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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Tableau Public
Score 9.7 out of 10
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Tableau Public is a free edition of the Desktop product. With this edition, data can only be published to the Tableau public website and does not allow work to be saved or exported locally.
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Pricing
Spotfire
Tableau Public
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Spotfire
Tableau Public
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
For Enterprise engagements, contact Spotfire directly for a custom price quote.
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More Pricing Information
Community Pulse
Spotfire
Tableau Public
Considered Both Products
Spotfire
Verified User
Anonymous
Chose Spotfire
We evaluated Power BI and Tableau 4 years ago. Power BI at that time was in its infancy, but over the last 4 years have made huge leaps of improvements. At that time, the two products weren't comparable. Tableau 4 years ago was a very strong product and the acquisition from …
In Spotfire, you generally don't have to program (write a code) for doing simple mainstream tasks. And yet you get the most effective and beautiful visualization of data.
We evaluated about 15 products when we selected Tableau 7 years ago, and periodically review products from other vendors (e.g. Microsoft, QlikView, Tibco Spotfire, Birst, Pentaho, etc.). To date, Tableau offers the widest variety of options and functionality at a reasonable …
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.
Tableau Public is great, especially if you're new to the platform or considering implementing it within an organization. The Public version has most of the capabilities of the full version, with extensive community documentation to troubleshoot issues you may run into. Additionally, there are many resources to check out Public workbooks from other users and communities: a GREAT learning resource to figure out new, innovative ways to visualize and present data. It is perfect for evaluating public datasets, for doing exploratory data analysis, or contributing to cross-organizational or extracurricular projects that may benefit from more sophisticated data analysis and exploration. Tableau Public, because it stores to the cloud and has limitations on connectivity (ie, cannot connect to SQL servers) is not suited for confidential, financial, PII, etc., data, and care should be taken to avoid including sensitive data in any of the Tableau Public workbooks used by an individual or organization.
Tableau Public can work with data that are differently formatted, such as MS Excel, .txt file, Google Sheets, not sure about MS Access.
GUI interface of Tableau Public is not that hard to start working on; Also, it can generate codes for the operations and so it is relatively easy to visualize and correct mistakes.
Lots of Tableau Public users upload their work to the online community, users can easily find very good figures/graphs that are similar to their problems and so they can use these figures/graphs as templates to modify and make their own ones.
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.
The biggest drawback to the Public version of Tableau is that any data used in the program is 'public' and therefore not secure: workbooks are saved to the cloud, rather than locally
Tableau Public limits data ingestion to 10 million rows per source
Limited connections - can't connect to SQL databases to ingest data (must be through CSV, Access, TDE, or text files)
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.
It's free, right? I'll keep using the free version. So the real question to ask is this? Will I pay $999 for the Personal version or $1,999 for the Professional? Yikes! That is a big stretch. I'm not sure about that. The product comparison chart is at: http://www.tableausoftware.com/public/comparison
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.
Tableau public is a great training tool to understand the basics of Tableau before buying it. A great tool to extend Excel's visualization and to publish data for others. Not useful for anything you need secure. No ability to access databases. Static information only.
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.
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.
Start at the end and work backward. Identify the business case / issue and questions the end users have, then identify the data needed, and where to get it.
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
Tableau public is Free and no subscription is required whereas Tableau Desktop is a paid subscription. if there is no private or confidential data it's easy to Tableau public and share reports with people. Tableau public has same features and options same as desktop. its easy for students or beginners to signup and start learning/build reports.
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.
