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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

(811)

Attribute Ratings

Reviews

(51-75 of 312)
Companies can't remove reviews or game the system. Here's why
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Organization usage: focused in development and operations departments.

Business Problems:
  • Visualization of operations metrics such as production tracking.
  • Data QC.
  • Prototype advanced analytical approaches.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used across the whole organization. We've connected to over 23 data sources with ease and have built corporate dashboards for drilling, completions, operations, geology, and reserves. We've also used Spotfire to build some complex Models. Spotfire Analyst users enjoy using it for slicing and dicing their data.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is widely used in my current, previous, and a few other organizations where I worked as a consultant. It helped the management and various departments to see the overall and detailed picture of their business. It helps to identify the problematic area and make necessary business decisions that help the company to better perform in a cost-effective manner. It is used by several departments. Example: Production Department was able to keep track of the overall daily production. They are able to analyze the declining curve, able to analyze production at pad level, well level, etc. Land Department was able to keep track of the various documents that their department is processing in a day. The accounting department was able to keep track of the LOE. There are several other departments that uses this product to see their overall performance of their departments. This is a great product.
Drew McMinn | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
The Spotfire product is being used by a specific department to provide clients with insights into the data that we collect for them. The collected data is customer feedback about their service, we then provide interactive reports via Spotfire to allow our clients to slice and dice the data and compare themselves to competitors.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We have Spotfire connected to on-site databases to create engineering and operations dashboards to drive actions. It is being used by departments such as equipment engineering, process engineering, yield, operations, all taking in data from a variety of data warehouses or databases and sometimes uploaded from Excel sheets where required. Spotfire is solving the business problem of helping spot what areas need action.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used in my organization for efficient analysis of various market data. It is used to represent a large volume of data in a visual way that enables us to spot new and emerging trends that can impact the bottom line of businesses in the long run. We often use advanced data visualization of Spotfire for efficient trend or pattern analysis.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
It is used to visualize new discoveries in data. It is used by our Data Science team which is lead by the Data and Analytics team at Omnitracs. It allows us to get to actionable insights more rapidly by providing clinical business users throughout the organization with unmatched speed and flexibility to address clinical safety questions.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is being used across several divisions in the organizations. In the 'unconventionals' division that deals with hundreds of rigs and tens of thousands of wells. It uses Spotfire as its go-to analytics tool. The users range from Technicians, Engineers, Geologist, Scientists, to Business Analysts. The business problems range from corporate benchmarking analyses to engineering & operations efficiency work-flows.
Bernardo J Garcia Jr, CPA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I recently used Spotfire to build a joint interest payout template to help me gauge on which properties had reached paid out the status and required to bring carried interest owners back in the deck. The company was using an antiquated system to prepare payout statements but many of the statements had errors or bad data, and there was no transparency to calculate penalty uplift charges.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Our research group is using Spotfire to find relationships between water quality parameters in water well samples taken from shallow aquifers. Spotfire displays the data very quickly, making the data review stage very efficient and allowing for multiple comparisons within minutes. It allows us to determine where we would like to go next in our research.
October 07, 2019

Spotfire fits most

Score 10 out of 10
Vetted Review
Verified User
Incentivized
We analyze and visualize our data from our production machines. Currently only selected departments use Spotfire. At the moment we produce a lot data, but do not use it. This will we change by using Spotfire and the Spotfire Server.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use it to analyze all our electrical test data. One of our most critical use cases is analyzing on wafer data. We build integrated circuits and have "wafers" with thousands of devices on them and each one has 10-15 measurements. We test multiple wafers per lot and this amount of data grows quickly! Spotfire is great to get all the data into the tool and quickly analyze it to determine yields.
June 18, 2019

Spotfire Review

Soaib Ummar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is a nice analytical tool, you can use R Python and other scripts to enhance your reporting. This tool can be used across all your departments. We use the tool across our departments and slowly all the legacy reporting is being migrated to either Spotfire or Power BI, with Spotfire being in demand. We almost add 5-10 new users daily.
Haseeb Ahmed Janjua | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Spotfire is used personally by me for the analysis and inferencing of geological data. But the results are shared with everybody in the form of presentation and publication. The interactive console or theme of Spotfire makes it easy for me to present and analyze giant oilfield geological data simultaneously.
Akos Krommer, CISA, ACDA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The solution is used by my department for data exploration, data analytics, visualization, and reporting purposes. As data analytic solution providers, we aim to know the tool as much as we can, we use it every day, for various purposes. Our main goal is to explore the different use cases the solution can solve, the various data sources the tool can connect to, and the different variations of analytical and visual methods, the tool can offer to its users. Also, we continuously evaluate the performance of the tool and compare it to other similar solutions so that we can always offer the best solution to our clients.
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