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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

(812)

Attribute Ratings

Reviews

(301-325 of 335)
Companies can't remove reviews or game the system. Here's why
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire across the whole organization in order to mesure the performance of the business and different KPIs.
  • 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
Spotfire Platform is less apropiate if we want information from Google Analytics.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire Platform is being used to find relationships between seemingly unrelated data. Currently, Spotfire is only being used by a specific department. Spotfire allows my team to provide our clients with great visuals that make the data mean something.
  • Simplicity. Spotfire is very user friendly and easy to navigate.
  • Create Details Visualization. This button is used tremendously. It allows for controlling one graph from another.
  • Manipulation. The charts and tables can be filtered and manipulated to get at the exact information you're looking for.
  • A filter ability where the date will stay current and update another filter date to always be X amount of days before.
  • The coding language isn't the easiest. I don't know if using a more well known computer language is possible.
  • The modeling features could have more notes about them.
The create details visualization button makes Spotfire well suited. It may be less suited when having to perform a lot of equations - in this case Excel may be preferred.
April 15, 2016

Good but improvable

Marco Ostorero Vinci | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The Spotfire Platform is used across the whole organization to solve any kind of needs related to data discovery and visualization.
  • Access realtime data and information
  • Integrate statistics with data analysis
  • Genearlly speaking, graphics could be improved in quality and typology
The Spotfire Platform works well with realtime on fast data stores, but is not the better choice when working with a huge quantity of data on not-so-fast repositories.
Willy Nunn | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is currently in the implementation phase across multiple departments including sales, operations (manufacturing), process engineering, human resources, and materials management. Its original install was intended as a process engineering tool to investigate data relationships in process and manufacturing data. However, it's ease of use helped us grab much of the readily available business data to help find the hidden "details behind the data". We have found that its biggest value is collaborative use in a meeting environment where multiple individuals can work and drive actions from the data interaction abilities Spotfire provides.
  • 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.
Spotfire is well suited to gain quick business value in an area where there is not a significant quantity of centralized data. Easy drag and drop importing of Excel data makes for rapid deployment in a work environment where the business is just starting to grow, and the importance of self-serve analytics is critical. This is especially true in an environment with a very lean IT work force where much of the data discovery needs to be done by the business users themselves.
April 06, 2016

Spotfire Desktop

Ryan James | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire to quickly evaluate large oilfield data sets. We gather mainly oil and gas well production and completion information pulled from IHS, drilling info, rig data and frac focus. We can quickly look at trends and cause and effects based on what different operators are doing. It has become a go to tool when building type curves and other technical materials.
  • 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.
Spotfire is great for analysis and number crunching; poor for outputting into client presentations.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire was used to provide transparency to our ERP data for marketing/sales support, purchasing, and inventory management.
  • Spotfire provides a lot of proximity to the data. I can quickly throw up a dozen different visualizations to evaluate the data from multiple perspectives, with drill-down visualizations easily created and defined by data "markings" rules.
  • My favorite is the on-demand link capability, which enables me to easily trawl through data sets (where I've pre-defined a connection.)
  • Spotfire has excellent drill-down capability. Two clicks and you have set up a secondary visualization that explores a sub-set of the data from a different perspective.
  • Spotfire has a system of markings that can define what data shows up in what visualization or circumstance. It is very handy to rapidly explore the "corners" of your data, if you will, to see the odd features or characteristics of the data.
  • Flow of data. What I mean is, I end up with these large files with a dozen tabs where I'm splitting off a chunk of data, performing calculations in a cross-table, exporting and saving it as a .csv, re-importing it, doing more calculations, and then merging these results back into another data set. And then I'm only interested in a subset of this new data, but I'm opening up the entire massive report and adding a new tab to view it.
  • Spotfire Enterprise Runtime for R. This isn't a "try-it-you'll-figure-it-out-as-you-go-along" application. At least, I never could.
  • Getting questions answered. The community, availability of experts, and easily-googled reference questions. Getting "OVER" statements correct can be tricky. Understanding how to approach a particular situation within Spotfire can be uncertain. The paid training, I thought, was excellent -- but it was relatively expensive, and (at least a year ago, maybe it's gotten better, because this has been consistent feedback) it seemed there should have been far more training freebies.
  • Spotfire is a nice all-in-one package (extraction, visualization, and heavier-hitting advanced capabilities) but we've hit a point where we want a dedicated ETL tool, and easier-to-use visualization tools for non-quant, non-analytics people. (But quantitative analysts like myself are the losers in this transition-- we really like our Spotfire!)
Spotfire excels with providing proximity to data for visual exploration by advanced analysts. For this reason I like to use it for cleaning data sets --- I'm not just relying on some summary statistics, but I can rapidly highlight the unusual data points or kink in the graph and explore with several visualizations and then look at the underlying data rows. It's also highly extensible, including a pretty impressive range of management through relatively simple IronPython scripts. In my experience, the people who prefer Spotfire are the more advanced analysts. They really like to explore what is happening and poke it from a bunch of angles. Regular business people, and simpler analysts, find it a little too complicated and not as "beautiful" in the graphics.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Spotfire to easily analyze large amounts of data, both on the accounting side and the engineering side.
  • Spotfire integrates maps and data seamlessly.
  • Spotfire is fully programmable and easily customized.
  • Spotfire makes quick work of cutting and slicing data many different ways to help us understand our data.
  • Build in some of the industry specific functions that third parties are creating and selling.
It is best suited to situations where large amounts of data exist. Small data sets are often easier to analyze in Excel.
Elisa Westlund | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used to deliver information to the sales organization and insights to the daily business.
  • 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.
Spotfire is uniquely suited for mid size companies or departments that do not have sufficient internal IT departments capable of executing an entire ERP system.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We had problem with sharing data between the management team. Usually financial statements were sent monthly via email and that was it. We decided to use Spotfire's platform to streamline the data sharing, and see more metrics that were getting lost in our systems. We basically design various visualizations in Spotfire, and run reports in our systems, save it to a shared location, and Spotfire does the rest when updating the data. Users consume the data via the Spotfire Cloud.
  • Visualizations are very nice looking and sleek.
  • A lot of different kinds of ways to import data.
  • Very nice web interface to create visualizations on the go.
  • Limited functionality on the "graphical table" visualization.
  • Hard to rename columns. It often shows the name of the column that comes on the report (Ex: Avg (Planned Hours))
  • When data is updated, sometimes it loses the formatting.
It is well suited when displaying trending data, and comparing values. You can also build very complex formulas to accomplish difficult calculations. It is not well suited to display single values, or form type of visuals. If you need to display a single value, it must be on every single row of your data set, and then take the average of that column.
William Baltrus | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We are using it to deliver a business intelligence solution to our customers for their data which resides on our platform.
  • 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.
Spotfire is very good at combining data across clients.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Right now, Spotfire is used only in our "data science" department to perform complex business analyses to see how some KPIs evolve over time; simulate impacts of slight contractual adjustments, and finding the root causes of disruptive events. We also plan to use it as a live dashboarding tool for a production environment.
  • Analyst friendly: a lot of functionalities are implemented to help analysts/developers in their work. This is a good mix between ease of use and advanced capabilities. For example, it is very easy to join data tables, to clean data, to compute new columns, and to define complex aggregations.
  • Fast: even locally, Spotfire is able to handle large amounts of data.
  • Nice looking interface: the desk top client, the web interface or the export look both professionnal and detailed.
  • The labels on the graph appear/disappear in an uncontrolled way, depending on the size - not very convenient
  • A very specific point: when adding 4 columns or more to a bar chart (for example for different aggregations), I did not find how we could change the display name on the x axis - not very convenient.

When you have small amounts of data (< 1000 lines), Spotfire might be too heavy for what you intend to do.

When you have medium amounts of data (10 000+ lines), Spotfire is great if you need some advanced computations/aggregations features. Excel pivot tables are very limited and Spotfire helps with building very advanced filters/aggregations/formulas and displays. It is also much faster, especially for join requests.

When you have large amounts of data, Spotfire can help you by provinding both complex analyses and dashboards, in a scale that Excel will never be able to catch up with.

In a nutshell : Spotfire is very useful either if you want to do advanced computations, if you need user friendly dashboards and also if you need to quickly handle a large amount of data.

March 18, 2016

Just another review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used in R&D and Internal Audit to visualize data and enable our users to do data analysis.
  • 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.
Spotfire is not suited for 'canned' report and other more rigid visualization. Spotfire is also not very 'programmable' (as opposed to BI or Tableau).
Score 2 out of 10
Vetted Review
Verified User
Incentivized
Most recently I was using Spotfire to analyze clients' data, and to prepare reports and interactive presentations to the clients. I made it part of my regular meetings with my clients to give them as much opportunity to interact with their data and my analyses. I also set them up with the web client so they could interact with the data themselves.
  • Easy to set up analyses and visualizations.
  • Easy for novices to interact with data, analyses, and visualizations.
  • Visualization software runs fast, allowing good real-time interactivity with data.
  • Engineering, marketing, sales, and customer support don't seem to be talking with one another. There were many instances where I was promised one thing and got something else, and it often took weeks to resolve--if it got resolved at all.
  • What finally killed it for me was when I did a mandatory update of the software, and the updated software introduced a bug which made it impossible for me to continue my work with one of my clients. Getting them to even acknowledge the bug was slow and painful, and it took weeks of teeth pulling before they finally admitted they have no plans to fix the bug.
I'm having such a better experience now that I've switched to Tableau. Frankly I find Spotfire more intuitive to use, but I cannot recommend it given my experiences.
March 08, 2016

Spotfire

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire was acquired to help us to create analyses and visualizations for different departments being sales, operations and finance the main ones. Examples of how we've used the tool include: a) analysis and visualizations to help us to understand the behavior and performance of our gross margins and b) visualizations that shed light on opportunities to improve our key sourcing program. In the near future the tool will start to be used by our supply chain and financial departments to create ad-hoc analyses and to automate reports that are manually generated at the moment.
  • Data extraction. The tool is very strong to connect to multiple data sources.
  • Data transformation. The tool offers great capabilities to transform data when needed.
  • Data manipulation. The tool is very good in managing large data sets.
  • Training. The training videos provided by Spotfire are related to version 6.5 even though we acquired version 7.0.
  • Visualizations. The out of the box visualizations are pretty standard and not very appealing for certain people.
In my opinion the tool can be used in pretty much any industry and department where data analysis is required.
Tuan Samidon | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
ResellerIncentivized
We are reselling Spotfire to big and medium companies by embedding it in our solutions or delivering directly to the business analysts. The main focus of Spotfire in our business is to provide a solution to replace reporting services for our customers with more interactive functionalities. In the end we chose Spotfire mainly for the costs.
  • 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 Pentaho.
It works very fine on geo marketing solutions because it uses proprietary maps sources but it falls on the embedding solutions because it doesn't provide, for example the stylesheets. On the mobile [app] it does not represent a good solution due to a lot of layout problems. A lot of competitors are covering this side very well.
March 04, 2016

Spotfire for BI - WIN

Score 10 out of 10
Vetted Review
Verified User
Incentivized
We had some key individuals in accounting and operations that were looking for a way to view and compare data from several different databases in one location and be able to enhance those results visually to appeal to the C-Level. After spending weeks looking for the right product we tried Spotfire and knew that we had found the product that would serve our needs. We started off with 1 stand alone license and quickly grew to 5 licenses. This year we will be expanding to a network model with 20+ licenses. Our C-Level was impressed with the different ways we were able to compare data and highlight the key areas that are important to them. From simple scatterplot charts to detailed heat maps, Spotfire does it all for us. Spotfire provides numerous free classes, seminars, and webinars to help you learn the program and start off quickly. We were able to hit the ground running, connect to multiple sources like our MSSQL2012 Database, a Postgre SQL DB, some Excel files, and an access DB. There is no question, if you need the business intelligence and in-depth analytics, Spotfire is the program for you.
  • Spotfire easily connects to multiple sources to pull data into a project and can be saved so you don't have to connect to those sources again.
  • Spotfire gives you plenty of templates to choose from or you can make your own visual chart.
  • Spotfire gives you plenty of options to export your data to be readable and accessible by anyone in the company.
  • We would have liked to have seen more of a tutorial or video when you open the program for the first time.
For any company that needs to gather, evaluate, and compare data from multiple departments, Spotfire is the perfect option. You can use Excel to tap into multiple sources and give a basic pie chart but the type of knowledge required to do that is not for your every day Excel user. This program can do the same thing easier, and give you drastically more options.
Brent Meyers | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
As a field consultant I deploy 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 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.)
Fantastic data reporting, discovery, and analytics tool! Basic report development and sharing is simple and clean in design. Powerful and elegant visualization reports are possible, but require some time to learn the client and produce efficient data views within your databases.
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.
Don't like the stock visualizations in Spotfire? Spotfire now has the capability to display nearly any JavaScript visualization and connect it with your data. You can interact with the visualizations in the same manner as the organic Spotfire visualizations. On top of this, text areas within a Spotfire analysis can be used to curate your data and add further interactivity.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used in one business unit of our company. The software is needed to analyze the results of long term tests on a test rig. Tests are running with 1KK iterations and the resulting values are evaluated by the Spotfire software.
  • Handle more than 100k values
  • Easy to use
  • Self-explanatory
  • Clearly arranged
  • Many different ways of presentations
  • Adjust base settings (e.g. always start with the same template)
For standard evaluations with less than 100k values Excel is faster, easier and has more possibilities. But if there are more values Excel is limited by the amount of rows. So this can only be managed by Spotfire.
February 25, 2016

SF from an R&D view

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Tibco spotfire is used by our R&D department for the visualization of complex data. It is also used to create statistical workflows by staticians and make them available for all R&D members.
  • 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.
Spotfire can be used for a lot of data but the data should be organized in the correct way to answer specific questions. The format of your data is important!
Colin McClelland | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller
Spotfire is used to create internal reports for sales and marketing efforts. It is also presented as a potential BI solution for clients.
  • Not only does Spotfire provide recommended visualizations based upon the data you want to look at, it will then build those visualizations for you, taking half the clicks as other BI tools.
  • Spotifire allows you to create detailed visualizations from multiple data sources and tables on the same page. You cannot do this with Tableau.
  • Spotfire automatically creates and populates a filter panel based on the columns of the tables you import. With Tableau you have to build each filter panel from scratch.
  • Spotire could advertise it's user community more so that more customers are aware of it.
If you only want to pay for what you currently need, are not sure how much you'll need to scale in the future (but don't want any restrictions) or if you're looking for a powerful predictive analytics engine embedded into a BI tool, than Spotfire is definitely a tool to consider. Since Spotfire's memory engine is not dependent upon Cores or Nodes (unlike Tableau), you don't have to estimate how much processing power you need or will need. You only buy what you need, and scaling as far and as wide as your organization demands is as easy as purchasing additional licenses.
Michael Soliman | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • I particularly enjoy how Spotfire enables us to triage any problems fairly quickly. We can directly connect to a database, pull in a subset of data, and then quickly create visualizations to make judgments on problem severity. For example: we can grab server response data, create a bar chart and then quickly add standard deviation and average lines to the bar chart.
  • This could just be a problem of the (fairly old) version of Spotfire we're using, but being able to directly control database chunksize would be great. The desktop client seems fairly chatty, so you really feel the network latency when you are doing a direct connection with a database across the country.
Like any tool or service you are considering for your company, always go in with the expectation that some work will be needed to integrate it in a fully utilizable way. In my experience, things rarely work "out of the box" so I recommend internal beta-testing first (if time permits, of course) to start learning about the system. During that period, you will start to see how it will really fits in your business.

One key thing to remember is that Spotfire is a great analysis tool. If your company just wants numbers in a spreadsheet format, then you might want to stick with Excel or Crystal Reports. Don't buy a solution and then spend a year looking for a problem it can supposedly solve. ;)
November 10, 2014

Insight into Spotfire

Shakeel Muhajir | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
I have helped Oil & Gas clients in implementing several Drilling, Completions, Production, Surveillance, Reserves and O & G Accounting Use Cases. Some of these analyses help users analyze near real-time data; others are previous day or weekly/Quarterly/Annual data. Data Relationships and Statistical analysis is another popular areas amongst Geologists, Engineers and Engineering Techs.
  • Enables you to visualize and analyze data.
  • Perform predictive analytics based on statiscal models.
  • Interaction with the data which enables slicing & dicing of the data based on specific requirements which can be very fluid and change from hour to hour
  • Share analyses with other team members, partners and vendors.
  • Connect to disparate data sources for analysis.
  • Run more interactive sessions/meetings without having to say, "I'll get back to you on that".
  • It's an interactive visualization and BI tool, so if you are looking to generate static formatted reports or invoices then this is probably not the tool you need.

Spotfire v6.x - Great improvement to the Map Chart. Another big improvement is being able to move parts of analysis from one dxp to another, which saves you a lot of time and enables multi-user development.

Spotfire professional v5.5 has a new architecture and built-in support for statistical modeling. There is a huge improvement in performance and broader statistical support.

September 10, 2014

Spotfire

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is scalable, flexible, intuitive and extremely fast. We were having issues with Tableau performance and decided to trial Spotfire. We noticed the difference right away, and then when I played with the analytical abilities of Spotfire, we decided that Spotfire was the way to go. It's not as eye catching as Tableau but definitely more functional. It is probably the best and fastest data discovery tool in the market.
  • Analytics
  • Data Discovery since it's fast
  • Visualization
Spotfire is excellent for high speed/real-time analytics. I love the new Spotfire Cloud platform; have it hosted on Amazon Web Services (AWS) and works really well. Statisticians will also love the product and I think of Spotfire as the next level of SPSS. There are a few visualization aspects I'd like them to improve as that's one aspect I prefer in Tableau.
Harry Gu | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • Spotfire makes it so easy to visualize a large amount of data in the graph of your choice. The filtering mechanism is simple while powerful. The interactive marking feature allows you to drill down to the data very quickly. Dynamic aggregation is really handy. All of these can be applied to one or more tabular data sets with no need of up-front dimensional modeling.
  • The architecture of the product is sound. A .net API can be used to customize existing or create new visualizations that can be deployed to Web Player and Spotfire Professional. Spotfire Server provides support for security, deployment and management of the library items and so on. Each of these server components are fully fault-tolerant and production ready.
  • For version 4.5 or earlier, the loading of the data was slow when the data set got larger. Version 5.0 or later should have made this much better, even though I didn't have a chance to use it.
  • Spotfire Server needed some polish. It was Java-based, in contrast to .net-based Web Player. The interfaces and documentation for customization and extension were poor.
  • Earlier versions did not have support for non-relational data, which was introduced in later versions.
Score 10 out of 10
Vetted Review
Verified User
We use our own tool for marketing analytics - we measure all of our campaign spend, effectiveness of program spend and integrated campaign management. We are able to tie together data from multiple outside services including Google Analytics, Google Ad Sense, Social Media Services and Salesforce.com to get a comprehensive view of how effective our marketing is performing.
  • Ability to mash up data from multiple sources simply and easily
  • Ability to interact with the data to get just the view that I need to make a better decision
  • Ability to share some or all of the analytics application with colleagues in the organization
  • None
Spotfire has transformed our company into a data driven marketing organization
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