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Spotfire

Spotfire

Overview

What is Spotfire?

Spotfire® is a data visualization platform that utilizes predictive analytics. In addition to data viz, it includes data wrangling capabilities, predictive analytics, location analytics, and real-time streaming analytics. Spotfire® is a business unit of Cloud Software Group, formerly known…

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 28 features
  • Customizable dashboards (294)
    9.1
    91%
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (306)
    8.6
    86%
  • Drill-down analysis (289)
    8.3
    83%
  • Formatting capabilities (302)
    7.8
    78%

Reviewer Pros & Cons

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Video Reviews

1 video

TIBCO Spotfire Review: Translates Data To Be Visualized For More Effective Understanding
02:38
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Pricing

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Spotfire for Amazon Web Services

$0.99

Cloud
Per Hour (Starting)

Spotfire Cloud - Consumer

$250/yr

Cloud
per seat

Spotfire Cloud - Business Author

$650/yr

Cloud
per seat

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttp://spotfire.tibco.com/products/comp…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Features

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

8.3
Avg 8.2

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

8.2
Avg 8.1

Report Output and Scheduling

Ability to schedule and manager report output.

8.3
Avg 8.4

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

8.2
Avg 8.1

Access Control and Security

Access control means being able to determine who has access to which data.

8.1
Avg 8.6

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

7.3
Avg 8.0

Application Program Interfaces (APIs) / Embedding

APIs are a set of routines, protocols, and tools for used for embedding one application in another

8.3
Avg 7.9
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Product Details

What is Spotfire?

Spotfire® is a data visualization platform that aims to speed individual time to insight and spur analytics adoption across the organization. According to the vendor, Spotfire helps users quickly and easily generate insights with three new ways to support their analytical preferences: NLQ powered search, AI-driven recommendations, and direct manipulation. Users can add context with native streaming for integrated analyses of real-time and historical data, best-in-class geoanalytics, and one-click predictive analytics to go beyond basic visualizations and understand the factors driving trends and what will happen next.

The vendor states Spotfire's differentiating hybrid in-memory/in-database analytics architecture supports the most demanding enterprise needs, 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, and life sciences.

Spotfire® is a business unit of Cloud Software Group, formerly known as TIBCO Spotfire.

Spotfire Features

BI Platform Features

  • Supported: Administration via Windows App
  • Supported: Administration via MacOS App
  • Supported: Administration via Web Interface
  • Supported: Live Connection to External Data
  • Supported: Snapshot of External Data
  • Supported: In-memory data model
  • Supported: OLAP (Pre-processed cube representation)
  • Supported: Multi-Data Source Reporting (Blending)
  • Supported: Data warehouse / dictionary layer
  • Supported: ETL Capability
  • Supported: ETL Scheduler

Supported Data Sources Features

  • Supported: MS Excel Workbooks
  • Supported: Text Files (CSV, etc)
  • Supported: Oracle
  • Supported: MS SQL Server
  • Supported: IBM DB2
  • Supported: Postgres
  • Supported: MySQL
  • Supported: ODBC
  • Supported: Cloudera Hadoop
  • Supported: Hortonworks Hadoop
  • Supported: EMC Greenplum
  • Supported: IBM Netezza
  • Supported: HP Vertica
  • Supported: SAP Hana
  • Supported: Teradata
  • Supported: Salesforce
  • Supported: SAP
  • Supported: Google Analytics

BI Standard Reporting Features

  • Supported: Customizable dashboards
  • Supported: Report Formatting Templates

Ad-hoc Reporting Features

  • Supported: Drill-down analysis
  • Supported: Formatting capabilities
  • Supported: Predictive modeling
  • Supported: Integration with R or other statistical packages
  • Supported: Report sharing and collaboration

Report Output and Scheduling Features

  • Supported: Publish to Web
  • Supported: Publish to PDF
  • Supported: Output Raw Supporting Data
  • Supported: Report Delivery Scheduling

Data Discovery and Visualization Features

  • Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Supported: Location Analytics / Geographic Visualization
  • Supported: Predictive Analytics
  • Supported: Support for Machine Learning models
  • Supported: Pattern Recognition and Data Mining
  • Supported: Integration with R or other statistical packages

Access Control and Security Features

  • Supported: Multi-User Support (named login)
  • Supported: Role-Based Security Model
  • Supported: Multiple Access Permission Levels (Create, Read, Delete)
  • Supported: Report-Level Access Control
  • Supported: Table-Level Access Control (BI-layer)
  • Supported: Field-Level Access Control (BI-layer)

Mobile Capabilities Features

  • Supported: Responsive Design for Web Access
  • Supported: Mobile Application
  • Supported: Dashboard / Report / Visualization Interactivity on Mobile

Application Program Interfaces (APIs) / Embedding Features

  • Supported: REST API
  • Supported: Javascript API
  • Supported: iFrames
  • Supported: Java API
  • Supported: Themeable User Interface (UI)
  • Supported: Customizable Platform (Open Source)

Spotfire Screenshots

Screenshot of Smart Visual AnalyticsScreenshot of Geospatial AnalyticsScreenshot of Intelligent Data WranglingScreenshot of Point-and-click Data ScienceScreenshot of Real-time Streaming Analytics

Spotfire Videos

Intro to Visualizations in Spotfire
Creating a Dashboard in 5 Minutes
Spotfire Application Walkthrough
Advanced Analytics Scripting with Python and R

Spotfire Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationApple iOS, Mobile Web
Supported CountriesAvailable in all regions
Supported LanguagesEnglish, Spanish, French, German, Portugese, Chinese, Italian

Frequently Asked Questions

Spotfire® is a data visualization platform that utilizes predictive analytics. In addition to data viz, it includes data wrangling capabilities, predictive analytics, location analytics, and real-time streaming analytics. Spotfire® is a business unit of Cloud Software Group, formerly known as TIBCO Spotfire.

Tableau Desktop, QlikView, and Microsoft Power BI are common alternatives for Spotfire.

Reviewers rate Customizable dashboards highest, with a score of 9.1.

The most common users of Spotfire are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(810)

Attribute Ratings

Reviews

(151-175 of 335)
Companies can't remove reviews or game the system. Here's why
September 06, 2018

Good software

Elena Rouco Chas | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Mostly all of the departments use Spotfire right now. It’s a great tool to see the insights of the data and it’s easy to create dashboards
  • Easy to create dashboards
  • Easy to code
  • Linear optimization
  • Save automatically in case Spotfire stops working
It’s suited to create reports with large amounts of data.
September 06, 2018

Spotfire is a good tool

Elisa Andujar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
This tool provides intuitive graphs and highly customizable elements. The appearance is similar to dashboards. You can use multiple data sources. I really think it's easy to learn.
  • Multiple data source
  • Multiple graphs or visuals
  • Importing data is very easy
  • The colors can be improved
  • Some of the features are hard to find
  • Lack of documentation
Spotfire is a great tool to create dashboards. It can be a data scientist's tool as well as a tool for building visual analytics.
Kripesh Kutty | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It's being used across the enterprise. It helps different groups build their own reports and we do build reports which are viewed enterprise-wide.
  • Good user management
  • Good visualizations
  • Easier to lean and share
  • More custom visualization support
  • Something like Microsoft Power BI where they have a whole community from where custom visualizations can be downloaded and used within a few clicks. This is for users to use different visualizations other than what comes out of the box.
  • Some of the options that are used are too buried to easily locate.
Spotfire is well suited for historical data analysis and data visualization, but not well suited for the scenario that requires consolidating the data rapidly changed in a real-time manner.
September 04, 2018

Spotfire in Oil and Gas

Quang-Hoa Hong | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used within only my department to analyze oil and gas parameters pertaining to drilling, completions, and production operations as well as geological attributes. All of these values were poured into Spotfire to try and determine their relationship between well performance. Optimization on all levels of upstream operations was the purpose of Spotfire in this case.
  • Ability to look at multiple types of data at the same graph
  • Ability to post data onto a map to better visually compare them
  • Ease of use when manipulating data on a graph
  • More built-in functions for basic users to manipulate data within the software (sort of like Excel vlookups, match, and index functions)
Like all analytical tools Spotfire is dependent on the quality of data going into it. You can easily spot out discrepancies in data and correct them.
One weakness is becoming caught up in correcting data while hampering your progression.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We have 100% usage across the entire company. From analysts using the software for data analysis to business managers using the software for ad-hoc reporting — Spotfire allows for much of the commonplace requests to be fulfilled by the software — not having to resort to marketing or analysts for simple reporting.
  • Paired with the cloud version, Spotfire allows users to access the library from anyplace with an internet connection.
  • Numerous data visualization options allowing a unique and customized dashboard/.dxp. You are never stuck with the status quo.
  • Advanced level uses include — TSSS (Tibco Stastistical Services Server) to regression modeling, etc. if you can fathom it, chances are the software has the capability.
  • Open source R/TERR scripting allows the use of both propriety and open source scripting to advance and develop your .dxp/dashboard
  • Spotfire can be quite daunting upon first inspection. For the end-user especially.
  • Developers/analysts need constant interaction to ensure familiarity with the software. Enlisting in a “boot camp” is definitely recommended.
  • To the point of being too complex — a simple chart or statement in excel or access requires much more intricate and lengthy manipulation to achieve the same result.
End-user — accessing dashboards remotely without the need to contact an analyst or marketing. Analysts — can use Spotfire for real-time data — plus any applicable analysis. Less appropriate - simple end-user who is accustomed to a particular report/dashboard. I can foresee a major learning curve with Spotfire.
September 04, 2018

Spotfire after a year

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used by a variety of departments across our organization. We have deployed Spotfire as a self-service BI solution to allow users to get to their data without having to be under the constant need for IT intervention. We have also deployed Web Player, Automation Services to make the visualizations easy to share with those that need the information.
  • Spotfire offers a wide variety of data connectivity options. From simply using Excel documents to connecting to cloud sources like RedShift.
  • Spotfire has a very robust feature set not limited to just visualizations. Some data wrangling and science tasks can be performed as well.
  • Spotfire has integration with Open Source R and TIBCO Enterprise Runtime for R (TERR) through use of TIBCO Statistic Services Server (TSSS).
  • When creating visualizations there are limitations to text placement as well as text areas that have to be present. This limits the overall control of how the visualizations look.
  • Spotfire takes the approach of analysts having to wait to bring data into local PC memory first rather than producing a subset of data to begin working with. This can sometimes take a bit if you are working with millions of rows.
  • Automation services could definitely use some upgraded functionality as to how it schedules jobs.
When we work with a new team that has the desire to visualize their data, we spend about 2 hours with them and usually record the session. We ask they come with a use case in mind. Spotfire is not an immediately intuitive product so this session really helps users understand their data, the product, and set expectations for how it can be used. With this being said, you can see there is a time commitment, it's not exactly simple, but it is a powerful tool. Most people also arrive at this conclusion.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Our company has started using Spotfire across the organization to address problems with reporting, data access, dashboarding, and information consolidation.
  • Spotfire is great at creating visuals which are easily understood and interacted with.
  • Spotfire is expandable with a strong community of Java, Python, and HTML codes available to expand capability.
  • Spotfire makes updating visuals and data models a background process.
  • Spotfire's statistical visual standards aren't inline with manufacturing standards by default.
  • Spotifre is not a data entry interface without much background coding.
If you have graphs which are regularly published or reviewed Spotfire will quickly show its value. As an engineer, the ease of plotting data on an image, i.e. a ternary phase diagram, greatly improves communication across the company.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We use it to create visualizations, and it is used across the entire department. It solves issues related to direct visualization by importing data.
  • Easy visualization
  • Importing data is easy
  • Can code and make changes
  • Better visualization
  • More user modification functionality
  • Better connectivity with different datasets
Better integration with different data types
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It is being used by the operations and reservoir departments to track operational efficiency and screen nearby wells.
  • Visualizing your data--there's no better platform
  • Building custom dashboards to view your data
  • Customization of certain visualizations is not possible.
Appropriate any time you are looking at data.
Alvaro Calle Cordon | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used by a specific department in the company on a daily basis to do BI and analytics, mostly descriptive statistics and dashboards across big data sets. We have it connected with a Cloudera cluster on premise
  • Easy usage, fast in creating typical dashboarding
  • Good connection with big data bases
  • We have found problems in native connections with Amazon Athena in order to use data directly stored in S3. We had to migrate some hot data to Redshift where we experienced no problems at all
  • As a user of graphical programming libraries like Matplotlib, ggplot, and d3.js, I find limitations in creating highly customized dashboards.
If you need to do exploratory data analysis on big data, this tool is a way to go. However, you will lack some freedom if you come from programming libraries like Matplotlib, ggplot or d3.js. One of the most amazing things is the load-on-demand characteristic of Spotfire
Sudha Govindaraju | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use TIBCO spotfire to deliver visual analytics of our data and also to compare one data set to other using pictorial description.
  • Helps analyze and report findings.
  • Capability to export our analysis, so that analysis can also be read by someone who does not have the software installed.
  • Easy to use and interactive visualization.
  • Strong mobile access.
  • Lack of production reporting.
  • The look is not very customizable.
  • Expensive.
Best tool for data visualization. Spotfire has proven to be a very useful tool while presenting our data in a way that it is clearly understood by the listeners.
Gauthier Vasseur | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I work with large organizations on their data/digital transformation. Leveraging Spotfire makes the transition easy and frictionless. We need people to focus on their business goals not on the tech. Spotfire delivers the simplicity and logic that enables that. Learning curve fits within a day. Performance suits any business analytics needs. Visualization is powerful and satisfying to the users who are encouraged to do more. It is a great solution to support transformation in the digital age.
  • Short learning curve with a nice learn-by-doing dynamic.
  • Cool visualisation options that really support decision-making process.
  • Nice data preparation features to feed analytics with better data.
  • Smoother integration with D3 libraries.
  • Easier integration of R on Mac.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
I used Spotfire for educational purposes in a module context. I was satisfied from the overall experience and I liked very much the functionality the underlying software offers.
  • Easy chart creation
  • Very good recommended charts
  • Easy storytelling function
  • UI design
  • Data preprocessing features
Sales and finance visualization
August 17, 2018

Overview

Tarang Gujar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used as an important tool for data visualization techniques. Data Science team has been exclusively using the Spotfire software for data visualization for quite some now. Also the services offered by Spotfire are quite satisfying and reliable.
  • Dashboard
  • Charts
  • Visualization
  • Quite satisfying
  • Perfect
  • No improvements required
The Spotfire software is completely relevant and useful in the various data visualization techniques
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used widely in our company as a platform for creating reports not only for a single use, but also as large projects with scheduled updates. In our company, a colossal emphasis is made on data analytics and Spotfire is a significant wire in this large system.
  • Bulding interactive dashboards.
  • Wide range of connection options both JDBC and ODBC.
  • Building custom extensions (C#, IronPython ...)
  • The documentation some times needs more details, because on average I found answers on Spotfire Community pages, but not directly at the documentation.
  • Administration panel could be improved in a way, so that fewer direct interactions with servers are needed (by that I mean connecting to the server and making changes manually).
Appropriate: build a reporting system for your company based on some project data. Less appropriate: if your data set is somewhat small, then I wouldn't recommend using something as advanced as Spotfire.
August 09, 2018

Spotfire review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is currently being used by certain departments in our organization. We are using it for analytics in understanding budgeting from various departments. It gives us clear visual analytics/reports during meeting discussions. Data is taken from various databases and systems and organized in the tool. We then create pie charts, bar graphs and spot charts in the tool. Each bar graph can be edited individually and modified. This makes it much more robust than advanced Excel.
  • 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.
  • Spotfire 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.
Spotfire is well suited for creating individual reports from data across different parts of an organization. It acts as a stand-alone tool with features for analytics and reports. It is very good for business users who need to create reports themselves from raw data. There are some drawbacks when it comes to getting data from integrated or automated systems. If it can become a part of other software, it would go miles. It has great flexibilities to customize dashboards.
August 08, 2018

Spotfire New User

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Spotfire was introduced in a Johnson & Johnson town hall for data visualization. My team had the responsibility of collecting certain data and my task was to build dashboards to visualize said data. We primarily used Tableau, but we also experimented with Spotfire. It is probably being used by some teams enterprise wide.
  • Data Visualization
  • Data Analytics
  • Mobile access, Multiple Platforms
  • Lacking embedded BI and production reporting
Generally good for visualization and reporting, but not practical for Qlik users.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used by my entire organization to get insight into our data analytics. We use it primarily to gather and analyze data within our business.
  • The learning curve is very shallow and we are able to get valuable results with minimal amounts of training.
  • Spotfire is very configurable and allows us to customize it to our business needs.
  • Support for this product is done very well and really helps us solve our business challenges.
  • I'd like to see some better documentation and help features. I feel those are lacking!
  • I think the GUI looks a bit dated and I'd love to see a new look and feel to it.
In my company, I think Spotfire is well suited for analyzing my data and discovering patterns and emerging trends in our business environment. Spotfire would allow us to visualize the data in easy to use visuals and graphs/charts to help us grow our business. Spotfire fits well into our enterprise data management suite and would be a very valuable asset!
Score 7 out of 10
Vetted Review
Verified User
Incentivized
I do not know about other users within the college, but I am using Spotfire for multiple purposes. Within my department, I have used Spotfire to perform exploratory analysis on class enrollment and management. A goal of the analysis was to evaluate conflicts that would be seen by the typical student in enrollments. I am a teaching faculty member as well and am considering developing an experiment on various data analysis techniques with chemical data.
  • Spotfire can handle large datasets by design.
  • Visualizations are linked, so one view can be used to establish the critical data, but different views can be used to present and clarify the data for different stakeholder groups.
  • Because data can be integrated from different sources, recent information that may not be fully probated can be included in an analysis with established data.
  • There are times when I want to look at local data quickly, but every time I start up Spotfire it hijacks my web browser to require login to the Cloud. This design is particularly vexing if I have no internet access. I understand that this is the design, but it does not mean I have to like it.
  • Startup can be slow.
We deal with a number of situations where Spotfire is useful. There is analysis of student patterns, safety incidents, and I am interested in showing how exploratory data analysis can be performed with multiple methods. Multidimensional data has become far more prominent in current instrumentation.
Andrew Pruet | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire in many ways. Primarily, it is a fast data wrangling tool that lets you dig through and visualize data very quickly. Our team, in particular, uses it to look at oil and gas production data. In addition, we use Python and R in the backend to build more advanced applications.
  • Automating building decline curves for oil and gas wells.
  • Reading and writing to and from Oracle database with Python or information links within Spotfire.
  • Looking at competitor data across the Permian Basin. Utilizing IHS data to see every well in the Permian Basin.
  • Spotfire’s TERR and bass R are not totally compatible, especially for CRAN packages.
  • IronPython does not run transactions sequentially which can make development difficult.
  • IronPython API reference material is terrible and of virtually no use.
  • General bugs with Spotfire itself. Example: restarting Spotfire can cause certain things to start working sometimes.
Well suited: drilling through lots of categorical data that is linked to numeric data. Interactive maps. Interactive plots. Using data, analytics, and visualization in sync. Bad: lots of user inputs, heavy script development (no version control), big data (everything stored in memory and begins to lag with > 2 gigs of data loaded)
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I am using Spotfire on my own for some of the biological data analysis. I was first introduced to it at a biotech company I was involved with and since then, have on and off again used Spotfire for data analysis when Excel just won't do wither for graphic representation or analysis.
  • Excellent visualization of data in different formats
  • Strong data analysis tools beyond basic graphing and functions
  • The user interface can be overwhelming at times
  • Training and tutorials on the site can be improved by adding a more beginner section
Spotfire may be well suited in the case that you have large amounts of data to go through and you want better visualization than the graphics excel or graph-pad can offer.
Kyle Jordison | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire to analyze relationships between reservoir engineering, geological and operational data.
  • Spotfire allows quick visualization of large and often complex data sets.
  • Spotfire allows the integration of data from differing oil and gas disciplines that serves as a bridge for analysis, discussion and presentation.
  • Spotfire allows us to look for relationships in our data from different angles quite easily. If we can dream it, we can do it with Spotfire.
  • I wish that Spotfire had a better method of producing a probability distribution chart. I have been through the online workflows, but still wind up using Excel for this most of the time.
  • While I have gotten better with the Custom Expressions, it would be nice to have them simplified a bit more.
I think Spotfire is well-suited for any industry or situation. I can't think of any scenarios where it would be less appropriate.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We are using Spotfire in a manufacturing environment at our US location to serve as a single point of truth for metrics, analytics, and data. We have many disparate systems, but with Spotfire's many native connection functions, we are able to tie many different data sources together for better insights.

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.
Spotfire excels at connecting to multiple data sources and linking them together for insights that were previously unknown. It's a nice tool for data, metrics, analytics, visualizations, etc. It doesn't quite have the flexibility of Excel to make calculations across sheet easily, so some understanding and setup of your data structure must be done in preparation. Once you have the data set up in a format that's fit for Spotfire, you'll be trying to move all your reporting to it!
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is being used internally by our department, but the results generated are used throughout the organization. We are using Spotfire to generate visualizations, that helps our oil & gas engineers in the field to make better decisions.
  • Data Visulization
  • Customizable
  • Creating Data functions, which you can integrate with your visual maps.
  • Lacking embedded BI and production reporting.
  • If you don't have code correct it would jamm onto backend rather than giving errors.
  • Sometimes acts funky when you work with SQL Server.
Best suited for real-time integration monitoring. Helps in immediate decision making. Least suited- When you don't have to make complex visualizations.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use SPOTFIRE to track key business metrics across the organization. As we become more data-driven and become more versatile at putting data into context I expect us to use to use more and more of Spotfire's Data Analytics functionality. I am currently enrolled in a postgraduate course in Data Analytics and aspire to add value to my role using my Data Analytics skills and SPOTFIRE
  • Data Visualisation
  • Data Summaries
  • Data contextualisation
  • Provide the ability to add tags and metadata to time series data in order to establish latent relationships and dependencies
Good for static data sets, would like to learn more about analytics on time series data
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