Reviews (176-200 of 303)
- Spotfire is excellent at taking multiple data sources and combining them into a single space where they can be viewed through various charts, tables, and other visualizations.
- Filtering allows the user to drill down to exactly the data that needs to be used for a specific analysis.
- The ability to add calculated columns in Spotfire allows users to combine data sets quickly and easily without having to change the source data.
- The ability to use complex formatting in certain visualizations is lacking. For example, on a line chart you can choose to make all lines solid, or all lines dashed, but not a combination of the two.
- Novice users may not realize that certain data is being filtered out of their analysis. A large symbol somewhere on the page indicating that filters are being applied may prevent incorrect analysis.
It addresses cost analysis, production surveillance, data management and exploration.
- As an agnostic platform it gives you the ability to connect to many different data sources so that you can maximize your analysis through hosting all necessary avenues of data in one location.
- Gives you the ability to drill down to uncover hidden insights within the data.
- Uses R which gives the user the ability to create models using advanced data functions to tackle complicated business problems.
- The main thing I hear [about] is the aesthetics on some of the charts because they are used to seeing it a certain way in Excel and having more control.
- Being able to modify the details that are involved in the source information.
- Multiple scales on the line chart.
- Integration of different data sources.
- Great user experience - easy to implement and use.
- I would like to have more ability to calculate things (not just trough calculated columns).
- Ability to somehow implement hard inputs for visualizations.
- Online training
- Visualization is very quick and interactive
- Connection to modeling tools such as R and SAS is very important. We need functionality to run R code out of Spotfire dashboards and read a wide range of native format files
- Server client and cloud options are very important for easy sharing of end products
- I would like better data management capabilities, e.g. ability to do joints, selection, variable transformations in a more streamlined way. Some functionality exists, but it is still somewhat limited and cumbersome.
- Ideal tool for visualization of both data and models
- Less good as standalone analytics tool; does not have powerful functionality that data scientists will need for model development
- Handles large data sets very well (ie. thousands to millions of rows of data)
- Gives users flexibility on creating the types of visualizations they can create based on what questions they ask.
- Can easily integrate with data sources, for example, connecting directly to databases.
- Makes it easy for a user to spot trends or outlying data and identify it.
- Empowers user with the ability see the data in a different way and make decisions.
- Out-of-the-box, Spotfire does not do actual data analysis well, meaning it is really not meant to be used for complex calculations of data.
- Requires a 3-tiered architecture (Oracle Database, Application Server, and thick client) for setting up.
- It does not have a strong curve-fitting engine.
One thing that has remained constant is that you need to realize it's a very expensive tool as well. Many small companies are shut out without budget. They also used to require a 3 year commitment up front, and it would of course be licensed per user, plus annual license and support for the server, database etc... not sure if this is still the case. I am fortunate not to have to worry about that.
Currently our company is using version 6.5 but will be upgrading in the near future. Tibco continues to improve on features.
- In-person training
- A new user can pick up this software, and quickly link it to an Excel workbook. From that point the software is very intuitive, and visualizations are quickly generated.
- The software can easily be taken to the next level, and allow users to create dashboards for business intelligence.
- Ultimately the software can address complex problems through the use of R scripting.
- Adding infographic functionality to allow users to create aesthetically pleasing visuals.
- Allow users to use multiple windows from the same visualization so that two computer screens can be used.
The problem that Spotfire solves is decreasing the burden in gathering actionable data so educational staff are able to make data-informed decisions about their teaching strategies in the classroom. Furthermore, accreditation standards are very data focused, and Spotfire helps us achieve those standardized at higher levels.
- Merge data from a variety sources into a single data table
- Easy user interface for the author and the end-users
- Customer technical support
- Innovation with new releases
- Filter elements added into text boxes do not have the name of the filter above them as they do in the filter menu.
- Calculated columns in the receiving table are not available as columns on which one can match during a merging process unless they were calculated using a data table transformation.
- The legend icon for graphics is hidden until you scroll over it. Inexperienced users don't know it is there.
- Handles working with large amounts of data. I access a relative small database with about 5000 records. I have to chart multiple features of the data and use Spotfire together with Access to accomplish this.
- Filter and groups data. Grouping and filtering data in charts on the fly helps make sense of data.
- Easy to update data.
- I have yet to get into using vba and programming with Spotfire. My company is a version or two behind the latest version of Spotfire and I find the training material on line for Spotfire is focused on the current version of Spotfire, so getting the examples of work with our version has been challenging.
- Online training
- In-person training
TIBCO Spotfire is being used across the whole organization. [It is] addressing inventory, delivery material, customer satisfaction, invoicing, and AP/AR issues. We are using it in all these areas and we are working on more dashboards for more areas.
As an international company for the moment we started with US and we are working on Mexico and Central America.
- Give us a fancy way to present information
- Give us a quick way to detect issues
- Give us the possibility to drill down inside the information as needed
- In the inventory side to detect materials with inventory days more that expected according the type of each material
- In the billing side, give us the visibility to know the amount to be finalized and detect the areas with more opportunities
- In the financial side, is important to know how the company (and each department) is doing against the budget and YAGO
Is well suited to analyze information and drill down the information as needed, to detect areas with issues or gains. It is user-friendly, users prefer to use this tool once they can be more productive.
Is less appropriate in the case when presented in different devices automatically (we need work on the development side).
- Online training
TIBCO Spotfire is being used company-wide within the technical department for troubleshooting analysis/process condition management.
TIBCO Spotfire has been wonderful to visualize data quickly and differently and is now essential to help troubleshoot any current issues and to prevent reoccurring issues.
- Quick to use/high visibility.
- Easy to filter out any unnecessary data.
- Easy to present data to other groups such as maintenance to resolve issues.
- Graphs are superb!
- If possible use some of Excel's formulas in the cells.
- The ability to monitor input data and if data is added, Spotfire would recognize it and alert that data is now modified.
- Security : Here we can design the row level security based on the user who logs into the system. even row level security can be build for huge data set(millions of records), By keeping actual data-table in cache we can bring live data for security table and applying restriction on already cached data(no waiting time)
- Using HTML & J-Script
- Using of Python script: All the property can be controlled thru Python scripting. with single click event we can in-work python scripts which execute dynamically.
- Doesn't support cube/Hyperion data source directly.
- In-DB connection are not flexible, wont support embedding or adding calculated columns.
- R engine for Predictive modeling is Fantastic.
- Ability to use HTML and Java Script to make dashboard like a true webpage.
- Ability to use Java scrip to build custom visualization like Speedometer.
- Over functions to Slice and Dice Data are very Efficient, Calculations columns are easy to understand and use.
- Ability to have Text area, [for example] floating text area within visualizations.
- A GUI for creating joins between tables would be good add on.
- Ability to change joins on the fly.
- Online training
- Spotfire's interactive visualizations with drill-down capability make it extremely easy to gain insight from large data sets, and deliver that same ability to business users within minimal hand holding.
- The ability of Spotfire to "mashup" data from disparate data sources creates agile analytics that can provide real business insight in a manufacturing environment (e.g. process data combined with quality data).
- The strong capability of the web based platform relative to the traditional desktop platform makes it incredibly easy to disseminate analytics across multiple user groups.
- Default visualizations and colors are visually appealing and allow for quick diving into the data rather than spending significant time fiddling with the setup to get the data to "look right".
- The help files for building custom expressions within analytics files should be significantly updated to provide better usage examples. Frequently analysts have to look externally to find answers as to how to properly parse a custom expression.
- Errors require more feedback to direct the user as to how to correct the root cause of the error.
- Visualization builder should be context sensitive to prevent selections of incompatible data, or impossible axes, etc.
- Spptfore allows our users to 'discover' data patterns and to spot trends. We use it to perform financial fraud analytics
- Spotfire allows our users to easily drill down on data across hierarchies.
- Spotfire enables us to easily prototype a certain graph and data visualization for presentation.
- Spotfire enables us to do data profiling when we don't understand the relationships between the data.
- Product installation and product management is NOT as refined as some other enterprise tools
- The 'programing interface' (e.g the formula screen, the user function screen) can be improve so that developers can easily program their code without having to strain their eyes to look for errors
- At least with the version we are using, we need improvement on database connectivity and the entire data model organization. There is no obvious way to update the data model without throwing the entire thing out of the window.
1. It would have been nice to be able to pull data directly (native driver) from Oracle for faster performance instead of using the ODBC or JDBC driver.
2. Provide a 'built-in' data staging or caching area in Spotfire so that it doesn't hit the database every time we pull or update or refresh the data. I am not referring to report caching. If you cache the raw data, you can perform many operations without hitting the database.
3. It's a pain to 'update' the data model and change a validated report if we have to change the data source. For example, there's no easy way to look up where a column is used and if we update the column, what report or data elements are going to be affected.
As a field consultant I deploy TIBCO Spotfire, develop data visualization reports/dashboards/templates, and provide on-site training and mentoring. Most of my clients use Spotfire as an enterprise reporting solution. I have also helped the vast majority of those same organizations deploy ad hoc analysis environments. The ad hoc use cases are typically inter departmental analysis projects.
Almost all of my clients select TIBCO Spotfire for it's ability to easily visualize data, merge disparate data sets, scale across an expanding enterprise, and handle data loading in a variety of methods. Additionally, I work with a large number of clinical research and life sciences firms who have read about the growing number of Spotfire extensions (custom add-ins) that are geared specially to their industry. This level of customization generates a great level of interest in Spotfire.
- Data transformation. Pivoting, un-pivoting, aggregation, and numerous other data transformations can be achieved through a simple "Information Link" GUI or through custom SQL. Additional transformations, joins, calculation expressions can be achieved within the client as well.
- Standardized visualizations. Spotfire provides all of the typical types of visualizations (bar charts, scatter plots, tree maps, geo, dashboards, etc.) in a clean standard format that is easily recognized by users.
- Strong SaaS capabilities. Strong web-player out of the box that can be embedded and manipulated in your own site.
- Robust use of data structure. Spotfire provides a range of options from importing spreadsheets to connecting to existing databases. Data can be merged within Spotfire via the GUI, pushed to the database, or return select data sets based on user actions.
- Simple web and client interface. Intuitive interface for users and visualization report developers. Visualization options are limited for the sake of standardization
- Depth of reporting capabilities. Simple enough for a casual user to develop simple reports, but powerful enough data transformation and calculation expressions to build complex reports.
- One the greatest improvements with the latest versions of Spotfire (v6 and v7) is its ability to load enormous data sets. Spotfire was already the industry leader as an in-memory data visualization tool (as well as a hybrid data on-demand method), but it now supports numerous "big-data" data connections. This allows Spotfire to push demanding data processing into the database and return only the necessary metadata to build a visualization.
- Visual user interface customization has improved dramatically with the latest Spotfire versions. Version 6 allowed for much more custom HTML/CSS/Java Script to produce unique visual solutions. Version 7 took that further by allowing a GUI (point and click) to modify nearly the entire user interface. Essentially you can alter the UI to the point that Spotfire begins to look like any webpage you like.
- Error handling. The data engine and expression builder have almost no organic error handling or troubleshooting capabilities. Program errors, while minimal, are vague and appear spontaneously.
- Training for data transformation user interface. On-site and online training for visualization report development is good, but data engine training is minimal at best.
- Flexibility of visualization design. Design options are very limited and are not as powerful as Tableau or MS Excel 2010+.
- While version 7 has provided extensive flexibility in modifying the user interface, the amount of flexibility in adjusting data visualizations is still limited.
- Auto-save or version control. There is no auto-save or automated version control. The client will crash sporadically and all work is lost since the last file save.
- Progressiveness of visualization designs. Spotfire lags behind its competitors in the range of visualization types and the options available to manipulate the current visualizations.
- Standardization of design controls. Report authoring options that you would expect to be ubiquitous are not and those that are available are sometimes found in different locations.
- Resource hog! Spotfire requires a good deal of memory, processing power, and efficiently tuned data sources. Spotfire v7 is especially demanding on memory and processing power. All versions will demand efficiently tuned in database sources. Poorly tuned databases will become a bottleneck in performance.
- Upgrading can be challenging if you have custom extensions or Spotfire reports using complex operations (eg. large in-memory data, large number of tabs, complex logic, multiple data sources merging, etc.)
The greatest strength of Spotfire is its ability to merge data from numerous data sources and easily visualize said data. Additionally, Spotfire allows several methods to load data to achieve optimal performance while also being able to analyze across data sets.
Spotfire also has multiple methods to load data into an analysis. Data can be loaded into memory, fetched from a database on demand based on a user's actions, or push all of data integration into an external data source.
Using Spotfire's Information Designer allows non-technical users to build their own queries against data bases. It also allows for central management of queries. In other words, the data and logic being used across all analyses can be centrally managed, thereby standardizing your results.
- Online training
- In-person training
Highly recommend employing the Spotfire Qualification Tool and Application Profiling Tool to test visual/data differences between Spotfire files and performance.
- We like being able to look at large data sets to analyze the data we already have.
- The mapping tool is helpful.
- Multiple tables with maps on a single visualization are very helpful.
- Map labels are very limiting when looking at a large data set. Threshold on labels should be limitless.
- Markers on maps shapes should have more options.
- Zooming in on maps should be more smooth.
- 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.
- Excellent visual design
- Create different types of graphs, spot charts and regular charts.
- Modify individual elements of a graph.
- Import data from different sources to gather data.
- TIBCO has limited integration with other software. This can be improved as it needs to become a full-fledged robust tool instead of a design replacement of Excel. One example is integration with automation tools so that it can become more functional.
- It has the potential to have more features from design to development.
- Increase APIs for integration so that it can become a part of other software. ( Excel, PPT, QTP, SEE Test)
- It can also have web-based APIs to make it very unique.
- In-person training
It addresses the problem of having to "hunt and search" for data. Many of our users are staff members who do not frequently use all of our systems but might need data from each of them. Spotfire gives a "one-stop shop" and common interface that makes it easy for the users to access to drill down to the data they need on the fly when putting together presentations, or deep dive analysis.
- Connecting to a variety of data sources; basically no matter what your backend systems are (from Excel to huge ERPs and data lakes), Spotfire can connect to it and provide suggestions as to the best way to visualize your data
- Ability to quickly slice and dice data and save that "view" as a bookmark. Not only are users quickly able to access data and filter just what they need, they can save a particular set of filters or "view" via the bookmark function so the need to create multiple views with the same dataset isn't necessary by the analyst.
- Quick and easy to design and publish. Basically, if you have a dataset, Spotfire can quickly visualize it for you. It's possible to embed data if you have large datasets for performance or connect directly to a backend system to get real-time data.
- Using community suggestions or ideas to quickly implement features. Simple things like using calculated values in other expressions would give designers lots of flexibility without having to do lots of data massaging and setup where source systems might not communicate together very well.
- Automation for updating data tables in the cloud environment. This is possible with an on-premise solution, but we need the ability to FTP or transfer files to the cloud services and have a schedule to refresh updated files.
- More flexibility over visualization design options. Need the ability to sort bars by value when they are in a hierarchy. Need to be able to stack bars when using two data sources. Need more functionality around colors and conditions/expressions.
TIBCO Spotfire Scorecard Summary
Feature Scorecard Summary
About TIBCO Spotfire
TIBCO Cloud Spotfire® provides the same business intelligence tools as Spotfire Desktop, with the addition of web authoring.
According to the vendor, Spotfire's 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 deployed in companies in financial services, energy, manufacturing, consumer packaged goods, government, travel & logistics, helathcare, life sciences and more.
TIBCO Spotfire Screenshots
TIBCO Spotfire Videos (4)
TIBCO Spotfire Downloadables
TIBCO Spotfire Integrations
TIBCO Spotfire Competitors
- Has featureFree Trial Available?Yes
- Has featureFree or Freemium Version Available?Yes
- Has featurePremium Consulting/Integration Services Available?Yes
- Entry-level set up fee?No
|On-premise Edition||Pricing Details||Terms|
|TIBCO Spotfire Platform||Please contact TIBCO sales|
|SaaS Edition||Pricing Details||Terms|
|TIBCO Cloud Spotfire - Analyst||$125/mo, $1250/yr||Per Seat|
|TIBCO Cloud Spotfire - Business Author||$65/mo, $650/yr||Per Seat|
|TIBCO Spotfire for Amazon Web Services||$0.99||Per Hour (Starting)|
|TIBCO Spotfire Cloud Enterprise||Please contact TIBCO sales|
|TIBCO Cloud Spotfire - Consumer||$25/mo, $250/yr||Per Seat|
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|
|Supported Languages:||English, Spanish, French, German, Portugese, Chinese, Italian|