- Analyzes data very quickly.
- Allows for easy manipulation of axis and plot/chart styles.
- Handles large data sets with ease.
- Formatting for presentations and output leaves much to be desired.
- The ability to customize the appearance of outputs and visualizations is lacking and severely limited, especially when trying to conform to corporate branding.
- It is missing many of the familiar functions and tools that are present in the Microsoft office suite and it could integrate better.
- Predictive analytic capabilities that are simple to execute.
- Self guided analytics for all levels of users.
- Cloud based platform simplifies delivery process, provides overall seamless insight across many departments with excellent data integration.
- Need to have Excel output options for table and cross table charts.
- Increased label options on the tree maps allowing customized series of informational display options.
- Area charts and more visual art options.
- Geo Localization. Very good because the geo mapping feautures are very strong.
- Data integration. except for mdx but it can connect directly to many datasources without any difficulty
- Data Vizualizations. With few clicks you can make a good output of a dashboard
- OLAP integration.
- Quality on the layout.
- Drive the dashboard with custom filters like Penthao.
- Visualizations are very good.
- Makes analysis and explaining to others easy.
- Filtering of data to view details of your complex data.
- Creation of workflows using R, matlab and others.
- Nice box plots. It would be great if we can export the table as a table or text. At present it can be only exported as a picture.
- It would be nice if not only maps but also biological pictures like pathways were be available.
- Analytic tools
- Go in deep from the general picture to details
- The different ways to show the data
- Configure the access to different users
- R is more powerful in statistics terms
- Freehand joins is not enough
- Connection with Google analytics should be direct
- Access native SQL Database.
- Joins to other data well.
- Provides calculated options to enhance or correct data.
- Functionality. Missing several key options.
- Documentation. Not very user friendly or specific.
- Assistance with specific data specific requirements is lacking.
- Not only does Spotfire provide recommended visualizations based upon the data you want to look at, it will then build those visualizations for you, taking half the clicks as other BI tools.
- Spotifire allows you to create detailed visualizations from multiple data sources and tables on the same page. You cannot do this with Tableau.
- Spotfire automatically creates and populates a filter panel based on the columns of the tables you import. With Tableau you have to build each filter panel from scratch.
- Spotire could advertise it's user community more so that more customers are aware of it.
- I particularly enjoy how Spotfire enables us to triage any problems fairly quickly. We can directly connect to a database, pull in a subset of data, and then quickly create visualizations to make judgments on problem severity. For example: we can grab server response data, create a bar chart and then quickly add standard deviation and average lines to the bar chart.
- This could just be a problem of the (fairly old) version of Spotfire we're using, but being able to directly control database chunksize would be great. The desktop client seems fairly chatty, so you really feel the network latency when you are doing a direct connection with a database across the country.
One key thing to remember is that Spotfire is a great analysis tool. If your company just wants numbers in a spreadsheet format, then you might want to stick with Excel or Crystal Reports. Don't buy a solution and then spend a year looking for a problem it can supposedly solve. ;)
- Enables you to visualize and analyze data.
- Perform predictive analytics based on statiscal models.
- Interaction with the data which enables slicing & dicing of the data based on specific requirements which can be very fluid and change from hour to hour
- Share analyses with other team members, partners and vendors.
- Connect to disparate data sources for analysis.
- Run more interactive sessions/meetings without having to say, "I'll get back to you on that".
- It's an interactive visualization and BI tool, so if you are looking to generate static formatted reports or invoices then this is probably not the tool you need.
Spotfire v6.x - Great improvement to the Map Chart. Another big improvement is being able to move parts of analysis from one dxp to another, which saves you a lot of time and enables multi-user development.
Spotfire professional v5.5 has a new architecture and built-in support for statistical modeling. There is a huge improvement in performance and broader statistical support.
- Spotfire makes it so easy to visualize a large amount of data in the graph of your choice. The filtering mechanism is simple while powerful. The interactive marking feature allows you to drill down to the data very quickly. Dynamic aggregation is really handy. All of these can be applied to one or more tabular data sets with no need of up-front dimensional modeling.
- The architecture of the product is sound. A .net API can be used to customize existing or create new visualizations that can be deployed to Web Player and Spotfire Professional. Spotfire Server provides support for security, deployment and management of the library items and so on. Each of these server components are fully fault-tolerant and production ready.
- For version 4.5 or earlier, the loading of the data was slow when the data set got larger. Version 5.0 or later should have made this much better, even though I didn't have a chance to use it.
- Spotfire Server needed some polish. It was Java-based, in contrast to .net-based Web Player. The interfaces and documentation for customization and extension were poor.
- Earlier versions did not have support for non-relational data, which was introduced in later versions.
- Visualization (presentation, reporting, slice and dice).
- Ability to handle large and diverse data sets.
- Customer interface.
- The analytics interface could be improved.
- Support for financial libraries and inbuilt libraries could be increased.
- Spotfire enables us to build holistic analysis platform: connection to data, basic analysis, advanced analysis, publishing of the results.
- Analysis is interactive and data is interconnected across tables.
- Easy programming of basic analysis functions.
- I would like to keep visualization parameters unchanged when I switch source table in visualization to new table and new table has the same columns.
- Information link is static. I would like to have an option to choose columns in info link interactively.
- Heavy analysis may take a lot of resources on my desktop. I would like to have an alert when too much resources are consumed in order to reduce my template to match available computing resources.
- Excellent report-building tool, particularly for data sets/sources that contain more than the Excel-maximum 1.05 million rows per sheet.
- Very simple to make calculations to data, either through predefined aggregation methods or through custom expressions.
- Visually appealing GUI, designed with end-users in mind.
- Provides a transition from Ad-Hoc-request-based data reporting to more "always on" real-time data tracking.
- Able to import data from a variety of sources, from spreadsheet files to preexisting databases.
- Details-on-Demand make it simple to drill-down to the raw data behind the visualization.
- Very difficult to remove mistakes or inconsistencies in data from calculations.
- If user has no previous experience with similar software, the learning curve is at least a month.
- Lack of an automatic Save feature is problematic in case the software crashes.
visually appealing and powerful reporting tool. It has a cleaner and
less cluttered interface than Excel, yet offers a wider variety of
customizing options, including how and what data is displayed.
Details-on-Demand and tooltips are particularly noteworthy, as they
provide a quick snapshot of the data where it may be difficult to see a
pattern or other details.
- Connects to every data source imaginable and does it quickly and efficiently, and is repeatable.
- Presents an excellent blend of out-of-the-box visualizations and complete customization. I suspect most companies (including mine) are barely scratching the surface of what's possible with scripting, property controls, etc.
- The coding for custom expressions is easy to learn for anyone comfortable writing formulas in Excel.
- Help (F1) content seems somewhat outdated at times, and the company has yet to create an effective and useful space for the community to interact (the old pre-TIBCO forums were awesome!).
- I wish there was a little more UI support and handholding for establishing & managing relationships between data tables, and for blending data sources in visualization.
- It would be nice if it were possible to edit a data table after it was created (e.g. go back change what options were selected on import).
- The colors still aren't amazing (but they get better with each release). Still a little too much focus on primary colors for default schemes.
- Visualization export still needs work. As much as I wish everyone would go to the webplayer, sometimes you need something for a static report. The canned exports are not pretty.
- Outstanding statistical underbelly based upon R without a bolt-on addition.
- Great and simple management of data and calculated/binned data columns.
- Really simple security integration and configuration with in-house ICT infrastructure.
- Very cost-effective in our experience, again much more so under the TOA for procurement compared to other platforms.
- Tooltips require significant work in their flexibility of use compared to Tableau and Qlik e.g. Cannot easily customise value formats, cannot add any custom tooltips on text area elements, cannot interact with tooltip e.g. insert a checkbox in a tooltip that you can click.
- Cannot individual style charting objects/visualisations i.e. if you dont want a line chart to have axis lines - then when setting the global themes... all axes have to be enabled/disabled - so theming is very limited and individual visualisation formatting is limited - but look and feel thankfully good out of the box so can get by on good looks... for a while.
- Printing from the web player is almost unuseable - it fails completely with a dark themed analysis.
- Inadequate session sharing - Qlik does this very well
- Hierarchies are not drill through and you must show all values at each level AND this in the levels above which makes the axes labels unreadable when all expanded. SAS VA does the drill through the best of all the BI platforms on chart viaualisations in my opinion.
- Tables are very poorly thought through. Cross tables have no deill down - all levels of the crosstable are always expanded which is hopeless for alot of data. All tables look and feel is poorly implemented - no width as a percentage, no proper dynamic auto width, no column min-width, issues with conditional formatting. But spotfire isnt alone in poorly implemented tables. And different styling features and options on each table - very inconsistent.
- Reports that take hours to refresh data can be scheduled, making them available to users on a click.
- Users can change filters on the fly, and get their answers in no time.
- One visualization can cater to different types of user roles. A Store Manager would be interested to see store level details; an area manager would want to see all stores under his area, and likewise for Region/Zone managers. We can create one visualization that shows summary based on what level users choose from drop down - store or area or region or zone.
- One can compare trending for sales of a product across all states, for example, by breaking down a visualization by state using the Trellis feature of Spotfire.
- Defining hierarchy levels in Spotfire is very easy. One doesn't need to do any dimensional modelling, or build cubes for this.
- Checkbox Filters: Filters just trigger report refresh the moment there is a change is list of values. This sometimes become painful in case of Checkbox filters. Suppose there are 10 values in a checkbox filter, and one wants to view data for only 3 out of 10 values. The moment one unchecks a value, spotfire starts loading the data. There is no way to control the loading/refresh of data only after all 7 values have been unchecked.
- The Capital Markets and Credit Loss Management areas both use Spotfire and we have proven results. Essentially we access big data from other systems like Bloomberg databases and then end users analyze this data to make business decisions. We have two or three dashboards are active for capital markets decision making.
- Spotfire can access databases and build dashboards very well. Performance is good, because the data is cached. There are also excellent statistical tools.
- Visualizations are generally good.
- Scheduling and Distribution: Tools like Business Objects or Cognos have excellent distribution mechanisms. Tibco Spotfire does not allow you to distribute a report directly. You have to first create an XML file and then distribute it. It's possible to see and open the reports, but it does not have scheduling flexibility like other tools.
- Excel Export and Enterprise support: Most people use Excel to analyze data but it's not possible to export the data to an Escel format.
- The Sum Tables. It allows great data review.
- The bar charts help show totals and easy compare by date ranges
- The map helps see the location of the data. I work with lease and mineral data.
- User manual in pdf form.
- Sometimes the program is a little advanced and I don't understand it.
- I would like to see more teaching videos linked to each type of chart styles to help explain.
- Easy to build dashboard instead of creating a metalayer unlike a universe design in Business Objects.
- This tool can be handled by various types of users (not only by developers of Spotfire), to design a few quick analytic reports.
- Analytics can be good with visualizations.
- If you know SQL you can create any db query and put it into an information link then design the dashboard upfront in Spotfire desktop.
- The server supports different databases and big data I guess.
- What I could not find here is any specific dimension or measure being defined in a Spotfire layer.
- Not sure yet - Does do the dimensional model internally or just consider the numeric as a measure and the non numeric as a dimension?
- It would be nice if this tool could generate a design of a data model after the developer has created or defined the data points in the report.
- Data visualizations are stronger in tableau than in Spotfire.
- Dashboards can be rapidly developed in Spotfire.
- If the report design needs more security and a long term consistent design of data layer then this may not be ideal.
- I do not have much knowledge in server level information/configuration and in memory practice with this tool, so I can not comment on that now.
- We are an advertising company, and Spotfire has helped our business in many ways. Its visualizations are very rich and of its data crunching abilities features have provided data insights very rapidly.
- We use it primarily to track advertising campaign performance on behalf of clients. We are able to see at a glance which are the top-performing campaigns and which are performing less well. Based on this, we can then take necessary action plan for the campaigns.
- We also use the product heavily to provide us with audience insight. We can track user impressions and clicks and re-target ads to people as they visit other websites. Ultimately we can crunch through lots of data to better understand what triggers a purchase decision.
- Tibco Spotfire is good at handling big data, but I would like to see it handling the very biggest data. Data volumes are growing as there is more and more customer analysis and segmentation information and it's important to keep up with these volumes.
- Spotfire provides a lot of proximity to the data. I can quickly throw up a dozen different visualizations to evaluate the data from multiple perspectives, with drill-down visualizations easily created and defined by data "markings" rules.
- My favorite is the on-demand link capability, which enables me to easily trawl through data sets (where I've pre-defined a connection.)
- Spotfire has excellent drill-down capability. Two clicks and you have set up a secondary visualization that explores a sub-set of the data from a different perspective.
- Spotfire has a system of markings that can define what data shows up in what visualization or circumstance. It is very handy to rapidly explore the "corners" of your data, if you will, to see the odd features or characteristics of the data.
- Flow of data. What I mean is, I end up with these large files with a dozen tabs where I'm splitting off a chunk of data, performing calculations in a cross-table, exporting and saving it as a .csv, re-importing it, doing more calculations, and then merging these results back into another data set. And then I'm only interested in a subset of this new data, but I'm opening up the entire massive report and adding a new tab to view it.
- Tibco Enterprise Runtime for R. This isn't a "try-it-you'll-figure-it-out-as-you-go-along" application. At least, I never could.
- Getting questions answered. The community, availability of experts, and easily-googled reference questions. Getting "OVER" statements correct can be tricky. Understanding how to approach a particular situation within Spotfire can be uncertain. The paid training, I thought, was excellent -- but it was relatively expensive, and (at least a year ago, maybe it's gotten better, because this has been consistent feedback) it seemed there should have been far more training freebies.
- Spotfire is a nice all-in-one package (extraction, visualization, and heavier-hitting advanced capabilities) but we've hit a point where we want a dedicated ETL tool, and easier-to-use visualization tools for non-quant, non-analytics people. (But quantitative analysts like myself are the losers in this transition-- we really like our Spotfire!)
TIBCO Spotfire excels with providing proximity to data for visual exploration by advanced analysts. For this reason I like to use it for cleaning data sets --- I'm not just relying on some summary statistics, but I can rapidly highlight the unusual data points or kink in the graph and explore with several visualizations and then look at the underlying data rows. It's also highly extensible, including a pretty impressive range of management through relatively simple IronPython scripts.
In my experience, the people who prefer Spotfire are the more advanced analysts. They really like to explore what is happening and poke it from a bunch of angles. Regular business people, and simpler analysts, find it a little too complicated and not as "beautiful" in the graphics.
- We use the product daily to proactively monitor performance of our clients. Analysts log in, and the data is automatically populated for them. This has saved us many hours of filing through spreadsheets, and lengthy queries to look at data. The graphs, the drill-downs, the functionality, and the features have grown our ability to do a lot more without adding resources.
- Excellent tool to visualize the data. The user experience is great as well, and the novice user is able to navigate with minimal training.
- The speed with large datasets is a drawback. We have large amounts of data that flow through Spotfire every day, and would like to see Spotfire process the data faster.
TIBCO Spotfire Scorecard Summary
Feature Scorecard Summary
About TIBCO Spotfire
TIBCO SpotfireⓇ is a data discovery and business intelligence tool with capabilities that range from colorful graphic visualizations for the entry-level user to in-depth statistical analysis. According to the vendor, their built in analytical engines help users utilize the results of data mining, help in-house intelligence analysts crunch proprietary numbers, and drive new business growth. The vendor also says they help anticipate opportunities and risks by seamlessly integrating predictive models and real-time event streams into user-friendly business intelligence solutions that work.
TIBCO Spotfire® Cloud provides the same business intelligence tools as Spotfire Desktop, with the addition of web authoring and unlimited sharing. Because it is software-as-a-service, it requires no installation.
Spotfire Platform is designed for larger deployments within organizations. According to the vendor, its differentiating hybrid in-memory/in-database analytics architecture supports the most demanding enterprise needs, easily scaling to thousands of users and limitless rows of data.
Spotfire is is deployed in companies in energy, financial services, manufacturing, consumer packaged goods, and life sciences industries.
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|On-premise Edition||Pricing Details||Terms|
|TIBCO Spotfire Platform||Please contact TIBCO sales|
|SaaS Edition||Pricing Details||Terms|
|TIBCO Spotfire Cloud - Monthly||$200||Per Month, Per Authoring Seat|
|TIBCO Spotfire Cloud - Annual||$2,000||Per Year, Per Authoring Seat|
|TIBCO Spotfire for Amazon Web Services||$0.99||Per Hour (Starting)|
|TIBCO Spotfire Cloud Enterprise||Please contact TIBCO sales|
For Enterprise engagements, please contact TIBCO directly for a custom price quote.
TIBCO Spotfire Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
TIBCO Spotfire Technical Details
|Deployment Types:||On-premise, SaaS|
|Operating Systems:||Windows, Linux, Mac|
|Mobile Application:||Apple iOS, Mobile Web|
|Supported Countries:||Available in all regions|