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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Spotfire
Score 8.2 out of 10
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Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.
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Pricing
Google Charts
Spotfire
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Charts
Spotfire
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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For Enterprise engagements, contact Spotfire directly for a custom price quote.
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 …
Spotfire has an extremely large and dynamic range of visual analysis tools that can be catered for most issues or projects to create a custom analytics dashboard when compared to other tools I've used. It's multitude of available database connections allow for most …
Spotfire is stronger than other tools to built complex metrics within the tool, without needs of etl updates and query changing. It has lots of useful visualizations to deep dive data and give interesting analysis to business users. Moreover, with some studies and tests, you …
Although Spotfire has a longer learning curve, it has proven to be more practical and impactful than Tableau. We had only evaluated other tools at a high level initially, and were surprised to hear the success stories of companies moving from Tableau to Spotfire. We have found …
Because of Spotfire's robust features and capabilities, I chose it as my
preferred software. Spotfire's greater overall performance and
scalability set it apart from other software solutions. It can handle
Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create …
Spotfire is more suited for manufacturing industries with regards the huge data to process to make relevant decision that use big data for making decisions, besides this Spotfire supports more and excels at Availability & Scalability, Data Sources Connectivity and Deployment …
I choose Spotfire because of the following - custom visual using JavaScript - on the fly chart property update using iron python - easy report Deployment and update -easy to manage user access via so or ldap - best report data Extraction -mix data sources -custom data load …
Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely …
Spotfire's key strength les in extent of customization possible and it's inherent Data Analytics capabilities. With in-memory and in-database analysis capabilities, it comes out as a high performance and high efficiency BI solution. Adding to it, Spotfire integrates the …
Easy to use and is a very flexible tool. Great to have multiple services. Find it to be a trusted platform. The ability to add Iron Python scripts and include code snippets is very useful. Like the style of the created views.
I find both Microsoft Power BI and Spotfire very easy to use. I would rate them on par with each other. There isn’t much to differentiate them. Maybe the learning curve on Spotfire is a bit steeper than Microsoft Power BI.
Augmented AI with Spotfire is very useful for data virtualization. Since data visualization is a quick and very easy way to convey our information. This software makes it easier with its interactive way of presenting data in charts, graphs, and 3D forms.
It provides all tools along with in-built apps for analysis and generating reports, metrics, charts, and graphs. Comes with appropriate costing model at least for an average size organization
Spotfire is the best application for power users by virtue of its wide variety of visualizations, incorporated analytics, superior data canvas, and ability to integrate code such as R or Python. The learning curve is steeper and the menus are Windows 7 once you are past some …
The only other tool we use in my course is Tableau. Tableau is very popular regionally (Omaha, NE), runs locally on Mac and PC, is free for students and faculty, and has a web outlet for sharing. It also plays well with AWS. For these reasons, we use it as the primary …
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.
Spotfire was used to look at a large data set of an in process manufacturing step. The data visualization was set up to look at yield as a function of several inputs (chemical / equipment / operator). After only a short analysis it was immediately obvious that there was a 5% yield discrepancy based on the operator using the equipment. The operators were retrained and the yield gap was eliminated.
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.
They should have a lower price point for users to access the analyst version who don't require advanced capabilities. For example, a lower price if users just need to do some basic slicing and dicing with their data and not have to the data science functionality (ie. K-means clustering, regression modeling, classification modeling, etc.).
Currently, you can't change the font type/color on the axis, which I'm sure will eventually be available in the future as they have a Spotfire Ideas portal that they're fairly responsive to and act on. I guess at the end of the day, it's about the data and what insights you get from it.
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's a very powerful tool that allows for a myriad of customizations within the analysis files themselves, particularly with the custom expression functionality. There have been some great strides with the quality of the visualization options (which were not great to begin with) and I hope to see more improvements made as the product gets updated.
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.
Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
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.
Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
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.
Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create highly customized dashboards using the tools it provides. I will recommend this software to others
In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,
Spotfire really helped a lot of people in terms of analysis. It eliminates data analysis in excel. Because even underlying data you can explore it in Spotfire.
Spotfire helps data analysts to investigate data and also help analysts solve inconsistency of data.
Spotfire helps data analysts in building great dashboard that provide insights to users to make decisions to drive revenue and manage the churn.
