Better and faster analytics on your finger tips.
We heavily rely on Spotfire in our organization for business intelligence requirements. It has been verified that this is an incredibly …
Starting at $0.99 Per Hour (Starting)
View PricingOverview
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…
Recent Reviews
How Spotfire Differs From Its Competitors
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
- Customizable dashboards (294)9.191%
- Pre-built visualization formats (heatmaps, scatter plots etc.) (306)8.686%
- Drill-down analysis (289)8.383%
- Formatting capabilities (302)7.878%
Reviewer Pros & Cons
Video Reviews
1 video
TIBCO Spotfire Review: Translates Data To Be Visualized For More Effective Understanding
02:38
Pricing
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
Features
Return to navigation
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
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.
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
Spotfire Videos
Intro to Visualizations in Spotfire
Creating a Dashboard in 5 Minutes
Spotfire Application Walkthrough
Advanced Analytics Scripting with Python and R
Spotfire Integrations
Spotfire Competitors
Spotfire Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | Apple iOS, Mobile Web |
| Supported Countries | Available in all regions |
| Supported Languages | English, Spanish, French, German, Portugese, Chinese, Italian |
Spotfire Downloadables
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.
Reviewers rate Customizable dashboards highest, with a score of 9.1.
The most common users of Spotfire are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(811)Attribute Ratings
- 8.3Likelihood to Renew
- 9Availability
- 7.1Performance
- 8Usability
- 8.7Support Rating
- 8.8Online Training
- 7.3In-Person Training
- 8Implementation Rating
- 7.1Configurability
- 7Product Scalability
- 7Ease of integration
- 5Vendor pre-sale
- 5Vendor post-sale
- 8Data Visualization
- 9.3Data Sources
- 8.2Data Sharing and Collaboration
- 4Tibco Spotfire Smart Recommendations
- 8Tibco Spotfire Data Wrangling
- 6Tibco Spotfire R Engine
- 8.1Tibco Spotfire Mapping
Reviews
(1-3 of 3)Companies can't remove reviews or game the system. Here's why
October 22, 2022
Powerful, Efficient and Customizable Data Analytcs
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.
N/A
N/A
N/A
N/A
90%
9.0
97.5%
9.8
80%
8.0
86.66666666666666%
8.7
100%
10.0
76.66666666666667%
7.7
75%
7.5
- It is costly, so not suitable for small scale implementations.
- Dashboards are as good as the developer, so need experience to get most out of it
- You need to be on Spotfire 11 at least to implement out of the box visualizations
- Integration with Python and R is a game changer, it comes very handy to onboard data scientists without much hassle
- performance is exceptionally well.
- Secure
- Online Training
- In-Person Training
I was able to explore some untouched areas this platform like Expression Shortcuts, Mods Development, Data Functions tips and tricks etc.
Also, Spotfire training helped to save a lot development time by demonstrating the shortcuts present in system. I was able to understand some nice features like in-built predictive algorithms, classification and clustering approaches etc.
Also, Spotfire training helped to save a lot development time by demonstrating the shortcuts present in system. I was able to understand some nice features like in-built predictive algorithms, classification and clustering approaches etc.
I have been using Spotfire with some of other Spotfire and TIBCO products too, like Spotfire Data Science and TIBCO Data virtualization. These products are well supported by Spotfire and they come with native integration. For example, TDV needs no specific setup before starting with Spotfire as there is a native connector. Also, as the both products have same vendor - we do not face challenges related to product support.
Spotfire's key strength les in extent of customization possible and it's inherent Data Analytics capabilities. With in-memory and in-database analysis capabilities, it comes out as a high performance and high efficiency BI solution.
Adding to it, Spotfire integrates the Python and TERR engines very effectively to implement out of the box solutions seamlessly. Unlike Power BI and Tableau ; you don't need any separate Python/R instance configured to play with these Data Science technologies.
it is more like a Visual Data Science Platform.
Adding to it, Spotfire integrates the Python and TERR engines very effectively to implement out of the box solutions seamlessly. Unlike Power BI and Tableau ; you don't need any separate Python/R instance configured to play with these Data Science technologies.
it is more like a Visual Data Science Platform.
TIBCO Spotfire Cloud Analyst approach is definitely something great for small and mid sized organizations. To start with any kind of on-premises setup, the organization spend a lot of time and money in achieving economies of scale. They make actual benefits only when they scale at large. However, with the introduction of Cloud capabilities, they can start their data analytics journey almost immediately. Adding to it, they need not to worry about Administration cost and related overhead.
Honestly, as an end user - there will not be much difference. For developers, only a slight changes were there to deal with. We migrated from on-premises structure to hybrid cloud and experience was not much different for usage and performance.
However, the real impact was on availability part. The platform availability was a challenging task in old setup as taking care of usage, optimization of load and uptime is costlier to run. Cloud is very flexible and always available to serve.
However, the real impact was on availability part. The platform availability was a challenging task in old setup as taking care of usage, optimization of load and uptime is costlier to run. Cloud is very flexible and always available to serve.
Yes, we were able to do so. Challenging part was adaptation of newer cost model.
In on-premises approach, we needed to incur a heavy investment in initial phase of establishment only and needed to spend time to achieve economies . Also, the operations was difficult because regardless of analysis is being used or not, we are investing resources into it.
With cloud structure, the charges do increase with usage. So idle resources do contribute to a very little impact. Though there are challenges for some services like Scheduled update are still in force, but overall we are in win-win situation.
In on-premises approach, we needed to incur a heavy investment in initial phase of establishment only and needed to spend time to achieve economies . Also, the operations was difficult because regardless of analysis is being used or not, we are investing resources into it.
With cloud structure, the charges do increase with usage. So idle resources do contribute to a very little impact. Though there are challenges for some services like Scheduled update are still in force, but overall we are in win-win situation.
I would say, they were mostly there; not completely. When we adapt to the new structure, the costs do shoot up with usage at scale. Whatever we were saving on hardware, we ended up investing in services.
Functionality wise, Cloud delivered access and availability; but we had to sacrifice some features too. For example, in Cloud Analyst - we cannot run most of the scripts.
Functionality wise, Cloud delivered access and availability; but we had to sacrifice some features too. For example, in Cloud Analyst - we cannot run most of the scripts.
- Low cost to start
- High Availability
- Ease to develop analytics solution
Spotfire is great at customer support part. The only recommendation is, use LTS rather than MS versions for better ongoing support. This way you will have a continued quality of service from them. They are reachable and prompt, however the difference of time zone need to he addressed. There is a lot of wait time involved un-necessary.
Though there were lot of recommendations were taken up, but not the all required. For example, version for IronPython is still set to 2.7 which is based on Python 2 paradigm. This involves a learning curve for script developers. Need was to adopt a unified standard for all tech in bracket e.g. Python Data Function and IronPython in similar syntactical structure at least.
There are lot of requests on customization side are still long awaited.
There are lot of requests on customization side are still long awaited.
- Data Democracy - Freedom to select the view of data with no code
- Python Data Function for Out of the Box implementations
- Chatbots in Spotfire
Yes
Tableau was replaced by Spotfire, as it needed a complex Data to Dashboard architecture. The Data needed to be prepared separately for reporting and that process took a lot of time to reach our final goals. The time to production was slower, as we needed to wait for data to be prepared first. Also, using different products at each step was painful.
- Product Features
- Product Usability
- Prior Experience with the Product
Performance, Customization and Control over the tool were the key players in the decision. Spotfire was flexible to cater the codes developed earlier with Python and R script; without loosing their utility. Also, it was easier to transition capabilities between systems. For example, We had a Python code for data extraction and transformation and Visualization was getting out of hands. At this moment, we were able to transfer the completed chunks to Spotfire and let the tool handle visualization part of it.
The process was very satisfactory though, still if we have to reconsider this - it will be better to evaluate the prices across different offerings. For example, Spotfire in AWS was a good choice from price and implementation point at start, but as the size and scale went up; we were able to realize that AWS was growing costlier very soon. On-Premise implementation is costlier at start, but becomes cost effective at large scale.
In short, while considering cost; consider cost over the time rather than cost at the time.
In short, while considering cost; consider cost over the time rather than cost at the time.
July 21, 2022
Spotfire: quick and easy GIS data visualization
There were select programs and applications that were required to be used for an economic analysis of a large scale oil and gas development program. Spotfire, while not required, offered a significant advantage in GIS analytics.
- GIS analytics
- Quick multivariate analysis
- Data presentation for management
- Visualization
- Data manipulation
- User customization
- Large Learning curve
N/A
N/A
N/A
N/A
20%
2.0
35%
3.5
30%
3.0
60%
6.0
N/A
N/A
N/A
N/A
N/A
N/A
- Positive: I was able to present significantly more data in a minimalist and streamlined way.
- Self-taught
It was probably more inefficient than formal training would have been, however the basic functions of spotfire are easy to pick up on.
No.
Spotfire is a more streamlined version of Power BI. I would prefer Spotfire over this competitor.
The Spotfire cloud is beneficial for business users who need a lightweight solution to access various reports. It also helps to keep loading times relatively quick, even for those with slower connection speeds. There are some occasional performance issues with vague errors. The only reason I was able to find out the root cause was from searching through the Spotfire forum.
I did not participate in the initial deployment of any Spotfire Cloud based solutions.
I did not participate in the initial deployment of any Spotfire Cloud based solutions.
Spotfire has continued to investment significantly into their cloud capabilities. I have found these solutions to diversify Spotfire's usage away from just the traditional analytics front and allow improved enterprise reporting for non-technical personnel. The lightweight client makes it easy to share reports & dashboards to management or other departments through a simple link or the included library.
- Easier access for non-technical personel
- Improved enterprise reporting
- Consolidated repository
I have not had an opportunity to interact with Spotfire support. The only forums do have a plethora of information and there is extensive documentation available, however I find a number of the errors I encounter require solutions that may not be easily available on either source due to version differences or user error.
I have not provided any recent feedback to Spotfire.
- Heavy analytics
- Enterprise reporting
- Replacement of other business intelligence products
July 20, 2022
Powerful tool, makes me more efficient!
Spotfire is being used across the whole organization for various applications. Overall, it integrates multiple sources of data to be able to spend more time analyzing rather than data manipulation. For me, I merge well, completions, reservoir, and geological data together to find trends and correlations that contribute to well performance, determine top operators, and potential areas for acquisition.
- Absorbs vast amounts of live & static data.
- Customized dashboards.
- Quick results.
- Some visualizations are a little clunky.
- Could use some refinement in the UI.
- Would like to see more customizable plots/charts.
- Not being able to align gridlines with multiple scales
N/A
N/A
N/A
N/A
45%
4.5
77.5%
7.8
43.33333333333333%
4.3
80%
8.0
90%
9.0
23.333333333333336%
2.3
N/A
N/A
- My work is done quicker, saves time.
- Better detail in my analysis, better understanding, reduce error.
- More efficient at finding "dead ends" in my analysis, better focus.
We also use TIBCO Data Virtualization, which gives us live links to our data.
We had Spotfire when I joined the company
The cloud services have allowed me to use Spotfire from anywhere and access the associated data from anywhere.
This was a new deployment for us and the transition went smoothly. I just had to work on moving data sets over.
Yes we have been able to migrate existing applications to the cloud. Once again, accessibility was the main driver for this, which has been achieved.
So far, it has met my organization's needs.
- Accessibility
- Speed
- Data in one spot
No, I've never used their support before.
The times where I've provided feedback, they have usually mentioned that I was not the first to make a request for a specific feature. Usually those features are already in development and I see them in 6-12 months.
- Maps of cumulative or forecasted production by section
- Maps of well activity by section or DSU
- Extremely fast operator analysis (production, activity, technology, etc.)
12
Finance/accounting, engineering, land, and business development
1
Officially, we have one main person who is our expert, but there are other strong users who I've used for support.
- Evaluation of a company's well activity
- Analysis of what makes a specific oil and gas play work (ie. drilling and completions analysis)
- Understand our company's net production from our vast mineral acreage
- Integration with our finance cube
- Integration with our land records
- Forecasting of oil and gas production within Spotfire instead of another software package
No
I was not involved in the selection process.
I was not involved in the selection process, but I would stick with Spotfire if I was.
- Don't know
- I was not part of the implementation.
- In-Person Training
I never took the formal training that was offered in our company, as it happened the month before I joined. However, I learned from colleagues and through various web searches/resources. There are a lot of resources out there (Dr. Spotfire, Spotfire Community, etc.) that I use similar to how I figured out advanced functions in Excel. Through this, I became one of the power users within the company.
No
There are enough online resources to find what we're looking for.
No
- Bringing in information links
- Custom expressions
- Creating map charts with shape files
- Changing axes for a bunch of plots (things seem to reset)
- Making my dashboards look nice
- Initial set up of multiple plots
Yes, but I don't use it