Creating reports and dashboards for end users to get insights of business fetching data from multiple data sources.
Programmer Analyst at Tech Services Company
One of the best data analytical tool for your business which gives insight into our data along predictive analytics.
What is our primary use case?
How has it helped my organization?
It is one of the best BI tools that gives deep insights into our data along with analytical exposure and statistical services.
What is most valuable?
Data Connections, Information Links, WMS and TMS layer in Map Chart, In-Memory Analysis, Scheduled Updates, Support to IronPython, R-Script, S+, MATLAB for analytical capabilities.
With every new release of Spotfire comes up with new features which help the user experience like theme based visualizations, recommendations engine for visualizations, waterfall and KPI chart, annotations, comments on the charts, combining data for categorical values is very useful, nested aggregations and ODATA connectors are very important features which would edge to the dashboards.
What needs improvement?
More appealing in user interface like other tools. Sometimes users complain of only basic visualizations availability compared to other tools. These are available from third party but if those could be added in Spotfire itself then it would be great.
Buyer's Guide
TIBCO Spotfire
December 2024
Learn what your peers think about TIBCO Spotfire. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
831,265 professionals have used our research since 2012.
For how long have I used the solution?
More than five years.
What do I think about the stability of the solution?
Nothing significant.
What do I think about the scalability of the solution?
Easy to scale
How are customer service and support?
Customer Service:
Good
Technical Support:
It's good but need improvement.
How was the initial setup?
It was straightforward to setup the Spotfire environment provided you have some knowledge how the thing works in system but few things need lot of time and expertise.
What about the implementation team?
In house team
What's my experience with pricing, setup cost, and licensing?
Pricing and licensing are high compared to other tools, but ROI is great.
What other advice do I have?
One of the best data visualization and analytical tools I have worked with and would definitely suggest others to evaluate and go for Spotfire to get the best ROI.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Business Analyst at a aerospace/defense firm with 1,001-5,000 employees
Even though advanced statistical approaches underlie capacity planning analysis, emphasis on the visuals make it easy to communicate out to managers without the stats background.
What is most valuable?
Three main features:
- Ability to work with many different data sources
- Easy for beginners
- Ability to be extended with R functions
This combination of features means it's relatively easy to take business users with little analytics background and scale them up to expert-level techniques.
How has it helped my organization?
One of my teams uses this for capacity planning. Fairly advanced statistical approaches underlie the analysis, but because Spotfire emphasizes visual approaches, it's easy to communicate out to managers without the stats background.
What needs improvement?
Setting up data sources: There's a lot of flexibility, but it's easy for users to pick a poor approach and needlessly complicate their sources.
I think most people coming to a tool like Spotfire will be coming from an Excel background. In a standard Excel scenario, you'll have a spreadsheet full of data, and all the manipulation you do on your data will take place within the spreadsheet.
However, Spotfire is built to pull data from sources as needed; basically, with bunches of SQL queries. If a user only knows the standard Excel way, they might try to write one master query to pull all the data in Spotfire, and then do all their manipulation there. In these "Big Data" times, that can result in degraded performance due to memory/processing demands. A better way to use Spotfire is to leverage your database - it can pivot, it can summarize - and using that pre-filtered result joined with subqueries can let Spotfire work with much leaner, faster data.
TIBCO offers training that covers this, and other options as well, but unless the user happens to take that class, or has enough of a database background to already know some of these techniques, they're likely to try the less efficient way, and Spotfire will happily let them go that direction. I would like to see, even without changing the functionality, just adding nudges, maybe more visibility of their extensive help pages, to encourage users to at least consider different ways of pulling data.
For how long have I used the solution?
I have used it for two years.
What was my experience with deployment of the solution?
I had a deployment issue. There's a component to support automated tasks. Even with TIBCO support, I never was able to get that component to work the way I expected.
How are customer service and technical support?
Technical support and customer service is 5/10. For technical questions, their support team is responsive and thorough, but their account managers tend to be nonresponsive, and have high turnover.
Which solution did I use previously and why did I switch?
My organization had already chosen this solution before my involvement.
How was the initial setup?
I didn't see the initial setup, but from administering and upgrading it, it seems a more complicated process than necessary.
What's my experience with pricing, setup cost, and licensing?
TIBCO provides multiple licensing options, but this is an area where their competition is becoming more attractive.
Which other solutions did I evaluate?
In the process of learning the tool, I did review demos of competing products. The ability to extend Spotfire with R and Python is important to me, and Spotfire was one of the first visual analytics tools to provide that. The competition is narrowing the gap, however.
What other advice do I have?
When evaluating TIBCO Spotfire versus other vendors, or even other Spotfire offerings (e.g., Spotfire Cloud), it's very important to understand what your organization's needs are. Not every tool supports every data source, or visualization technique, and some tools might be more or less appropriate, based on the balance of analysis creators vs analysis consumers.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
TIBCO Spotfire
December 2024
Learn what your peers think about TIBCO Spotfire. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
831,265 professionals have used our research since 2012.
Consultant at a tech company with 51-200 employees
With transformations, I can make the structure of the data most suitable for answering the user's questions with the visualisations.
What is most valuable?
The most valuable features of this product, for me, are:
- Applying transformations to data tables: With these transformations, I can make the structure of the data most suitable for answering the user's questions with the visualisations.
- The visualisations: They look very good, are easy to use and can answer almost any business question.
What needs improvement?
I would like to see the improvements in the following areas:
- The info designer feature: The user interface could be more graphical, it would make it more user friendly and flexible.
- The transformations and insertions of rows and columns: Tables can be created by using transformations and inserting rows and columns. I would like to have more ability to make changes to these transformation and insertions without having to recreate the complete table from scratch.
For how long have I used the solution?
I have used this solution for three years.
What was my experience with deployment of the solution?
I did not encounter any issues with deployment.
How are customer service and technical support?
I rate technical support 9/10 (very quick and good response, good level of knowledge).
Which solution did I use previously and why did I switch?
I previously used IBM Cognos products also as a consultant. I choose Cognos because I thought (and still think) that Cognos is a good product.
How was the initial setup?
I am no real technical consultant, but I found the initial setup pretty straightforward. After installing the software, no enormous or complex configuration is needed.
What about the implementation team?
We implement for our customers and also for customers of TIBCO.
What other advice do I have?
Start small but think big. When you start using the product - regarding setting up authorisation and setting up the library, for instance - work structured and with a kind of policy that is scalable and flexible regarding maintenance.
Disclosure: My company has a business relationship with this vendor other than being a customer: Technical partner and reseller of TIBCO Spotfire.
Engineering Specialist at a energy/utilities company with 501-1,000 employees
It allows us to collectively write a procedure for data transformation that can accommodate most if not all of our team’s needs.
Valuable Features:
Driving details visualizations is the most valuable feature of this product to me. One of the greatest strengths of the tool comes from being able to build high-level projects that can be implemented in many ways. In my industry, we are attempting to consolidate analytical tools to give our engineers a few “one-stop shops" rather than each person doing their own work in a bubble. It allows us to collectively write a procedure for data transformation that can accommodate most if not all of our team’s needs.
Improvements to My Organization:
We are moving away from a single person exploring data and giving presentations towards team exploration of data in a conference room environment.
Room for Improvement:
From what I understand, some of the issues I’ve had have been addressed in 7.0, but my company has not upgraded yet. Layering multiple levels of aggregation is something I’m constantly asked to provide, which has been difficult to do in the versions I have used so far.
Use of Solution:
I have used the solution for eight years.
Stability Issues:
Some of the previous versions have had stability issues, but 6.5 appears very stable.
Scalability Issues:
I have run into issues with large datasets (>2M records), and attempting to build relationships between tables for use in a single visualization.
Initial Setup:
I’ve never been part of the original setup of Spotfire. I’ve worked for four different companies, all of which already had their own server installed. I can say that there hasn’t been much of an issue moving from company to company, other than general organization methodology.
Cost and Licensing Advice:
Start small. Tibco tends to push the higher level subscriptions, and want you to buy their server. I’ve found that the base version is a great introduction at a reasonable cost, and allows teams to evaluate whether they want to continue using the product with minimal effort from the IT department (You can just download the base version from the internet and start using it.)
Other Solutions Considered:
I still currently use a myriad of solutions – it all depends on if I think there will be followup questions asked of the data. Often times, the engineers I work with are not familiar/comfortable with the data, so requests become iterative as projects evolve. There are certainly times where dumping data to Excel and giving a customized pivot table is a better solution because the engineer finds that less daunting.
Other Advice:
Make sure you have people dedicated to data quality/analytics. Spotfire isn’t a software package that you can dabble in and make it worth your while. Once you understand how they organize the tools, it is fairly easy to navigate, but things like syntax for expressions/calculations trip people up in their early stages. The reasons to choose Spotfire over other BI tools are that the other tools are more difficult to implement and they will require a significant time investment.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Analytics Consultant at a consultancy with 51-200 employees
It reduced how much time we spend manipulating data in Excel. Pricing should be more transparent.
Valuable Features
The following features are the most valuable to me:
- Ability to import data from disparate sources and manipulate/transform that data
- Ability to create visualizations that communicate insight
- Integration with R
Improvements to My Organization
This application has reduced the amount of time we spend manipulating data in Excel.
Room for Improvement
Allow insert columns to be changed after the initial operation. Currently, if an insert columns operation needs to be changed, the user must replace the entire table and this could involve significant rework.
Expand the statistical modeling functions.
Allow lines in line charts to be formatted.
Use of Solution
I have used this solution for 3.5 years.
Deployment Issues
I have found that the manuals for deployment can be lacking in detail and explanation. I frequently open help desk tickets when working on installations.
Customer Service and Technical Support
I rate technical support 7/10 and getting better.
Implementation Team
I know that we had a vendor team do the initial installation but have done all upgrades and additional product (Stats Services) installations ourselves. Again, the manuals are often lacking in detail and explanation.
Pricing, Setup Cost and Licensing
Spotfire seems to be more expensive than other tools and negotiating with the vendor can be difficult. They could make purchasing the product a lot easier by being more transparent on pricing and having the same pricing or pricing tiers for all customers. Customers absolutely hate this negotiation process because it is not transparent, and also because the negotiations seem to take a long time. Be transparent and fair.
Other Solutions Considered
I have only used Spotfire. Every oil and gas company I have worked for uses it.
Other Advice
The vendor has historically provided two updates per year, although there can be more. In my opinion, updates twice a year with new features is pretty good given the amount of testing required to rollout an updated version of the product.
Also, if you find defects in the software and report them to their HD, they will notify you when hotfixes have been created, and they are pretty good about pushing out hotfixes for known issues.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Spotfire consultant at a tech services company with 51-200 employees
The ability to analyze your data quickly is valuable to me.
Valuable Features
The following features are the most valuable to me:
- The ability to analyze your data quickly
- Extensibility: Quintus consultants develop QuintusVisuals and custom extensions using the Spotfire SDK.
Improvements to My Organization
In a previous job, I implemented a signaling system for calls coming in from the first line support desk. I placed Spotfire on top of a small live data sheet. It reloaded Spotfire with an external script and exported the analysis to HTML. After that, another script (created by a co-worker) ran to extract the contents and place the items in an automated web page, where tabs were switched every couple of seconds.
This tool was even able to run in the Network Operation Center on a big screen.
Room for Improvement
I'd like to see the following improvements:
- Configuration options (properties screens are too crowded)
- Licensing system: Make it more clear or get rid of the special groups and their special tick boxes that can only activate on that specific group.
- Enhance multiple scales in line and bar charts to grouped scales (group numerical, percentage etc. columns).
Use of Solution
I have used this solution for about seven years.
Deployment Issues
In the recent version of Spotfire, 7.5 or 7.6, I was able to corrupt my webplayer services deployment with no way to restore it. I had to re-install it. Luckily, this is very quick to do.
Customer Service and Technical Support
Technical support provided very fast response times and helpful people. Excellent.
Initial Setup
Initial setup was a straightforward process.
Implementation Team
Because we are a Spotfire partner, we have the ability to deploy Spotfire in-house.
Other Solutions Considered
I tried to evaluate a version of Tableau but it felt hard to configure and not as easy as I’m used to with Spotfire.
Other Advice
It’s a business tool, but it’s always a good thing to have IT stand behind your decision when implementing it.
In my opinion, TIBCO Spotfire is the best tool that really serves the business analysis needs.
Disclosure: My company has a business relationship with this vendor other than being a customer: Quintus consultants is a VAR partner for TIBCO Spotfire. Quintus consultants also develop the add-in QuintusVisuals using the Spotfire SDK.
Owner at a tech consulting company with 51-200 employees
TIBCO Spotfire and the In-Database/In-Memory Analytics Choice
(First posted October 4, 2012 in the Breakthrough Analysis blog. )
Visual analytics leader TIBCO, with its September 25 launch of Spotfire 5.0 and announcement of a new Teradata alliance, wants analytics customers to have it both ways, promoting both in-memory analytics and, for the largest or deepest problems, push-down of calculations into the Teradata engine via a technique called in-database processing. Flexibility is good. In-memory processing speeds interactive-analysis response times which in-database analytics reduces data-access delays and calculation time, taking advantage of parallel processing by the the database management system (DBMS). For each of a large variety of analytical processing challenges, which approach works best?
On the one hand, the new analytics partnership — “Spotfire harnesses Teradata for executing complex calculations and predictive analytics in-database” – delivers “extreme data discovery and analytics.” On the other, newly launched Spotfire 5.0 is a “re-architected in-memory engine specifically built to enable users from across the enterprise to visualize and interact with massive amounts of data” that doubles down on the long-standing positioning of TIBCO Spotfire as “in-memory analytics software for next generation business intelligence.”
Next Generation BI and Database Systems
The next generation of business intelligence is indeed interactive and visual, typically involving iterative, exploratory analyses. Tableau and QlikTech, notably, compete with TIBCO on this front. And business is increasingly demanding real-time analysis of high-velocity data, without the latency involved in writing data streams to a database. These scenarios are tailor-made for in-memory processing. But here’s the rub. Next-gen BI also calls on huge volumes of diverse data and, often, the application of sophisticated computational algorithms, necessary to make sense of time series, geolocation, connection-network, and textual data. If you’re crunching high-volume data from social/mobile sources, and from certain species of machine/sensor-generated data, you may working beyond the responsiveness bounds of in-memory analytics… or you may not.
QlikView, for instance, can directly import social-sourced data via connectors from QlikTech partner company QVSource, and all three of the companies I’m mentioned work with ‘unified information access’ vendor Attivio to ingest data from a variety of unstructured sources that Attivio handles. And Teradata’s partner ecosystem includes text-analytics providers Attensity and Clarabridge, who software runs outside Teradata systems rather than in-database, just as SAP, in a tighter coupling, provides text capabilities via a data-services framework.
It’s a complex analytical-software world out there! We see that in-memory and in-database analytics occupy overlapping territory. How to choose the right approach in a bi-BI world? In what circumstances should you pull data from the external DBMS for those fast in-memory analyses — TIBCO touts the “two-second advantage” — and when should you push-down complex calculations and predictive analytics into an external database system?
TIBCO-partner Teradata provides a very worthy analytical DBMS, with parallel query processing, high reliability, low-latency data availability, broad data-management capabilities, and rich in-database analytics. So happens I wrote a paper for the company a couple of years back, Frequently Asked Questions about In-Database Analytics. (Teradata has paid me to write other papers, QlikTech is a consulting client, Attensity is a sponsor of my up-coming Sentiment Analysis Symposium – If you’re into social-media analytics, market research, or customer experience, check it out, October 30 in San Francisco – and I have done paid work for SAP and Sybase in the last year.) Teradata is not the only player in the game. Oracle and Microsoft SQL Server Analysis Services are additional external in-database analytics options with Spotfire, and DBMS options including EMC Greenplum, IBM Netezza, and SAP’s Sybase IQ all support in-database analytics unallied with TIBCO.
In-Memory vs. In-Database Guidance
A TIBCO-provided customer testimonial hints at one decision criterion. TIBCO references MGM Resorts International, a Spotfire and Teradata customer. “‘Being able to work with Spotfire directly connected to billions of data records through Teradata will greatly improve our ability to manage the Big Data dilemma,’ said Becky Wanta, Senior Vice President and Global Chief Technology & Innovation Officer,” as quoted by TIBCO. Focus on “billions of data records” and the word “manage.” In-database analytics in a centralized data store provides for shared-but-controlled access and robust administration, not only for data but also for database-embedded analytical routines, whether instantiated in SQL, custom code, or code libraries.
Consider another customer testimonial: Alan Falkingham, director, business intelligence at Procter & Gamble says, again quoted in the TIBCO release, “We are excited by the prospect of Spotfire 5.0 being able to efficiently analyze and visualize extreme data volumes by executing analytics directly within our database architecture.” Key-in here on “visualize” — visual analysis happens in the user-facing front-end, often as part of an iterative, exploratory process, where in-memory excels — where the efficiency is in handling heavy computations, that touch those “extreme data volumes,” close to the data, in the DBMS.
TIBCO Spotfire Vice President of Marketing Mark Lorion explained, “Being in-memory, there will still be limits based on specific machines configured and deployed… Our approach enables organizations to bridge between/distribute across the two architectural approaches to best fit the use case. This allows companies to leverage the benefits of in-memory freedom with the existing investments in data managed elsewhere.”
Still, how to decide what’s done in-database and what’s done in-memory? Lorien didn’t respond to a question I posed, asking the limits of the in-memory approach. I asked Gartner analyst Merv Adrian his take. It was, simply, the following: “I haven’t thought about it much. Anything that fits in memory ought to be done there, in my opinion. But the DBMS in-memory doing processing in-database would be ideal.” Ideal indeed, not currently doable so far as I know. SAP HANA is the most prominent in-memory database system, but while the HANA database has a column store option and handles multidimensional (OLAP) analyses, but I don’t believe you can embed serious analytics in-database. Similarly, Kognitio‘s in-memory analytical platform doesn’t support in-database analytics.
Putting aside capacity questions, analytical-routine availability is a key factor. You may not have a choice, if implementations of the algorithms you need are available or can be programmed in-memory or in-database but not both.
Heterogeneous Environments
Looking ahead, two premises I will state are that as tempting as it is to try to handle all work in-memory, disk-reliant analytical database systems — relational like Teradata and others I’ve cited, or NoSQL — will remain a corporate reality for a while to come, and that neither DBMS-embedded analytics nor in-memory analytics will completely meet enterprise BI needs anytime soon. Software companies such as TIBCO and Teradata, with duplicative predictive-analytics capabilities, would not partner if they were able to go it alone.
So you’re left with what we used to call systems analysis, and with experimenting, to see what works best given your own mix of data (volume, type, and pace), analytical routines, user workload, and management and administration requirements.
Enterprise IT environments are heterogeneous, meeting diverse demands. Flexibility and systems interoperability are musts for partial-solution vendors including both in-memory and DBMS-centered analytics providers. Flexibility and systems interoperability are must-haves for the earlier-generation analytics, the next, and the analytics generations after next as far as the eye can see.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
I used Spotfire few months ago and I noticed the following pros: it is a very intuitive design tool, once the user learn one thing, it's quite easy to use that knowledge to do something else. Marking visualization components is very intuitive and easy to understand. The tool is also very easy to customize. On the other hand, the GUI is poorly designed and difficult to use.
Consultant at a consultancy with 1,001-5,000 employees
I have used it to develop visualizations that have identified historical trends that allowed an organization focus its operations to reduce injuries.
What is most valuable?
- Ability to handle large amounts of data from multiple sources and quickly visualize it for users.
- Connectivity to widely used data management (MDM) solutions in place in most organizations
- Easy to train users in how to use the dashboards, visualizations and maximize their performance as users
How has it helped my organization?
From a safety standpoint, I have developed visualizations that have highlighted trends in past history. When identified, they helped the business determine where to put more focus and consciousness in operations so that they can reduce injuries.
What needs improvement?
I would like to see improved mobile capabilities.
I would like more functionality in the formatting of the pages so that they can have more of an application with the look and feel of other custom-developed solutions with the organization.
For how long have I used the solution?
I have used it for eight years.
What was my experience with deployment of the solution?
I have never had issues with deployment or scalability, TIBCO offers different versions to fit customers’ needs (desktop, web based, etc.).
How are customer service and technical support?
Technical support is average; however, the user conferences that are held regionally and nationally provide a lot of value.
Which solution did I use previously and why did I switch?
I previously used Oracle OBIEE. We switched because:
- Development time was too long.
- Overhead of resources required to maintain it was too high.
- Spotfire will offer very fast enterprise data and visualization capabilities in a short amount of time.
How was the initial setup?
Initial setup is straightforward; there are downloads that you perform in order that make it easier than it used to be, but it is not quite plug and play for an enterprise implementation.
What about the implementation team?
I implemented it with an in-house team.
You may not need one, but establish a contact number at TIBCO for extra help should you encounter problems.
What was our ROI?
ROI depends on the maturity and adoption of the organization. Spotfire can have an exponentially higher ROI than what it costs, if implemented well, adoption programs are in place and users are trained.
What's my experience with pricing, setup cost, and licensing?
Users can license and download directly from the TIBCO website and be active within minutes.
What other advice do I have?
I highly recommend Spotfire.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: December 2024
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TIBCO Spotfire Use Cases and Deployment Scope
We use TIBCO Spotfire across the whole organization in order to mesure the performance of the business and different KPIs.
TIBCO Spotfire Pros
Analytic tools
Go in deep from the general picture to details
The different ways to show the data
TIBCO Spotfire Cons
Configure the access to different users
R is more powerful in statistics terms
Freehand joins is not enough
Connection with Google Analytics should be direct