Spotfire Data Science

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Spotfire Data Science	Score 8.7 out of 10	N/A	Spotfire Data Science (formerly TIBCO Data Science) is a comprehensive platform for operationalizing data science, allowing users to scale data science across an organization to solve complex challenges faster and speed innovation. It is designed to enable data scientists to create innovative solutions using the latest machine learning techniques and open source developments. Create ML pipelines using a point-and-click UI or code. Orchestrate analytics using the tools, languages, and any…	N/A

Pricing

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Spotfire Data Science
Free Trial
Yes
Free/Freemium Version
No
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Community Pulse
	Spotfire Data Science
Considered Both Products	Spotfire Data Science RB Randy Bartlett Principal Statistician Chose Spotfire Data Science I prefer Spotfire Data Science's approach. It is more natural and fits the way I think. I prefer to use Spotfire Data Science's VB for writing macros. It is real code, meaning that I do not need to trick the software to do what I need and there are no implied loops over … Helpful? TY Thomas Young Economist Chose Spotfire Data Science I think Spotfire Data Science does two things better than these other software tools. First, Spotfire Data Science is perfect for exploratory analyses. It's suggested models are great, and the visualizations provide a nice look at the data before any modeling is done. Second, … Incentivized Helpful? Verified User Engineer Chose Spotfire Data Science We used Excel sheets before Data Science came into the organization. The main difference is that I cannot dynamically change the data in Excel sheets, which eats away at least 2 to 3 workers' time. Now, with Data Science, dynamic reporting can be done pretty quickly, which … Incentivized Helpful? Luis Ambrosio Account Manager - Latin America Chose Spotfire Data Science Data Science is a more robust analytical platform. Alpine Data is similar but not as powerful. Spotfire is a great combination to visualize information before modeling. Incentivized Helpful? Thomas Young Owner, previous CEO Chose Spotfire Data Science Data Science seems to be built around the idea that analysts would prefer not to code when they don't have to. As such, Spotfire Data Science does a great job making available to average analysts techniques that are about as modern as they get. The way Data Science advances … Incentivized Helpful? Abigail Bowden Geologist Chose Spotfire Data Science Microsoft Office is a classic. Older employees are much more familiar and comfortable with Office than new cloud-based applications. The drawback to Microsoft Office is it isn't cloud-based, and we end up with countless versions of documents and data all over the place. It … Incentivized Helpful? Shelby Bowden Graduate Research Assistant Chose Spotfire Data Science I personally like the collaborative and team-centered aspects of Spotfire Data Science better than most other programs. In this way I think it stands out among competitors with both its ease of use and fluid userface. Some of the other programs, such as MATLAB, seem to do a … Incentivized Helpful? Steve Wagner Director, Network Design and Logistics Analytics Chose Spotfire Data Science Used Mathematica (not in the list), which has greater overall functionality (outside of statistics), but Data Science is much easier to use, especially for analysts with limited experience. Incentivized Helpful? Verified User Manager Chose Spotfire Data Science SPSS, SAS Incentivized Helpful? Verified User Professional Chose Spotfire Data Science In the past, cost, ease of use, and versatility were what made me choose Data Science. However, the cost concern may be leading my company to pursue solutions like R programming instead. Incentivized Helpful?
Top Pros	Pro Saves time Pro User friendly Pro Work from home
Top Cons	Minus Price point Minus Difficult to connect Minus Not intuitive

Features

Spotfire Data Science

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Spotfire Data Science 9.1 4 Ratings 7% above category average
Connect to Multiple Data Sources	9.14 Ratings
Extend Existing Data Sources	9.14 Ratings
Automatic Data Format Detection	9.14 Ratings
MDM Integration	9.14 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Spotfire Data Science 9.1 4 Ratings 8% above category average
Visualization	9.14 Ratings
Interactive Data Analysis	9.14 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Spotfire Data Science 9.0 4 Ratings 9% above category average
Interactive Data Cleaning and Enrichment	9.14 Ratings
Data Transformations	9.14 Ratings
Data Encryption	8.93 Ratings
Built-in Processors	9.14 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Spotfire Data Science 9.1 4 Ratings 7% above category average
Multiple Model Development Languages and Tools	9.14 Ratings
Automated Machine Learning	9.14 Ratings
Single platform for multiple model development	9.14 Ratings
Self-Service Model Delivery	9.14 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Spotfire Data Science 9.1 4 Ratings 6% above category average
Flexible Model Publishing Options	9.14 Ratings
Security, Governance, and Cost Controls	9.14 Ratings

Best Alternatives
	Spotfire Data Science
Small Businesses	IBM SPSS Modeler Score 7.8 out of 10
Medium-sized Companies	Mathematica Score 8.2 out of 10
Enterprises	IBM SPSS Modeler Score 7.8 out of 10
All Alternatives	View all alternatives

User Ratings
	Spotfire Data Science
Likelihood to Recommend	9.0 (16 ratings)
Likelihood to Renew	6.4 (1 ratings)

User Testimonials
	Spotfire Data Science
Likelihood to Recommend	Spotfire If you have an analytics department, Data Science is perfect for making analyses quicker. Data Science works well for web querying, automating analyses, sharing advanced analyses with others, and performing lots of other advanced analytical processes. Data Science is not a good fit if the analytics you do is stuff that Excel can do. The software is powerful, with lots of features, and unless you actually plan on using those features, it's not worth paying for. Incentivized Thomas Young Owner, previous CEO Read full review
Pros	Spotfire It has a great user interface, easy to navigate and learn on the fly. There are lots of great options for data organization and analysis! Makes it a handy tool for presentations as well. A collaborative ability is highly valued for my company where we often work from home or on site. Being able to share the data with those in the office so multiple people can look at it is a great tool! Incentivized Abigail Bowden Geologist Read full review
Cons	Spotfire Unfortunately, some functionality is hidden per upgrade to other versions. Feel data mining functionality would be useful, but not budget for software. At the current price point, would have expected more (such as Mathematica breadth of functionality for one price). It is light on optimization capability. Slow when considering very large datasets, performing things such as distribution identification Incentivized Steve Wagner Director, Network Design and Logistics Analytics Read full review
Likelihood to Renew	Spotfire The company is hesitant to spend this much on software. They are primarily an engineering firm, and they don't understand the use of analytical software for environmental professionals. Incentivized Verified User Anonymous Read full review
Alternatives Considered	Spotfire I prefer Spotfire Data Science's approach. It is more natural and fits the way I think. I prefer to use Spotfire Data Science's VB for writing macros. It is real code, meaning that I do not need to trick the software to do what I need and there are no implied loops over solving simple problems. The graphs are publication quality and can be edited by hand or using a macro if I am building hundreds of them. Spotfire Data Science had a user-friendly approach to building lengthy data processing streams (in its workspaces). It is just so fast for analyzing a dataset that you have never seen before and efficient for ongoing work on the same data. RB Randy Bartlett Principal Statistician Read full review
Return on Investment	Spotfire Our company has had the program for less than 1 year. We don't expected a positive return this year. The goal is for Data Science to led to defined projects by the end of the end of the year and implementation in the following two. Overall, we are planning on 4 years to fully recoup the cost of the software and the cost of implementing identified projects. Incentivized Verified User Anonymous Read full review
ScreenShots	Spotfire Data Science Screenshots