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 Desktop
Score 8.1 out of 10
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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.
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 …
As our company heavily utilizes Google products, when we first looked into the tool to help us to present our data, we were looking if we could find anything that is from Google and can satisfy our basic needs. Google Charts fit in it very well. That does not mean we are not …
Google Charts is free so it was a no brainer for our company to use. There may be other products out there that have more functionality or are easy, but they are not free.
Google Charts is great because it is free. There are not really other options that are out there that offer as much as Google Charts does without the cost, so no other software really stacks up.
I also would like to add Chart.js to the list, although it was not a searchable option. Google Charts is hard to beat, considering how effective it is, and that there's no need for an enterprise subscription. It's got basically any sort of chart or timeline or trend tracker you …
It is a reliable tool and its free version definitely stacks up against a lot of other paid versions of other software. So if you are using anything else, it is definitely worth checking out Google Charts.
Google Charts is better than any other alternative because it is free. It is a bit difficult to customize, so there may be better softwares out there depending on the complexity of what you are trying to do.
Google Charts does offer a lot of functionality and it is also free which is why it is a great choice for our team. We are always looking for free solutions that are out there.
Smartsheet integrates better with JIRA out of the box so we primarily use Smartsheet for visualisation of our Sprint breakdown. However, when reporting to higher-ups, we use Google Charts as the flexibility is far greater. We can better make visualisations that suite our …
Our teams were already using Google's G suite and as google charts simply came tagged along with it, they were more than happy to go with google charts given its capabilities. Though we have another BI solution in place but teams mostly work with google charts and export their …
Google Charts stacks up better since it is free and does not have the constant pressure for cost overruns, add-ons, annual maintenance and implementation services. The speed of using Google Charts is quick, saving users potentially weeks in getting up and going. For the …
Chart.js is another javascript alternative to Google Charts. It outputs charts in Canvas elements rather than SVG, so it's a bit easier to manipulate and make responsive.
I honestly have no used others. This was my first in my field. But I can say it's been a joy to work with and I don't see myself or my organization using any other platform or program.
I've used D3.js and Google Charts, in my opinion, is easier to use and more accessible. But D3.js is much more visually flexible and has a lot of different use cases if we compare it to this service. So I think Google Charts is suitable for dashboards and applications that …
I have not used many other software similar to Google Charts because a lot of the software I have used in the past has integrated reporting available to the customer. However, for instances where our software reporting is not accurate, we are able to use this online source to …
I definitely prefer Google Charts over Piktochart chart because of the way that it integrates with Google Sheets, Google Drive, and Google Docs. The entire G Suite is completely crucial to our operation and having an outside chart program doesn't streamline or make data …
Both power bi and Tableau Desktop has its own pros and cons. Microsoft power bi is best to work with Microsoft products. however for fast connection with diverse range of integration with data sources Tableau Desktop is best. if you are cost sensitive power bi is best option …
Tableau is more flexible than these - I liked Qlikview old version a lot but have not used the Qlik Sense etc new ones. Tableau user logic is harder to understand than Looker Studio. However it's more trust worthy. Connecting internet sources to Tableau Desktop is much harder. …
Tableau Desktop is older and just better overall. It has more capabilities and is more useful to have. I don't think you could have Alteryx as a standalone product like you can with Tableau Desktop. You'd want another bi tool.
Tableau Desktop has a more easy to use drag and drop interface and is easier to learn. It also allows greater customization of charts than Power BI. However, Tableau Desktop costs more than Power BI which is bundled into our Microsoft contract at no additional charge. Power BI …
The visualizations are far and away more powerful and it is more user friendly than Power BI. It would take 3-4 times as long to create the types of reports in Excel that I can create in Tableau Desktop and there are a slew of ways I can present the data in Tableau Desktop that …
It has a better user interface compared to Microsoft Power BI. The Tableau integration process is quite simple and clear with the third-party application whereas Power BI is not easily integrated with other tools and requires a complex process to follow for integration. DAX …
When it comes to pricing, Tableau is kinda expensive but worth it as it has more features, not just features but really useful features that make our work easier especially as a project manager I need to pull up data almost every day in our meetings, and I find Tableau useful …
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 …
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other …
Tableau Desktop provides some state of the art feature and capabilities that are just awesome. Its support, online blog, and tutorials are better than its competitors. That was the best selling point for me.
With Tableau Desktop, it's easy to create a report in the
context quickly. It allows for the seamless management of the data sources,
which is convenient for the data users. Because it is simple to use, it is
It does have a lot of potential when using Microsoft other technologies - in integration/Embedded, Visuals and connectivity to data sources. Advanced analytics is also smooth when working on python/r scripts. Automated insights are better in Tableau/Alphaa AI. NLG/NLQ - …
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 …
We decided to use Tableau Desktop as that's fairly standard in the industry, it is being taught in college, and is widely known. Tableau Desktop is nice, but in my opinion, it is VERY expensive. Unless you are really making money off of decisions, then your ROI is going to be …
Using Tableau Desktop, we have found it the most actionable and user-friendly application ever. It has the broadest range of APIs and is exceptionally user-friendly. It can handle a large amount of data and produce smooth charts quickly. For data geeks, this is the ideal stack.
When compared to Power BI, Tableau has a more flexible deployment. You can install the desktop version without having to install the SQL server. Tableau got you covered end-to-end — from collaboration, analytics, content discovery, data prep & access, down to deployment. …
Tableau Desktop is preferred over other BI software because it allows for more data visualization, storytelling, and dashboards. Microsoft Power BI may be a better option if you need to perform data modeling, however. Tableau Desktop is an excellent tool for nearly all other …
We preferred Tableau over Power BI due to its user-friendly interface and interactive GUI. Since we work with large datasets, we observed that Power BI can deal with only a limited amount of data when compared to Tableau which creates complex visualizations in a time-efficient …
Tableau Desktop is the most user-friendly and actionable application we have used in comparison to others. It has the best API connection potential along with easy start-up. They seem to always be updating the platform to solve newer problems which help keep my company up to …
We also use Power BI for small projects and teams that can't afford to pay for Tableau licenses. Tableau has more features and is more robust compared to Power BI. They also provide better and faster support compared to Microsoft. It is the standard visualization tool, but …
For databases or types of data that have high granularity and details, Tableau Desktop is better to plot and help visualize every detailed behavior with a great performance. It's engine can process a massive amount of data and generate a smooth chart without spending too much …
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.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
The Visualizations graphics are really good and the color options help in designing attractive charts. They help to convey more information and can be made interactive.
You can add filters with offer you to plug and play with values and understand different outcomes.
You can drag and drop options while creating charts and dashboards. also it is a very fluid layout.
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.
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.
Because right now its the best option out there (disclosure: I haven't used Qlikview or some of the other direct competitors of Tableau). The big investment is in Tableau Server not desktop. For the cost of the license of Tableau desktop, its a pretty good deal. You can hook it up to pretty much any data source easily. You can easily share the visualizations with your team/colleagues easily. Tableau Desktop is generally easy to use for business users. But the more advanced stuff is better suited for a analyst or someone with a IT/CS background.
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.
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
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.
The Tableau Desktop's support team has been very helpful and tend to response very quickly. After all you have paid very premium price for the product and it goes to the services. This makes using the tool much easier for these who doesn't have such experience to get help quickly.
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.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Time needs to be spent ahead of implementation to make sure data sources are set up and ready. Consultants need to understand the data sources and the goals before setting foot on-site. Installation is easy, learning to use it takes time. The training resources available are great.
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.
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other benefits is that both programmers and non-programmers can equally explore and create their own opportunities, and seamless integration is possible.
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.