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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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Popular Features

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  • Customizable dashboards (293)
  • Pre-built visualization formats (heatmaps, scatter plots etc.) (305)
  • Drill-down analysis (288)
  • Formatting capabilities (301)

Reviewer Pros & Cons

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Video Reviews

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TIBCO Spotfire Review: Translates Data To Be Visualized For More Effective Understanding
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TIBCO Spotfire for Amazon Web Services


Per Hour (Starting)

TIBCO Cloud Spotfire - Consumer


per seat

TIBCO Cloud Spotfire - Business Author


per seat

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visit…


  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services
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BI Standard Reporting

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

Avg 8.1

Ad-hoc Reporting

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

Avg 8.0

Report Output and Scheduling

Ability to schedule and manager report output.

Avg 8.3

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.

Avg 8.1

Access Control and Security

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

Avg 8.5

Mobile Capabilities

Support for mobile devices like smartphones and tablets.

Avg 7.9

Application Program Interfaces (APIs) / Embedding

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

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.

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


Attribute Ratings


(1-25 of 334)
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Score 10 out of 10
Vetted Review
Verified User
Spotfire is a kind of data visualization source, where multiple data sources can be connected including databases, cloud services, and spreadsheets. It supports advanced levels of analytics with the integration of R and Python, and data scientists can perform complex analyses within it. Inbuilt with features of predictive analytics tools, allowing users to create predictive models and create data-driven predictions.
  • With the help of this, a large volume of data can be handled and offered and has advanced data visualization.
  • Powerful data visualization capabilities allow users to build interactive charts, graphs, and dashboards.
  • This helps to analyze and present data effectively.
  • High cost required for licensing and maintenance, especially for smaller organizations.
  • I have realized, that it takes a lot of time to get used to a wide variety of graphs.
  • Limited data connectors.
A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.
Score 8 out of 10
Vetted Review
Verified User
We use Spotfire to analyze our business data and make better decisions. It helps us solve problems like understanding customer trends and optimizing our processes. Our use case focuses on improving efficiency and decision-making through data insights.
  • Spotfire excels at visualizing complex data, making it easy to understand trends and patterns.
  • It also helps in quick analysis and sharing insights with our team
  • Spotfire could improve in simplifying its user interface, making it more intuitive.
  • It could also enhance guidance for new users and provide more templates for quicker analysis
Spotfire shines when we need to analyze large datasets and create insightful visualizations. It's less appropriate for simple data tasks where a simpler tool would suffice.
Score 9 out of 10
Vetted Review
Verified User
At company level Spotfire is used to create various dashboards to ease day to day activities.
  • quick data insight with pre-defined figures
  • The data compression has room for improvement.
  • The usage of SPDF files can be improved
intuitive tools that help to get dashboard done in timely manner with a possibility to extend functionality using various languages
Score 10 out of 10
Vetted Review
Verified User
i use it to make fast and accurate pricing decisions being able to live link external data for commodity pricing and overlay it with my internal sequal and terra data servers.
  • geo mapping
  • chart visualization
  • easy calculated columns
  • making it easier to make pages that use the same data set have different filtering options instead of just one that makes everything move
  • more youtube videos
  • training in python and r for spotfire related querries
it is most suited for internal and external data linking to keep data continuously flowing. it is less appropriate when you have small amount of data that is not organized. it should be able to make it so you can easily transition your data into a meaningful data. it is more suited for mapping as well.
Score 10 out of 10
Vetted Review
Verified User
Spotfire is great at visualizing very large data sets. With hundreds or thousands of process inputs and outputs you can easily see correlation / causation when one part of the manufacturing process changes and the effect it has on others.

It is also easy to build dashboards to easily convey results to people with less statistically robust backgrounds.

Overall, Spotfire is an essential tool that allows for interrogating manufacturing issues and resolving them quickly with minimal effort.
  • Trend charts for QC metrics that can rapidly be filtered by process inputs
  • Yield reporting trends and grouping by process inputs
  • Dashboards for statistical analysis of process inputs as compared to historical performance
  • I would love to see a native Pareto chart visualization
  • Have an way to default a "profile" setting. For example coloring on visualizations Pass/Good should be green and Fail/Bad should be red
Spotfire was used to look at a large data set of an in process manufacturing step. The data visualization was set up to look at yield as a function of several inputs (chemical / equipment / operator). After only a short analysis it was immediately obvious that there was a 5% yield discrepancy based on the operator using the equipment. The operators were retrained and the yield gap was eliminated.
Score 8 out of 10
Vetted Review
Verified User
In our organization, Spotfire is instrumental in high-level development, particularly with field data. Conducting PoCs, Spotfire helps analyze and visualize data, uncover patterns, and assess feasibility. With its rich visualization options, we present findings effectively to stakeholders. Spotfire's capabilities enhance our ability to harness field data insights and make informed decisions for successful solution implementation.
  • Embedded Data Analysis
  • Flexibility
  • Visualizations
  • Embedded Streaming Capability
  • Pricing Model
  • Version Control
Spotfire is well suited for the quick development of PoCs and dashboarding within a DEV environment. Its user-friendly interface, extensive data connectivity options, and interactive visualization capabilities enable developers to rapidly prototype and validate ideas. Additionally, Spotfire has the ability to create interactive dashboards that empower developers to showcase their PoC results and present data-driven insights effectively within the development environment. Due to its missing version control, the productization of these dashboards is rather problematic.
Mark Edralin | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
We Spotfire in our Marketing Tech Dashboard. We build dashboards to help users understand data and come up with insights. Insights that help them take actions to help company manage their revenue and manage the churn. The Spotfire is very powerful tool especially it's ability to use simple scripting to be able to use complicated calculations like forecast, rate difference, % of Total, running % changes, etc.
  • Matrix Table or CrossTable
  • Scripting to build some complicated calculations
  • User Friendly Visualizations configurations
  • The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
  • Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
  • Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column
Spotfire is really a powerful visualization tool because it is very user friendly. The way it manages the data and allows users to build visualizations are very intuitive. So I can say Spotfire can really be used even by non-technical people like the Marketing folks. But some complex functionalities, some technical knowledge is required like coding so it becomes less appropriate for those who has zero knowledge in programming. So I guess what Spotfire has to work on is to enhance the tool in a way that those other calculations can be done by using drag-and-drop approach.
Score 10 out of 10
Vetted Review
Verified User
Spotfire is an excellent tool for yield analysis, engineering verification, and design of experiments. Every user has the option to customize the layout and tasks performed by this versatile tool. Large amounts of data is efficiently managed and can be displayed quickly in many different forms. Spotfire also is growing in terms of MODS available and scripts that are found from the robust online community.
  • Efficiently pulls large data
  • Versatile tool that is easily customizable
  • Easy to learn
  • The Iron Python scripting feels very limited
  • Better modeling tools to help with analysis
  • The annotation is too limited
  • Would love to see a method to sample the data, such as every x number of lines.
Spotfire is an excellent tool for the production environment, such as yield monitoring, process control, and long trends. It does well with drilling down marked data and provides insight into troubled lots. Its less appropriate for simple summaries for management. They get confused with the complexity of the tool; best to stick with an excel file or powerpoint.
Score 8 out of 10
Vetted Review
Verified User
I use Spotfire in my organization by creating visualizations for our data. I also create tables that are able to be queried without much user difficulty. Spotfire addresses the business problems mentioned. Other platforms do not provide the connectivity, flexibility, and options that Spotfire provides. It also allows for data from multiple different sources to join, modify, etc.
  • combine data from multiple sources
  • user friendly controls
  • various ways to manipulate data
  • process to store passwords for data could be easier
  • preview for data transformation steps does not work well (or at all at times)
  • Messages for information link errors could point out problems better
Spotfire is well suited for visualizations of data in various forms. There are multiple ways to display the data and a lot of customization available. In particular, I can overlay a line graph on multiple bar graphs and then be able to switch the data values to look at, zoom in/out, and plenty of other things.
Score 8 out of 10
Vetted Review
Verified User
As an engineer I work with millions and millions of rows of data which can be very intimidationg. With the help of Spotfire I am easily able to arrange this data within visualizations that help me understand it and draw conclusions. It is also very easy to switch between the visualizations to facilitate quick learning. The scope of my use case is daily usage with auto updated data within the tool.
  • Visaulization Sugggestion
  • Ability to set many filters
  • Great way to collaborate with
  • Documentation can be more helpful
  • Add custom property controls when importing data
  • Can be very slow as size of data grows
This is very well suited for detailed implementation of data analytics. Youc an have thousands of rows of data and with the help of spotfire you can get descriptive stats and vizualizations.

It is not as convenient for quick data analysis as the over head is too much, I prefer excel for that
Score 7 out of 10
Vetted Review
Verified User
It's used across the company for visualization and analytics.
  • Easy integration with open source R and Tibco's R.
  • Web and mobile capable.
  • Interactivity between visualizations is well designed.
  • Integration with open source Python.
  • Built-in visualization variety falls behind competitors.
For those looking to blend custom analytics and useful variety of off the shelf visualizations.
Score 6 out of 10
Vetted Review
Verified User
We first use it with an on-premise solution Now we use it through the cloud as a BI tool, to provide condition based maintenance insights, for predictive maintenance services and to provide railway operators with services related with energy consumption, drivers performance, safety related issues. We are also using it for purchase forecasting internal services.
  • big data connectivity
  • handling miliseconds
  • interactive drill down BI
  • service
  • availability SaaS
  • price
Is very well suited for condition based maintenance, predictive maintenance, material forecasting, to connect with big data great volumes use cases and very well suited to work with AWS, S3 and other cloud solutions It is not very well suited to provide service to a lot of different external clients as the "landing page" is the Spotfire one and not your solution. When having issues to solve the speed of SaaS support could be improved
Score 5 out of 10
Vetted Review
Verified User
Spotfire is used to conduct exploratory data analysis and advanced analytics. It allows us to visualize large sets of data easily with a significant speed advantage over some of its competitors (e.g. Power BI & Tableau). This tool is used across the organization by our analysts to support various organizational reporting needs.
  • Spotfire is a powerful BI Platform
  • Spotfire can easily perform data operations (ETL) within the platform and leverage existing code from R and Python
  • the suite of visualization options is extensive
  • Spotfire requires IT support for implementation
  • Spotfire requires IT support for ongoing maintenance
  • The tool navigation can be difficult to navigate
Spotfire is powerful BI tool, with strong data operations (i.e. ETL) and powerful visualizations. If you are working with a large datasets or streaming datasets, Spotfire is a great option. Spotfire also supports the ability to bring your own code from R or Python. This allows the tool to be quite versatile. This is a tool designed for Enterprises.
Score 8 out of 10
Vetted Review
Verified User
Uses cases that Spotfire adresses are condition based maintenance, predictive maintenance, descriptive analytics, material forecasting, geolocation of alarms, Monitoring the use being made of our platform both internally and with external users.
Now is also connected to our BPM and we use it as BI tool to control and monitor projects and comerciall opportunities
  • Big Data connectors
  • Treating miliseconds sígnals
  • Drill down capability or inmersive analytics
  • SaaS assistance or support in Spain could be better
  • Cost
Is very good handling Big data volumes. In our case we are talking about 14.000 signals at miliseconds frequency. Drill down capability provides a very good experience to understand where to focus the action based on the information provided to the user. The scenario in which you want to provide Service for external clients without letting them know you are working with Spotfire is not easy. Must display dashboards per client, projects, use case… through Spotfire user interface
Score 9 out of 10
Vetted Review
Verified User
There are several groups using Spotfire. In pricing team, we used it to identify outlines of costs, material purchased price, others.
  • Customize visualization reports; the ability to create a real-time data mark
  • Adverse event tracking
  • Data angling features
  • Scalable; robust tool
  • Quick and direct analysis
  • Cost
  • Handling and consumption of real-time data
  • Initial setup
  • Default properties of the solution
  • Visualization library to expand
For analysing price data and providing price recommendation, Spotfire is well suited to identify outliers.
March 17, 2023

Entry level user

Marco J. Morelli | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
We would like to use Spotfire in our Research Centre at the Hospital for a quick visualization and analysis of the data for projects which do not need the development of ad hoc methods, to be used by users without a computational background. The results were okay, although you always need to take into account the cost related to changing a workflow from what people are used to. In particular, those without a technical background were thrilled to be able to run simple analyses without having to learn how to code. A couple of years later, we decided to use Spotfire to show results to collaborators
  • Ease of use
  • Visualization
  • Communication
  • Generating figures
  • Handling of samples. We would have liked something closer to a laboratory information management system, where samples could be tracked before sequencing. Even tracking the position of a vial in a fridge/rack would be useful for us.
  • Documentation
Spotfire is well suited for environments where data analysis is standard and can be run through automated pipelines: the final results need to be showed to people who can not write or interpret the analysis details, but want to explore the results independently and put them in the context of published data.
Score 7 out of 10
Vetted Review
Verified User
It is our primary BI tool for analyzing revenue, user acquisition, web performance, and any other metrics collected for our organization. It is used primarily in the Marketing department but some dev users access it for usage metrics. It allows us to track various departmental KPIs as well as visualizing any other performance goals as required.
  • Custom calculations within visualizations.
  • Flexible data source connectors.
  • Built-in trend and statistical analysis.
  • More customization within each visualization ie. manually adjusting elements within a chart, such as labels.
  • More user-friendly automation to allow for scheduled updates of files.
  • Map-based visualizations are much harder than they need to be.
Best suited for companies or departments that require higher-level statistical calculations. It's not for BI amateurs and isn't as user friendly as some of the competition.
Score 9 out of 10
Vetted Review
Verified User
we are using Spotfire as our main reporting tool. Previously we used Business Objects, but we don’t use it anymore. With Spotfire we make daily reports about our production results, OEE, etc. Also we use Spotfire-dashboards for management. We are using it through the whole organization from CEO to Teamleader.
  • The drill down of data works very well. No static reports anymore, but fancy reports, from which you can check the details (by the drill down).
  • the relations which can be found in the data can be very helpful.
  • I find it very useful that we can make one report with several datasources underneath. (I'm used to Business Objects, you couldn't do that very easy in that too.)
  • You can make a basic report with different tabs in it, f.e. For stock and use this report as a ‘linked report’ in several other reports. So you keep your maintenance low.
  • We use often the possibility of using one report for several kind of users. = one view!
  • Spotfire reports are very ‘visual’, you can see, in one view where the deviations are.
  • The courses aren't good. No documentation and I think it's called 'robotcourses'. You get to know what you can do with Spotfire (how to click), but principles, pros and cons aren't explained.
  • Spotfire could pay more attention to the dataset, how it's best organized to get the best results from your reports.
  • It would be helpful if the course could be held in Dutch.

Making trends is very easy to do with this tool in short time.

Making a kind of reports which you can make very easily with Business Objects ( a lot of numeric values on a page, with a small lettersize) is not easy to do and it doesn't look nice. It's not 'pixelperfect'.

Dr Manan Trivedi | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
In R&D we have different departments, and we use Spotfire for our studies in the electronic Trial Master file (eTMF) department to see the cleanliness and completeness of eTMFs. We also use it to measure progress towards KPIs and targets, and to prioritize actions.
  • It's very easy to filter data you want, and what you want to see
  • Lot of visualization options
  • It's very fast
  • enabling various scripts like Python etc should be a built-in feature of Spotfire
It is well suited when you want to present visual data to management, and i would say also to end users because of details on demand and raw data.
Score 10 out of 10
Vetted Review
Verified User
We use Spotfire for staff as a cross section of users across the organization. It enables faster, simpler, and more timely reporting and analysis information sharing to those that need it daily and weekly.
  • Easy template spreadsheet reports and charting for daily consumption
  • Easy deployment of new features to users
  • Easy application updating to users when addressing bugs in the app
  • Ability to leverage emailing reports automatically for staff in office and away
  • Upgrading the product is still clunky.
  • Support website to search is poor. Google is friendlier to find what I need
  • More granularity for permissions to the library
  • Improve web player design to current web standards
For small companies, Spotfire is expensive to get into. Other players are more cost-conscious. There is a huge learning curve to start, if it's new to you.
Score 10 out of 10
Vetted Review
I use Spotfire as consulting tool for my customers. My customers want to quickly detect their problems and know the root cause. I am very sure Spotfire can meet their demands for these very fast and very efficiently.
  • Fast problem detection.
  • Visualize problems efficiently.
  • Showing patterns
  • More color recommendations.
  • Table line thickness control.
  • Automatic font change after display size change.
In the case of survey analysis, I used Spotfire for multi-dimensional analysis. My customer usually received just one-dimensional answers from the analyzer. But I analyzed/showed each question from a multi-dimensional point of view for each question. So customers could understand each question more deeply and quickly for customers' thinking.
Score 10 out of 10
Vetted Review
Verified User
Spotfire is currently being used for real-time tracking. Like other software, Spotfire is more for visualizations. At the same time those visualizations help us in picking out only related data. Currently, it is being used to address supply chain problems that most industries face - assisting them with inventory management and logistics
  • Interface has everything you need to create your desired visualization
  • Upon selecting specific parts of the visualization you get to see which data is responsible for the visuals
  • You can add multiple visuals on one page
  • Concise story telling software
  • For writing a script an additional software is required
Spotfire is well suited for storytelling, live reporting and overall a splendid dashboard
Score 8 out of 10
Vetted Review
Verified User
We use Spotfire as data visualization tool for displaying current status of our production line. With Spotfire it enable us to create dashboards with ease as it's user interface is easy to understand specialty the new version. Another thing with solve with spotfire is easy to create custom visualization and custom ui functionality using JavaScript. Another thing I like with spotfire is you can change your chart properties on the fly using iron python.
  • Custom visual
  • Data Extraction
  • Report Deployment
  • Data source type mixing
  • Need more improvement for creating formulas
  • Easier custom script integration
  • Easy data import
Spotfire is the best specially on onpremise setup. It will provide a lot of flexibility on your reporting need via it's custom visual using JavaScript, update chart property on the fly using iron python and easy to manage server user and data sources. I only don't like with spotfire is its documentation for server setup is seems not updated in some scenarios. Also some error messages during server setup is not sufficient to solve issues.
Score 9 out of 10
Vetted Review
Verified User
Spotfire is an amazing choice as a BI Analytics platform. It provides end to end solution of all Data Analytics needs, with all cutting age modern technology integrations available. It is a solution as a whole or as a small piece of implementation. It offers compete control over the components and a rich API to automate it. Developers feel empowered and are free to choose technology of their choice like TERR, Python, IronPython, JavaScript etc.; and without much learning curve they can start contributing with the help of their existing skill-set. Spotfire is a scalable, trust worthy, available and secure platform as a Summary.
  • Innovation
  • Availability of trending technology
  • Integrations with Data Science Platforms
  • Easy to use
  • Complete control over different components
  • They should introduce Python native visualizations
  • Learning Materials for basic and Intermediate level should be made free. This helps to attract and onboard new users.
  • Jupyter integration will be a great improvement.
  • There should be approach available for parallel development. For Example, Two person should be able to edit and save same dashboard if they are working with different components.
I was asked to analyze a huge distributed data set and it was no feasible to develop Data Model level that quickly. Spotfire's scripting capabilities helped a lot to convert the requirements in to a feasible requirement, it allowed to programmatically read data, dynamically transform and visualize on the fly. This was not feasible with other tools, without having a data layer established. This saved a lot of time.
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.
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