SAP Predictive Analytics vs. Spotfire Data Science

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Predictive Analytics
ScoreĀ 7.0Ā outĀ ofĀ 10
N/A
SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.N/A
Spotfire Data Science
ScoreĀ 8.7Ā outĀ ofĀ 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 anyā€¦N/A
Pricing
SAP Predictive AnalyticsSpotfire Data Science
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP Predictive AnalyticsSpotfire Data Science
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Detailsā€”ā€”
More Pricing Information
Community Pulse
SAP Predictive AnalyticsSpotfire Data Science
Top Pros
Top Cons
Features
SAP Predictive AnalyticsSpotfire Data Science
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
SAP Predictive Analytics
-
Ratings
Spotfire Data Science
9.1
4 Ratings
7% above category average
Connect to Multiple Data Sources00 Ratings9.14 Ratings
Extend Existing Data Sources00 Ratings9.14 Ratings
Automatic Data Format Detection00 Ratings9.14 Ratings
MDM Integration00 Ratings9.14 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
SAP Predictive Analytics
-
Ratings
Spotfire Data Science
9.1
4 Ratings
8% above category average
Visualization00 Ratings9.14 Ratings
Interactive Data Analysis00 Ratings9.14 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
SAP Predictive Analytics
-
Ratings
Spotfire Data Science
9.0
4 Ratings
9% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.14 Ratings
Data Transformations00 Ratings9.14 Ratings
Data Encryption00 Ratings8.93 Ratings
Built-in Processors00 Ratings9.14 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
SAP Predictive Analytics
-
Ratings
Spotfire Data Science
9.1
4 Ratings
7% above category average
Multiple Model Development Languages and Tools00 Ratings9.14 Ratings
Automated Machine Learning00 Ratings9.14 Ratings
Single platform for multiple model development00 Ratings9.14 Ratings
Self-Service Model Delivery00 Ratings9.14 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
SAP Predictive Analytics
-
Ratings
Spotfire Data Science
9.1
4 Ratings
6% above category average
Flexible Model Publishing Options00 Ratings9.14 Ratings
Security, Governance, and Cost Controls00 Ratings9.14 Ratings
Best Alternatives
SAP Predictive AnalyticsSpotfire Data Science
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
ScoreĀ 7.8Ā outĀ ofĀ 10
IBM SPSS Modeler
IBM SPSS Modeler
ScoreĀ 7.8Ā outĀ ofĀ 10
Medium-sized Companies
Alteryx
Alteryx
ScoreĀ 9.0Ā outĀ ofĀ 10
Mathematica
Mathematica
ScoreĀ 8.3Ā outĀ ofĀ 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
ScoreĀ 7.8Ā outĀ ofĀ 10
IBM SPSS Modeler
IBM SPSS Modeler
ScoreĀ 7.8Ā outĀ ofĀ 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP Predictive AnalyticsSpotfire Data Science
Likelihood to Recommend
9.0
(3 ratings)
9.0
(16 ratings)
Likelihood to Renew
-
(0 ratings)
6.4
(1 ratings)
Usability
6.0
(1 ratings)
-
(0 ratings)
Support Rating
7.0
(1 ratings)
-
(0 ratings)
User Testimonials
SAP Predictive AnalyticsSpotfire Data Science
Likelihood to Recommend
SAP
It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
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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.
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Pros
SAP
  • It doesn't require you to have a Ph.D. to build models!
  • You can use it to address a very large and wide dataset without worrying about sampling.
  • Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
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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!
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Cons
SAP
  • Working with this software is very simple and enjoyable for me as [an] IT consultant and expert, but it is a bit complicated for novice users.
  • Some big data takes more timeā€Œto load, which I think could be faster
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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
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Likelihood to Renew
SAP
No answers on this topic
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.
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Usability
SAP
the UI is a bit dated and available as a desktop tool mostly.
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Spotfire
No answers on this topic
Support Rating
SAP
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
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Spotfire
No answers on this topic
Alternatives Considered
SAP
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
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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.
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Return on Investment
SAP
  • Proper forecasting increases our credibility with partners and customers
  • Forecasting determines the amount of investment in each sector and reduces the cost of additional costs
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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.
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ScreenShots

Spotfire Data Science Screenshots

Screenshot of Reusable Workspace TemplateScreenshot of AutoML - Create Editable Workflows for Feature Selection/Generation, Model Creation/Selection, Hyperparameter TuingScreenshot of Interactive DashboardScreenshot of Orchestrate Analytics across Amazon, Google, and Microsoft