The Collibra Platform is a cloud-based data governance platform from the company of the same name in Brussels, enabling users to gain visibility into their data, collaborate intelligently and enable users to easily access trustworthy data, automate processes, manage compliance and, ultimately, make data meaningful.
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TIBCO Spotfire
Score 7.7 out of 10
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TIBCO 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.
$0.99
Per Hour (Starting)
Pricing
Collibra Data Intelligence Cloud
TIBCO Spotfire
Editions & Modules
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TIBCO Spotfire for Amazon Web Services
$0.99
Per Hour (Starting)
TIBCO Cloud Spotfire - Consumer
$250/yr
per seat
TIBCO Cloud Spotfire - Business Author
$650/yr
per seat
TIBCO Cloud Spotfire - Analyst
$1250/yr
per seat
TIBCO Spotfire Platform
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TIBCO Spotfire Cloud Enterprise
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Offerings
Pricing Offerings
Collibra
TIBCO Spotfire
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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For Enterprise engagements, please contact TIBCO directly for a custom price quote.
Collibra is well suited where you have multiple reporting environments and multiple source systems. Collibra works well in our environment because we can delegate roles and administration to departments or it can be used in a centralized environment. The ability to customize attributes and assets as well and integrate using the rest api is very important to us.
In the case of survey analysis, I used Spotfire for multi-dimensional analysis. My customer usually received just one-dimensional answers from the analyzer. But I analyzed/showed each question from a multi-dimensional point of view for each question. So customers could understand each question more deeply and quickly for customers' thinking.
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.
-Easy to distribute information throughout the enterprise using the webplayer. -Ad hoc analysis is possible throughout the enterprise using business author in the webplayer or the thick client. -Low level of support needed by IT team. Access interfaces with LDAP and numerous other authentication methods. -Possible to continually extend the platform with JavaScript, R scripts, HTML, and custom extensions. -Ability to standardize data logic through pre-built queries in the Information Designer. Everyone in the enterprise is using the same logic -Tagging and bookmarking data allows for quick sharing of insights. -Integration with numerous data sources... flat files, data bases, big data, images, etc. -Much improved mapping capability. Also includes the ability to apply data points over any image.
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.
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.
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.
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.
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).
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.)
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.
Collibra offers more features [than alternatives] and is easy for business users to use. We did a proof of concept with Collibra using the Cloud service that allowed us to kick the tires and get a comfort level before we made the investment. At the time of our purchase the market was very immature and is continuing to evolve.
TIBCO Spotfire is significantly ahead of both products from an ETL and data ingestion capability. TIBCO Spotfire also has substantially better visualizations than Power BI, and although the native visualizations aren't as flexible in Tableau, TIBCO Spotfire enables users to create completely custom javascript visaualizations, which neither Tableau or Power BI has. Tableau and Power BI are likely only superior to TIBCO Spotfire with respect to embedded analysis on a website.
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,
ROI is hard to measure because there are so many soft benefits that come from the tool. We do have a variety of metrics that we track using Collibra to better gauge the maturity of data governance.
I have to 'rebuild' the course sample files and accounts on Spotfire every semester.
It is perfect as an excellent alternative to Tableau in the course.
We have to use the less powerful Cloud version since the majority of the students have Macs. This means we can't use advanced AI features, for example.
