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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

(26-50 of 335)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Our products are built in Spotfire leveraging the TERR and Python engines that are natively supported by Spotfire. We utilize Spotfire for not only our product development, but consult on the implementation and analytics for a variety of clients using the product internally within their organizations. Business problems include analytics, machine learning, accounting/finance, and petroleum engineering workflows.
  • Machine learning
  • Advanced modeling
  • Data visualization
  • Data ingestion & ETL
  • Levels of customization for certain elements
  • HTML sanitation removal
  • Handling replacement data and the downstream impacts on data functions
Spotfire works well for handling everything from simple to highly complex and large datasets. Geospatial data works especially well, as the geospatial analytics capability afforded by Spotfire is second to none. We have migrated many workflows that were previously performed in Excel using pivot tables to within Spotfire. This has enabled us to increase efficiently and capability when analyzing new data.
Score 9 out of 10
Vetted Review
Verified User
Instead of expensive and long process of traditional DWH whose req. are often change to subject, we use SF to gather data, enrich the data, analyze and mobilize the data followed by sales forecasting
  • Speed
  • Easy of use
  • streamline admin
  • more visuals for next generation usage in mobile
  • easier big data access within one installment
Using R and python ,we have sovled complex data processing and analytic algorithms for financial statements' aging reports! it was amazing and impossible with others without doing additional hard-work
Score 7 out of 10
Vetted Review
Verified User
Incentivized
There were select programs and applications that were required to be used for an economic analysis of a large scale oil and gas development program. Spotfire, while not required, offered a significant advantage in GIS analytics.
  • GIS analytics
  • Quick multivariate analysis
  • Data presentation for management
  • Visualization
  • Data manipulation
  • User customization
  • Large Learning curve
GIS applications, quick multivariate analysis.
James Kim | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used across the whole organization for various applications. Overall, it integrates multiple sources of data to be able to spend more time analyzing rather than data manipulation. For me, I merge well, completions, reservoir, and geological data together to find trends and correlations that contribute to well performance, determine top operators, and potential areas for acquisition.
  • Absorbs vast amounts of live & static data.
  • Customized dashboards.
  • Quick results.
  • Some visualizations are a little clunky.
  • Could use some refinement in the UI.
  • Would like to see more customizable plots/charts.
  • Not being able to align gridlines with multiple scales
In my work, the ability to combine engineering, geology, and economics into one platform is powerful. In my role in A&D, I use existing dashboards that I've created to quickly get up to speed in a new basin or play as I can quickly look at where the best wells are, the best operators, and also why (completions, economies of scale, concentrated land base, own facilities, etc.). If I were to do this the "old" way, it would take weeks rather than hours or days.
July 19, 2022

Spotfire

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used as an Enterprise level Business Intelligence Platform.Our data is being fed from various different ERP's and a ETL team is transforming the data in a way it can be consumed by spotfire. During the design phase the spotfire and ETL teams come together and create a model where certain things will be handled in spotfire and most of them in the warehouse. Spotfire is a very robust tool, pulling lots of data with less columns ,makes no harm and gives ideal results.
  • Spotfire has a great Geo Analytics platform where Geo-coding is automatically performed from version 6.0 and complex geoanalytics problems can be solved in combination with the Tibco Enterprise Runtime for R (TERR) engine, if the company has R language expertise
  • Spotfire has some cool inbuilt functions available through which we do not have to do manual calculations like Total,%Cumulative Sum,YOY,MOM QOQ kind of stuff, and lots other functions which make life simpler
  • Iron python scripting is an advantage but, of course, tricky initially if you do not have experience, but it can simplify users' lives if used properly
  • Scheduled updates and caching. If we are trying to get the dashboards up in a flash , this feature is useful
  • One more important thing in the latest version, is the business author piece on the web player where business users can develop their own stuff on Web, this is a good start and hope to see this developed further
  • Spotfire is coming up with new Mobile Metrics platform, i.e. it is responsive on mobile devices
  • Also there is a new KPI chart which can be very useful for Executive reporting.
  • Customizability on the Analyst end: Spotfire is a good tool, but there are a few points where it should improve. I cannot hide an object like a tab or visualization r
  • Data Load speed at the analyst level, I somehow feel when i try to load data in the analyst level it loads slow and while using at webplayer because of the schedule updates it runs fast. I know there is the caching concept, but it is unlike QlikView whichgives a great performance with the desktop version as well. I would expect the same to happen here
Suitable Key questions to buy/use Spotfire: Do you have an enterprise data warehouse ready and are looking for a BI tool which can get you results fast with less development? Do you have a group of analyst who are good at Excel type reporting and can learn a new tool and do better reporting? Do you have a group of data analysts who want to study data to identify patterns in it? Are you looking for a tool/technology company which takes customer feedback and incorporates them into the tool quickly? Are you looking for a tool whose tech forum is increasing? Apart from the above questions, if your team has basic programming skills , they can utilize the power of Java Script/Iron Python and R language to make wonders in spotfire. Ideally any scenario is possible in Spotfire, but do not consider this as data Transformation tool, basic transformations are possible ,but typically its a reporting tool which can tell the story of your data effectively. My purpose to use the software is short development cycles sometimes overnight if data is there.
EDUARDO GRUBER | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The tool was used to replace existing tools such as QlikTech and Microsoft Power BI. There were graphical configurations of operational indicators for the entire company. A powerful analysis tool that combines our NPS/CSAT and Ticket support history and data for trends in issues and instabilities in our systems. Its query engine is extremely efficient for high-speed input data processing and also for performing Ad-Hoc queries based on demands. details our records through its extensive data visualization capabilities such as tables and graphs.
  • Data segmentation
  • Integration with the most diverse systems
  • Ease of use
  • Data filter can be improved
  • Training materials
  • Self-service training
It is recommended for any size, as it can be a recipient of data usage for better decision-making. Spotfire is independent of the industry these companies serve. It is extremely easy to build a new Spotfire dashboard being a powerful development platform to create reports and dashboards. With the features it offers, developers can implement highly customized dashboards.
March 04, 2022

Spotfire is Great

Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire mainly to display data in the form of dashboards. It is used by us to make decisions on plan changes by advising whether new production plans are realistic and in line with past performance. Various inputs can be quickly changed if the production plan isn’t realistic and then a new review of the dashboard occurs. Having unrealistic plans causes waste in the supply chain.
  • Easy to create new dashboards
  • Display data in an easy to digest form
  • Ability to change views on the fly
  • Initial Load time is slow
  • Graphs aren’t always visually appealing
  • More options for input data sources
We use Spotfire to display data for management. Management often needs information presented in different forms. In meetings with them, they will often ask for data to be arranged in contrasting modes and Spotfire allows for this to be done seamlessly and on the fly.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
Using visual analytics and discovery platform to gain insights to drive data-driven decisions real-time.
  • Extract , Transform and Load purpose
  • Data virtualisation
  • Business analytics
  • data virtualisation areas
  • interactive dashboards
We use it more for data virtualization areas, it is less appropriate for Business analytical purposes. We are highly using the Spotfire’s contextual collaboration capabilities which uniquely support our natural decision-making process—from spontaneous. A formalized workflow through a new level
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Our organization is always trying to understand our clients and serve them in the best possible way. So to achieve so we need to perform regular analysis and keep track of the business. And since this needs to be done on enterprise-level under the legitimate procedure, a lot of data need to be processed, analyzed and then processed data need to be converted into visual and easy depictions for various dashboards. So to achieve a solution for the motioned problem we have deployed the Spotfire in the place. And it's actually working above the expectations from the individual. We are having a variety of dashboards from where we are able to analyze and forecast the views to customers/clients and it's helping them to run their business efficiently and smoothly, which directly and indirectly helps my organization to get trust and obviously a lot of engagements from the client and we are very happy at our end to attract and satisfy them.
  • Data analysis and in-depth visualization
  • Generation of graphs and other visuals after analysis are quite great and efficient
  • Its support for mobile device is quite great which enables anywhere anytime access
  • Great support for dashboards which is quite promising and a prominent part in the analysis
  • Best part which makes it even more better is it supports the expression language
  • The UI is not flexible in terms of usage. So customization option should be provided so a user can set up as per requirements
  • Few features seem to be not stable for example the text editor changes the code layout on its own, so we get different things that we have saved.
  • Absorbing and consolidating data from a numerous different provider regions is very difficult to handle and as well as very slow to analyze as it takes a lot of time for visualization
Scenarios, where Spotfire is well sited, are 1. Data visualization at the enterprise level, to generate in-depth insights 2. Generate reports, charts, or graphs to represent insights in the most efficient way. 3. Plethora of apps are bundled to get analyzed results. 4. Supports a lot of languages so no need to be restricted by language boundary. 5. It supports a variety of users for example end-users, Statisticians or developers, or just business personnel to get an insight into the ecosystem. Places where Spotfire seems to be less appropriate: 1. It's quite cumbersome if the data feed is from a vast number of regions. 2. When a lot of customization seems to be a frequent call.
Alan Peterson | TrustRadius Reviewer
Score 2 out of 10
Vetted Review
Verified User
Incentivized
We have migrated away from Spotfire to Tableau and found that it does everything we needed from Spotfire at a substantially lower price and increased ease of use.
  • Ad-hoc data analysis.
  • Visualizations.
  • Data management / sharing.
  • Simplicity of installation.
  • Frequency of updates.
  • Complication of use.
Spotfire is well suited for data analysis and visualization - importing data and making it available to others on the team. It's a fine product, it's just more expensive and harder to manage than its competitors.
Score 5 out of 10
Vetted Review
Verified User
We use Spotfire to create a dashboard for our end-user. We run several simulation and ML models on other tools like SAS, store the outputs on a SQL database and present the results on a Spotfire dashboard for our internal customers. We also use Spotfire for several spot checks and quick analyses.
  • Enterprise-wide license
  • A lot of options to connect to many databases
  • Help tools
  • The UI can be simpler. Tableau is a lot simpler and neater.
  • Options for animations. Sheets like Tableau have it.
  • Options for geospatial mapping.
I think Spotfire would be very useful for a new user who is getting into data visualization. But it’s not a great tool if you want to do [anything] really complicated - need visualization experiments or dashboards. I think Tableau is a lot better. It is a lot easier and more visually appealing.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used by many business teams across our organization for reporting and visualization requirements. The dashboards serve many end users for their daily updates and business requirements. The required data comes from different data sources, and users access Spotfire to examine daily changes and impact on their business needs. Also, it allows them to download data and visualizations that can be used for presentations.
  • Easy to build reports and visualizations.
  • Simplifies the process of data federation by allowing definition of data models and information links.
  • Spotfire provides [an] easy way for end users to dig deeper and manage data.
  • Provide data lineage maps that would help developers.
  • More drag and drop functions that facilitate development efforts.
  • Need more administrative tasks such as ability to see user activity in structured manners.
Spotfire is well suited in areas where ad-hoc analysis need to be performed and results can be displayed in different visualization formats.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It is being used in three areas. Advanced Analytics, Pricing, and Marketing. Across the three business units Spotfire is an analytics tool, whereas Tableau is used for reporting dashboards.
  • It has the best coding integration (python, R) of any BI product
  • The ability to work with very large datasets (10 mil+) is better than competitors
  • Export options are more complete and have better functionality
  • The data canvas is the best tool to join and transform data vs. competitors
  • User interface is less intuitive and changes are more visual than functional.
  • Dedicated settings to build solutions for mobile would be appreciated.
  • More statistical and analytics functions would be good. The list has been static for a while.
Spotfire is a more capable analytics tool than Tableau or PowerBI, for example. It makes analysis accessible to non-analytics users and augments Excel well. It also blends data very well. The learning curve is a little steeper but otherwise it best suited for analytics professionals looking to provide visualizations to their work.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I am a faculty member in the Business Intelligence and Analytics Department, Heider College of Business, at Creighton University. I learned about Spotfire years ago when it was at Stanford and followed it's progress since then. About 5-6 years ago, I incorporated it into my graduate Business Intelligence and Analytics Visual Analytics and Visualization course (about 100 students a year, all online). While we use Tableau for the majority of the course just because it is free and easy, we do use Spotfire for 20% of the course so the students can not only see a different system, but see the power of Spotfire and how easily one can get complex but easy to understand visualizations. In my opinion, Spotfire is best of breed. We use the Cloud version only because about 70% of the students have Macs, not PCs. Even though the Cloud has less functionality than the desktop version, I feel we can still experience a great deal of the features and visuals that Spotfire offers. I always get feedback from the students that they love the product, and are thrilled to have experiences in the course with it.
  • Drill-down visual creation
  • Brushing interaction
  • Ease of use of the cloud version
  • Cloud documentation
  • Pricing for academia (ie. free) - students and faculty using it in a course
  • Mac desktop version
  • Some complex tutorials/demos
As I described in the first question, I am a long friend of Spotfire. I believe that the user experience is excellent, and that students pick it up quickly. The students in our program are all working professionals in various business and health care fields and often have experience with other visualization tools. After using Spotfire in several assignments, the comments are always positive and generally ask for more time in the course with Spotfire. Many of the charts that they had difficulty creating in with other tools, such as a Parallel Coordinate Chart, are straightforward in Spotfire. This makes a big impression.
Braeden Gilchrist | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is a powerful data analysis tool our company uses for data exploration and data visualization. Spotfire is flexible when it comes to connecting to varied data sources. Additionally, we deliver data products to our customers. On top of the data, Spotfire makes it easy to create template data visualization for our customers to analyze data on the web. These custom views can be quite complex, as Spotfire can be extended using Python, R, and JS.
  • Data connection
  • Data visualization
  • Web access
  • Change management aka GIT
  • Labels
  • Custom annotations
Spotfire is great for sharing data analysis internally between power users and report viewers. It is my go-to tool for data exploration. It might be less appropriate for multiple users working on the same project at the same time. There may be better tools for supporting external users, as deployment can take effort.
Gilberto Henriquez M. | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire in order to display a large amount of data in a user-friendly and [fast] way. This is the key of our product: visualization with data rows from 2M to 5M that load information in less than 50 seconds. We are starting to work with Predictive and R, but we are very excited about the benefits we can get with this platform. [It is] a very intuitive developer platform, and not so complex but powerful enough for most of the things. Many solutions out there have the power too, but they are not user friendly or cost effective.
  • Web player data visualization. They are pretty fast with low server requirements.
  • Visualization needs to be from this age. They look sometimes like Office 95. Maybe embedded the Jviz D3 visualization, or integration with Google visualizations.
It's less appropriate if data is not set for performance. If the data table is not set to be rows, but more columns, it is a pain to use it on Spotfire. It behaves excellently if data load fast enough. It can manage itself as a stand-alone platform but can also be integrated with others. One visualization of one variable to analyze, this is the rule on Spotfire visualizations. More than that, most of the time, is not possible.
Thomas Plumridge P.Geo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used across the company for a variety of data analytics and corporate KPI tracking. I have leveraged it extensively to help me process large volumes of data and create visualizations which can then be presented to our executive team to inform business decisions. It is also used to track our ongoing activity in our business in a series of dashboards, allowing for us to compare across the organization and be informed about where performance is exceeding or underperforming our expectations.
  • Functional dashboards which can be understood quickly by those who use them
  • Great visualizations for disparate data sets
  • Ease of integration of multiple data sets into one consolidated data table
  • Linking of standalone data tables with data pulled from an API link through information links
  • Easier mapping integration with data, especially with data of different geospatial projections
  • More functionality in spatial sampling
It is ideal for situations where you are pulling together multiple datasets and integrating them into one visualization. It does fall a bit flat for working with more than two Y-Axis sets on combination tables, where Excel is better at displaying that type of information.

It also should allow users to manually adjust the vertical axis scale as there may be reasoning in modifying it to a smaller or larger range but maintaining the same data step.

It would be ideal to enhance the ability to sort data. For example, there are instances where you want to sort data in a stacked bar chart by something other than count or alphabetically.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Across the organization by maybe ~10-20% of the overall staff (~1/3 of the engineers/geologists). Mainly being used as a visualization tool, though personally I am still getting better acquainted to it. My key thing is that a lot of what I see as its value I can also do in Excel which I am much more adept at. One key thing with Spotfire is the ability to tie to live data sources. I'm hoping to figure out ways to use Spotfire for more advanced analytics.
  • Tie to live data sources
  • customization with formulas
  • sharing work books
  • more user friendly interface
  • better customization of the asthetics of the charts etc
a dashboard to stay current on finances, industry activity.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used by most of the company. The production engineering department creates reports for the field and Executive team to use. It gives us great visibility on our daily production, LOE, costs, and production analytics.
  • Data import is easy.
  • Creating visuals is simple and straight forward.
  • You can create visuals to show exactly what you need.
  • Sometimes it can be difficult to make a formula work exactly as you need in Spotfire. I've experienced many times where a simple formula in Excel doesn't work in Spotfire. There is always something a lot more complicated that needs to be done instead.
Spotfire is very well suited for companies with lots of data they need to be able to look at quickly. It can easily be used with SQL data connections or an Excel sheet so it should be appropriate for any size company.
January 17, 2021

Basic review

Stephen DuBois, PE | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
It is currently being used in our Engineering department and we hope to expand that across other groups within our company. Our data was limited to Excel spreadsheets and this has helped to move us past this to fully utilize the data we are collecting.
  • Clean and versatile presentation of data.
  • Adding and subtracting information in analyses.
  • Some data streams should be visibly controlled (colors for gas, oil, and water) should be defaulted.
The graphing ability is impressive, as data is looked at and quickly added or subtracted.
Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used across the entire organization for implementing forecasting, data visualization, and model building. We use Spotfire because of its advanced analytics capabilities combined with its broad data visualization offerings. Perhaps the most useful aspect of Spotfire is the R Script interface, where we can use R scripts in Spotfire to create useful models and graphs.
  • Spotfire performs well for analysts that need more than just real-time data visualizations. These analysts need the ability to create advanced models.
  • Spotfire's graphs are a little bit more difficult to create than some other data visualization tools. I think this comes with the advantage of allowing the user a greater ability to customize visualizations.
  • The suggested graphs part of creating graphs is world class. It offers more than just one suggestion and makes it easy for the user to create usable graphics.
  • The software takes a while to start up. It's almost like using a Windows 7 machine with an old hard drive.
  • Sometimes creating the most aesthetically-pleasing graphic takes a long time. This is because of the many adjustments that have to be made to a graph in Spotfire. Some other visualization software makes it easier.
  • Although Spotfire has a number of advanced modeling capabilities, it would be nice to have more rather than having to build R scripts for some of the more advanced models.
Spotfire is perfectly suited for the data scientist and the financial analyst who is willing to go beyond simple accounting visuals. The data scientists get the entire range of job responsibilities, from data exploration to final model building to visualization. The financial analyst with a more technical background gets the ability to present financial data in a more unique way.
Jenna Montgomery | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used by every department in my organization, but mainly by our fundraising and operations departments. The software helps us answer important questions about our current donor base and also helps us identify locations and demographics where we could increase our donor base.
  • The location and geospatial analysis tools are excellent and are great at giving a geographical context to our data.
  • If you are familiar with BI tools, Spotfire is easy to set up and start using.
  • There are several options to visualize your data in ways that are compelling and tell a story.
  • We are a smaller organization so we always have to justify the cost (it can be a little pricey for smaller organizations).
  • Not a bad thing necessarily, but the software is so powerful that I feel like my organization is only scratching the surface with its capabilities. We need some guidance and help with the more advanced features.
  • We wish there was more robust documentation available online; it seems to be a bit lacking in certain areas.
For mapping and geospatial analysis, Spotfire is top-notch. While it does not have all of the capabilities of a complete GIS program, it does allow you to create beautiful looking maps from your data without much time or effort. It is easy to share and publish these maps so that we can use them in our reporting, marketing, etc.
October 30, 2020

Easy to use!

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is widely used by business analysts at my company for data analysis and data visualization purposes. It would especially valuable for someone who was only using Excel and/or VBA for data analysis.
  • Analytics.
  • Visualization.
  • Automation.
  • Bad documentation.
  • Small user-base.
  • Lack of available training.
The tool is well suited for data analysts or business analysts who only have been using Excel or VBA for data analysis. On the other hand, the tool is not as good as R or Python which have much better analysis capabilities.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It is used mainly within my department, which uses it as a support tool for making investigative analysis and reporting. My department also provides reports to other departments, which use such reports for consumer users. The business problems addressed by Spotfire are mainly finance, market, and process analysis.
  • User-friendliness: People with different backgrounds become expert users of the software very quickly.
  • Report management: it is very easy to amend a report modifying formulas, views, and data structures.
  • Look and feel: in a well-designed report, it is very easy to find the right insights, thanks to embedded functionalities as marking and filters.
  • Some visualizations should be more configurable and customizable.
  • Data mapping could be more efficient if represented in a graphical way.
  • Company customizations, such as logo and templates, are not immediately accessible to high-level users.
It is very well suited to tasks related to discovery analysis. It may improve in terms of static reporting and publishing.
October 27, 2020

Great product!

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used by our team to serve as a KPI dashboard for various clients to show the performance on their data using analytics. It is also being used to create new visualizations that can further highlight how the data can be viewed and further sliced into smaller chunks to be able to dive deeper into it.
  • Better Visualizations.
  • Data extraction options are easier to use.
  • Fast and slick performance.
  • Sometimes the customization features in the visualizations can be difficult to work with.
  • Data loading performance is not always the best.
  • Lack of material design and newer UI features.
Well suited for the following scenarios: KPI dashboard design -- It is very helpful in designing dashboards which highlight KPIs showing data in different forms and visualizations. Multi-page layout -- For scenarios where the data is supposed to be viewed in different pages, Spotfire can help. Slicing and dicing data to view different pivots -- Spotfire can show the data in various ways which helps in creating custom KPIs and visualization. Not well suited for the following scenarios: Flashy UI -- Spotfire does not have the design features or customization to use complex or flashy UI features. Larger datasets -- Spotfire has lagged performance when used with extremely large datasets.
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