Oracle Analytics vs. Spotfire

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Analytics
Score 8.3 out of 10
N/A
Oracle Analytics is a solution used to visually explore data to create and share compelling stories. Oracle Analytics Cloud is a cloud native service, and Oracle Analytics Server is the on-premise option.N/A
Spotfire
Score 8.2 out of 10
N/A
Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.N/A
Pricing
Oracle AnalyticsSpotfire
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle AnalyticsSpotfire
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsMust contact sales team for pricing.For Enterprise engagements, contact Spotfire directly for a custom price quote.
More Pricing Information
Community Pulse
Oracle AnalyticsSpotfire
Considered Both Products
Oracle Analytics
Chose Oracle Analytics
I think Oracle Analytics Server does a pretty good job against its competitors and, in fact, may surpass them in many areas. The cost is just a limitation, especially for small—to medium-sized organizations. The user interface and visuals are a win. Another limitation is the …
Chose Oracle Analytics
Affordable and could be also 'married' (or integrated) with the other HRIS platfrms. ALso, system interface is always an important thing and we have availed overall high positive response from those stakeholders who used / applied this systes. In essence, there is not so much …
Chose Oracle Analytics
Oracle Analytics Cloud stacks up against them pretty well. I found it almost identical. Oracle Analytics Cloud is more to me a one-stop solution with all necessary details and data and due to its security and personalized access to each colleague and team. We are simply relaxed …
Chose Oracle Analytics
If compared with other major BI and data visualization tools ODVC guarantees a higher level o scalability. In fact, ODVC is ideal to be used to cover very complex use cases with data coming from different enterprise systems through different integration technology. ODVC can …
Chose Oracle Analytics
Tableau can be a somewhat difficult product for someone unfamiliar with it. Based on your query, search will produce a very high amount of data, which you then need to sort. Can be cumbersome to work with. Oracle Data Visualization Cloud is easy to use upon initial trial …
Chose Oracle Analytics
IBM is also a very fine contributor in these fields of software engineering. They like Oracle are the masters of large data, whether for large entities, or small shops.
Chose Oracle Analytics
With respect to the above mentioned tools the Oracle BI provides excellent semantic layer(BMM) layer which is very effective in creating complex measures for various financial reporting solutions and also other use cases. The delivery options are great too. Only drawback is …
Chose Oracle Analytics
Oracle Analytics Cloud, is one of the most agile and secure data analysis platforms that according to the budget and the amount of use, you can use the resources you need under the cloud. The Oracle brand is also very well known in this field and can meet all the needs of an …
Chose Oracle Analytics
Oracle Analytics Cloud provides a more comprehensive and refined understanding of customers through thoughtful market segmentation compared to Adobe Analytics. Oracle is able to offer our managers a much more insightful narrative about buying habits and preferences. Has been …
Chose Oracle Analytics
The best part about Oracle Analytics Cloud is better data visualization than with the competition. Of all the different analytics reporting tools available in the market today, Oracle Analytics Cloud is best for all Oracle ERP products or even non-Oracle financial or sales …
Chose Oracle Analytics
We use Oracle BI and native connection with them. And since it has not been used for a long time, it is very costly to put the reports into a different application.
Chose Oracle Analytics
Oracle Analytics Cloud is a much more robust and true enterprise-level product on the cloud. The great support and documentation behind this product are amazing.
Chose Oracle Analytics
We are using multiple products from Oracle Cloud and Oracle Analytics Cloud is part of Oracle Cloud Infrastructure.
Chose Oracle Analytics
We are primarily an Oracle shop. OAC jives well with our business needs and is the most sought after solution if your organization is a major Oracle shop. OAC provides connectors out of the box and makes data analysis a breeze even if it has to be from totally disparate …
Chose Oracle Analytics
We are an Oracle shop. We use Oracle Cloud ERP, HCM and EPM. Hence, Oracle Analytics Cloud is a natural extension. We also use third-party software like Salesforce which can be easily integrated. We have a long-standing relationship with Oracle, and we attend various Oracle …
Chose Oracle Analytics
I haven't had the chance to use any other product especially because I work in a purely Oracle environment.
Chose Oracle Analytics
Essbase is more scalable and data source agnostic where the other products are not
Chose Oracle Analytics
Not related. Oracle Business Intelligence currently is linked to our Taleo environment to report recruiting data.
Chose Oracle Analytics
I have not used other products like Oracle.
Chose Oracle Analytics
OBIEE is comparable to SAP BO in many respects, even more so than MS Power BI. It stacks up strong compared to another similar tool in the market with respect to enterprise-level reporting. Among various other financial and strategic reasons, OBIEE was chosen because of its …
Chose Oracle Analytics
On-premise essbase

Cloud advantages include not having to do major upgrades, invest in infrastructure, run a data center (who can do that better?)
Spotfire
Chose Spotfire
No experience with the tools in the list above other than Spotfire.
Chose Spotfire
Spotfire has an extremely large and dynamic range of visual analysis tools that can be catered for most issues or projects to create a custom analytics dashboard when compared to other tools I've used. It's multitude of available database connections allow for most …
Chose Spotfire
No, the spotfire is being selected by dev team and architecture team.
Chose Spotfire
Spotfire is stronger than other tools to built complex metrics within the tool, without needs of etl updates and query changing. It has lots of useful visualizations to deep dive data and give interesting analysis to business users. Moreover, with some studies and tests, you …
Chose Spotfire
Although Spotfire has a longer learning curve, it has proven to be more practical and impactful than Tableau. We had only evaluated other tools at a high level initially, and were surprised to hear the success stories of companies moving from Tableau to Spotfire. We have found …
Chose Spotfire
Because of Spotfire's robust features and capabilities, I chose it as my preferred software. Spotfire's greater overall performance and scalability set it apart from other software solutions. It can handle
Chose Spotfire
Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create …
Chose Spotfire
Spotfire is more suited for manufacturing industries with regards the huge data to process to make relevant decision that use big data for making decisions, besides this Spotfire supports more and excels at Availability & Scalability, Data Sources Connectivity and Deployment …
Chose Spotfire
Spotfire is better for geo mapping and easier to maniuplate the data. i am not very good at Tableau anyways but that is what i have used in the past
Chose Spotfire
I prefer Spotfire greatly. While is may seem like a "one trick pony", it does that one trick really well.
Chose Spotfire
We select Spotfire because of its connectors, Big data capabilities, Drill down and inmersive analytics and capacita to manage miliseconds information
Chose Spotfire
Quick analysis and create reports
Chose Spotfire
I choose Spotfire because of the following - custom visual using JavaScript - on the fly chart property update using iron python - easy report Deployment and update -easy to manage user access via so or ldap - best report data Extraction -mix data sources -custom data load …
Chose Spotfire
Spotfire is significantly ahead of both products from an ETL and data ingestion capability. Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, Spotfire enables users to create completely …
Chose Spotfire
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 …
Chose Spotfire
Easy to use and is a very flexible tool. Great to have multiple services. Find it to be a trusted platform. The ability to add Iron Python scripts and include code snippets is very useful. Like the style of the created views.
Chose Spotfire
I find both Microsoft Power BI and Spotfire very easy to use. I would rate them on par with each other. There isn’t much to differentiate them. Maybe the learning curve on Spotfire is a bit steeper than Microsoft Power BI.
Chose Spotfire
Augmented AI with Spotfire is very useful for data virtualization. Since data visualization is a quick and very easy way to convey our information. This software makes it easier with its interactive way of presenting data in charts, graphs, and 3D forms.
Chose Spotfire
It provides all tools along with in-built apps for analysis and generating reports, metrics, charts, and graphs. Comes with appropriate costing model at least for an average size organization
Chose Spotfire
We ultimately switched to Tableau desktop as we realized it was able to do all of the things we required of Spotfire.
Chose Spotfire
I haven’t tried any other tools by TIBCO. The only tool we use in our company is Spotfire, so my analysis is limited to Spotfire.
Chose Spotfire
Spotfire stacks well in comparison to other BI products and provides a simplified way to manage reporting and visualization requirements.
Chose Spotfire
Spotfire is the best application for power users by virtue of its wide variety of visualizations, incorporated analytics, superior data canvas, and ability to integrate code such as R or Python. The learning curve is steeper and the menus are Windows 7 once you are past some …
Chose Spotfire
The only other tool we use in my course is Tableau. Tableau is very popular regionally (Omaha, NE), runs locally on Mac and PC, is free for students and faculty, and has a web outlet for sharing. It also plays well with AWS. For these reasons, we use it as the primary …
Features
Oracle AnalyticsSpotfire
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Oracle Analytics
8.4
Ratings
3% above category average
Spotfire
-
Ratings
Pixel Perfect reports8.90 Ratings00 Ratings
Customizable dashboards9.20 Ratings00 Ratings
Report Formatting Templates7.10 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Oracle Analytics
8.2
Ratings
2% above category average
Spotfire
-
Ratings
Drill-down analysis8.40 Ratings00 Ratings
Formatting capabilities8.10 Ratings00 Ratings
Integration with R or other statistical packages7.10 Ratings00 Ratings
Report sharing and collaboration9.20 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Oracle Analytics
9.1
Ratings
9% above category average
Spotfire
-
Ratings
Publish to Web8.70 Ratings00 Ratings
Publish to PDF9.20 Ratings00 Ratings
Report Versioning9.00 Ratings00 Ratings
Report Delivery Scheduling9.80 Ratings00 Ratings
Delivery to Remote Servers8.70 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Oracle Analytics
8.5
Ratings
6% above category average
Spotfire
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)9.00 Ratings00 Ratings
Location Analytics / Geographic Visualization8.50 Ratings00 Ratings
Predictive Analytics8.10 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Oracle Analytics
8.8
Ratings
4% above category average
Spotfire
-
Ratings
Multi-User Support (named login)9.20 Ratings00 Ratings
Role-Based Security Model8.20 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)8.50 Ratings00 Ratings
Single Sign-On (SSO)9.30 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Oracle Analytics
7.3
Ratings
7% below category average
Spotfire
-
Ratings
Responsive Design for Web Access6.70 Ratings00 Ratings
Mobile Application7.30 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile7.50 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Oracle Analytics
7.7
Ratings
1% below category average
Spotfire
-
Ratings
REST API7.90 Ratings00 Ratings
Javascript API9.00 Ratings00 Ratings
iFrames6.70 Ratings00 Ratings
Java API9.70 Ratings00 Ratings
Themeable User Interface (UI)7.10 Ratings00 Ratings
Customizable Platform (Open Source)5.90 Ratings00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Oracle Analytics
-
Ratings
Spotfire
7.2
Ratings
15% below category average
Connect to Multiple Data Sources00 Ratings7.80 Ratings
Extend Existing Data Sources00 Ratings7.40 Ratings
Automatic Data Format Detection00 Ratings7.80 Ratings
MDM Integration00 Ratings6.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Oracle Analytics
-
Ratings
Spotfire
9.1
Ratings
8% above category average
Visualization00 Ratings9.00 Ratings
Interactive Data Analysis00 Ratings9.20 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Oracle Analytics
-
Ratings
Spotfire
7.4
Ratings
10% below category average
Interactive Data Cleaning and Enrichment00 Ratings7.20 Ratings
Data Transformations00 Ratings8.00 Ratings
Data Encryption00 Ratings7.00 Ratings
Built-in Processors00 Ratings7.50 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Oracle Analytics
-
Ratings
Spotfire
7.6
Ratings
10% below category average
Multiple Model Development Languages and Tools00 Ratings7.50 Ratings
Automated Machine Learning00 Ratings8.50 Ratings
Single platform for multiple model development00 Ratings7.60 Ratings
Self-Service Model Delivery00 Ratings6.70 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Oracle Analytics
-
Ratings
Spotfire
7.4
Ratings
14% below category average
Flexible Model Publishing Options00 Ratings7.80 Ratings
Security, Governance, and Cost Controls00 Ratings7.00 Ratings
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User Ratings
Oracle AnalyticsSpotfire
Likelihood to Recommend
9.2
(0 ratings)
8.4
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
9.6
(0 ratings)
Usability
9.1
(0 ratings)
8.0
(0 ratings)
Availability
9.1
(0 ratings)
9.0
(0 ratings)
Performance
9.1
(0 ratings)
7.1
(0 ratings)
Support Rating
9.1
(0 ratings)
8.7
(0 ratings)
In-Person Training
9.0
(0 ratings)
8.3
(0 ratings)
Online Training
9.1
(0 ratings)
9.0
(0 ratings)
Implementation Rating
9.1
(0 ratings)
8.4
(0 ratings)
Configurability
9.1
(0 ratings)
7.1
(0 ratings)
Ease of integration
8.2
(0 ratings)
7.0
(0 ratings)
Product Scalability
9.1
(0 ratings)
7.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
5.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
5.0
(0 ratings)
User Testimonials
Oracle AnalyticsSpotfire
Likelihood to Recommend
The entire deployment and configuration stage was easy and it was accessible across the organization in a matter of days. Oracle Analytics Server being a cloud-based solution helped right from Input of Bulk Data to Info preparation, Data cleaning, and finally Data Modeling. Everything was visual and the Help Wizard was very intuitive.
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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.
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Pros
  • Oracle helps with easy customization of reports.
  • It helps with the creation of dashboards and the integration of different data sources.
  • Oracle BI was a package used for multiple users across our organization - publishing and distributing reports was a breeze.
Read full review
  • It has the best coding integration (python, R) of any BI product
  • The ability to work with very large datasets (10 mil+) is better than competitors
  • Export options are more complete and have better functionality
  • The data canvas is the best tool to join and transform data vs. competitors
Read full review
Cons
  • More AI but with human back up.
  • Less mumbo jumbo so even IT guys/gals can more easily work.
  • More statistics (math) and orientation for those not familiar with it.
  • More live as well as virtual (live) show casing of real situations in business.
Read full review
  • They should have a lower price point for users to access the analyst version who don't require advanced capabilities. For example, a lower price if users just need to do some basic slicing and dicing with their data and not have to the data science functionality (ie. K-means clustering, regression modeling, classification modeling, etc.).
  • Currently, you can't change the font type/color on the axis, which I'm sure will eventually be available in the future as they have a Spotfire Ideas portal that they're fairly responsive to and act on. I guess at the end of the day, it's about the data and what insights you get from it.
Read full review
Likelihood to Renew
Scalability and rich integration capabilities. In the future, if we go with Hyperion for the Financial Consolidation and planning purposes -BI integration with Hyperion is going to be much simpler as it has native interface connectivity and even integration capabilities with well known CRM products (Siebel) and ERP Products (Oracle EBS, Peoplesoft, SAP) is going to be easy and straight forward.
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It's a very powerful tool that allows for a myriad of customizations within the analysis files themselves, particularly with the custom expression functionality. There have been some great strides with the quality of the visualization options (which were not great to begin with) and I hope to see more improvements made as the product gets updated.
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Usability
Great, if you are limited to using it along with other Oracle products; sadly, not if you are integrating with other products, which can be a challenge. It is a great product with tons of functionality and great integration with other in-house platforms. Great visuals and customization for data and analytics to provide decision-making data and analysis.
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Basic tasks like generating meaningful information from large sets of raw data are very easy. The next step of linking to multiple live data sources and linking those tables and performing on the fly analysis of the imported data is understandably more difficult.
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Reliability and Availability
No problems, it's that simple.
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Even though, it's a rather stable and predictable tool that's also fast, it does have some bugs and inconsistencies that shut down the system. Depending on the details, it could happen as often as 2-3 times a week, especially during the development period.
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Performance
Other than anomalies or expected quirks, there were never any earth-shattering delays.
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Generally, the Spotfire client runs with very good performance. There are factors that could affect performance, but normally has to do with loading large analysis files from the library if the database is located some distance away and your global network is not optimal. Once you have your data table(s) loaded in the client application, usually the application is quite good performance-wise.
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Support Rating
Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.
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Support has been helpful with issues. Support seems to know their product and its capabilities. It would also seem that they have a good sense of the context of the problem; where we are going with this issue and what we want the end outcome to be.
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In-Person Training
Oracle University offers very in-depth training.
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The instructor was very in depth and provided relevant training to business users on how to create visualizations. They showed us how to alter settings and filter views, and provided resources for future questions. However, the instructor failed to cover data sources, connecting to data, etc. While it was helpful to see how users can use the data to create reports, they failed to properly instruct us on how to get the dataset in to begin with. We are still trying to figure out connections to certain databases (we have multiple different types).
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Online Training
It was a private training site.
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The online training is good, provides a good base of knowledge. The video demonstrations were well-done and easy to follow along. Provided exercises are good as well, but I think there could be more challenging exercises. The training has also gone up in price significantly in the last 3 years (in USD, which hurts us even more in Canada), and I'm not sure it is worth the money it now costs (it is worth how much it cost 3 years ago, but not double that.)
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Implementation Rating
Like most other large implementations of such technical programs, it pays to plan as much upfront as possible, and this is why we are researching this great product so much.
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The original architecture I created for our implementation had only a particular set of internal business units in mind. Over the years, Spotfire gained in popularity in our company and was being utilized across many more business units. Soon, its usage went beyond what the original architectural implementation could provide. We've since learned about how the product is used by the different teams and are currently in the middle of rolling out a new architecture. I suggest:
  • Have clearly defined service level agreements with all the teams that will use Spotfire. Your business intelligence group might only need availability during normal working hours, but your production support group might need 24/7 availability. If these groups share one Spotfire server, maintenance of that server might be a problem.
  • Know the different types of data you will be working with. One group might be working with "public" data while another group might work with sensitive data. Design your Library accordingly and with the proper permissions.
  • Know the roles of the users of Spotfire. Will there only be a small set of report writers or does everyone have write access to the Library?
  • ALWAYS add a timestamp prompt to your reports. You don't want multiple users opening a report that will try and pull down millions of rows of data to their local workstations. Another option, of course, is to just hard code a time range in the backing database view (i.e. where activity_date >= sysdate - 90, etc.), but I'd rather educate/train the user base if possible.
  • This probably goes without saying, but if possible, point to a separate reporting database or a logical standby database. You don't want the company pounding on your primaries and take down your order system.
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Alternatives Considered
If compared with other major BI and data visualization tools ODVC guarantees a higher level o scalability. In fact, ODVC is ideal to be used to cover very complex use cases with data coming from different enterprise systems through different integration technology. ODVC can easily deal with millions of records.
Read full review
Spotfire is appropriate for every organization of any size because it can be a recipient of data for better decision-making. Being a robust development platform for creating reports and dashboards, creating a new Spotfire dashboard is relatively simple. Developers can create highly customized dashboards using the tools it provides. I will recommend this software to others
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Scalability
We have seen the results of this in our initial research and are not surprised that Oracle does this like it does soo many other things in this area, so well.
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In an enterprise architecture, if Spotfire Advanced Data services(Composite Studio),data marts can be managed optimally and scalability in a data perspective is great. As the web player/consumer is directly proportional to RAM, if the enterprise can handle RAM requirement accomodating fail over mechanisms appropraitely, it is definitely scalable,
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Return on Investment
  • We've used OBIEE (or it's previous named product) for over 13 years and it's still the most used tool for BI by the business.
  • We moved our largest business system off of Business Object into OBI so we could gain improved performance, reliability, and easier management of metadata.
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  • Spotfire really helped a lot of people in terms of analysis. It eliminates data analysis in excel. Because even underlying data you can explore it in Spotfire.
  • Spotfire helps data analysts to investigate data and also help analysts solve inconsistency of data.
  • Spotfire helps data analysts in building great dashboard that provide insights to users to make decisions to drive revenue and manage the churn.
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ScreenShots

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