larger datasets.