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113 Ratings
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673 Ratings
113 Ratings
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Score 8.4 out of 101

TIBCO Spotfire

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Score 8.5 out of 101

Likelihood to Recommend

Apache Spark

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
Thomas Young profile photo

TIBCO Spotfire

Suitable for even large numbers of data points in both the chemical or biological data domains. Also powerful when calculated columns are to be inserted into tables. The filter and label function is a very powerful feature when subsetting data within one Spotfire project. It is also capable of exporting sheets to PDF format, so it is also convenient to share key findings with others. It is less appropriate for chemical data in less mainstream formats (e.g SDF, MOL2).
Lewis Mervin profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
TIBCO Spotfire
7.8
Pixel Perfect reports
Apache Spark
TIBCO Spotfire
7.1
Customizable dashboards
Apache Spark
TIBCO Spotfire
8.4
Report Formatting Templates
Apache Spark
TIBCO Spotfire
7.7

Ad-hoc Reporting

Apache Spark
TIBCO Spotfire
8.0
Drill-down analysis
Apache Spark
TIBCO Spotfire
8.5
Formatting capabilities
Apache Spark
TIBCO Spotfire
7.5
Integration with R or other statistical packages
Apache Spark
TIBCO Spotfire
8.1
Report sharing and collaboration
Apache Spark
TIBCO Spotfire
8.0

Report Output and Scheduling

Apache Spark
TIBCO Spotfire
8.0
Publish to Web
Apache Spark
TIBCO Spotfire
8.3
Publish to PDF
Apache Spark
TIBCO Spotfire
8.0
Report Versioning
Apache Spark
TIBCO Spotfire
8.0
Report Delivery Scheduling
Apache Spark
TIBCO Spotfire
7.8

Data Discovery and Visualization

Apache Spark
TIBCO Spotfire
8.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
TIBCO Spotfire
8.6
Location Analytics / Geographic Visualization
Apache Spark
TIBCO Spotfire
8.5
Predictive Analytics
Apache Spark
TIBCO Spotfire
7.7

Access Control and Security

Apache Spark
TIBCO Spotfire
8.4
Multi-User Support (named login)
Apache Spark
TIBCO Spotfire
8.4
Role-Based Security Model
Apache Spark
TIBCO Spotfire
8.4
Multiple Access Permission Levels (Create, Read, Delete)
Apache Spark
TIBCO Spotfire
8.3

Mobile Capabilities

Apache Spark
TIBCO Spotfire
6.6
Responsive Design for Web Access
Apache Spark
TIBCO Spotfire
7.5
Dedicated iOS Application
Apache Spark
TIBCO Spotfire
7.8
Dedicated Android Application
Apache Spark
TIBCO Spotfire
3.4
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
TIBCO Spotfire
7.6

Application Program Interfaces (APIs) / Embedding

Apache Spark
TIBCO Spotfire
7.3
REST API
Apache Spark
TIBCO Spotfire
7.5
Javascript API
Apache Spark
TIBCO Spotfire
7.4
iFrames
Apache Spark
TIBCO Spotfire
7.2
Java API
Apache Spark
TIBCO Spotfire
7.1
Themeable User Interface (UI)
Apache Spark
TIBCO Spotfire
7.3
Customizable Platform (Open Source)
Apache Spark
TIBCO Spotfire
7.3

Pros

Apache Spark

  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy profile photo

TIBCO Spotfire

  • Cross tables. Most people call them pivot tables perhaps, from the excel version, but Spotfire does them so much better! Easier to build and arrange, and with tons more options than the excel pivot table.
  • Mapping. The improved mapping capabilities of Spotfire along with its ease of use, allow you to build fabulous looking maps very quickly.
  • Aggregation. Spotfire is built to aggregate, and it does this better and faster than anything else I know of.
Jonathan Tucker profile photo

Cons

Apache Spark

  • Memory management. Very weak on that.
  • PySpark not as robust as scala with spark.
  • spark master HA is needed. Not as HA as it should be.
  • Locality should not be a necessity, but does help improvement. But would prefer no locality
Anson Abraham profile photo

TIBCO Spotfire

  • Feature parity between web publishing and the Spotfire client: some features of Spotfire that work flawlessly in the Spotfire client break when published to the web. In particular, custom JavaScript inserted into the analysis tends not to render well on the web even if it renders perfectly in the client.
  • Lack of thorough documentation: particularly when comparing Spotfire documentation to the documentation for Python, JMP, or Matlab, Spotfire's documentation is lacking. In particular, I remember finding documentation on custom SQL queries being very sparse. Most often I would base my Spotfire solutions on examples found on forums rather than on official TIBCO advice.
  • The execution time of custom R data functions: TIBCO Spotfire uses its own implementation of the R runtime (called TERR, TIBCO Enterprise Runtime for R) which I noticed to be significantly slower than the open-source runtime for certain tasks.
  • Error reporting: error reporting by both TERR and IronPython is very opaque and makes debugging very difficult.
Josh Smith profile photo

Likelihood to Renew

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 8.1
Based on 27 answers
-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.
Brent Meyers profile photo

Usability

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 8.6
Based on 21 answers
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.
Brock Robertson profile photo

Reliability and Availability

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 8.0
Based on 12 answers
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.
Alex Naumov profile photo

Performance

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 9.0
Based on 12 answers
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.
Cordell Yin profile photo

Support

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 10.0
Based on 22 answers
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.
Tim Daciuk profile photo

In-Person Training

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 7.7
Based on 52 answers
I have only had the basic training. It was very useful for new users. The majority of what is taught in the training can be self-taught by daily use of the product. However there were also many things I learned even after using the product for over a year. I would highly recommend investing in the training offered by TIBCO
Cal Humphrey profile photo

Online Training

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 7.9
Based on 54 answers
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.)
Emilie Wheeler profile photo

Implementation

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 7.2
Based on 14 answers
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.
Michael Soliman profile photo

Alternatives Considered

Apache Spark

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
No photo available

TIBCO Spotfire

The advantage of Spotfire over Tableau or Domo is the advanced modeling capabilities. Although Tableau and Domo have created interfaces with R, they are nowhere near as easy to implement as they are in Spotfire. The advantage of Spotfire over SAS Enterprise Miner is the broader range of easily created visualizations that don't require an experienced data scientist. Spotfire, of course, does not have some of the advanced modeling capabilities of say a SAS Enterprise Miner nor the zooming ability that Qlick Sense offers. Overall, it stacks up well.
Thomas Young profile photo

Scalability

Apache Spark

No score
No answers yet
No answers on this topic

TIBCO Spotfire

TIBCO Spotfire 9.0
Based on 2 answers
The program has proved to be very useful and allows for analyzing various forms of data.
Justin Ricker profile photo

Return on Investment

Apache Spark

  • It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
  • Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
  • It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.
Carla Borges profile photo

TIBCO Spotfire

  • Interactive reporting, slice and dice.
  • Time saving as the Web player can be used for analyzing data interactively.
  • Analytics and visualization in the same tool.
  • Primarily business intelligence and reporting costs are saved once it is set up with the ability to dissect data in a useful manner without the need for an extensive reporting team. This is useful in terms of cost savings.
Prabhu Ramamoorthy profile photo

Screenshots

Pricing Details

Apache Spark

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Apache Spark Editions & Modules

Additional Pricing Details

TIBCO Spotfire

General

Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
No

TIBCO Spotfire Editions & Modules

On-premise Edition
TIBCO Spotfire PlatformPlease contact TIBCO sales
    SaaS Edition
    TIBCO Cloud Spotfire - Analyst$125/mo, $1250/yr1
    TIBCO Cloud Spotfire - Business Author$65/mo, $650/yr1
    TIBCO Spotfire for Amazon Web Services$0.992
    TIBCO Spotfire Cloud EnterprisePlease contact TIBCO sales
    TIBCO Cloud Spotfire - Consumer$25/mo, $250/yr4
    1. Per Seat
    2. Per Hour (Starting)
    3. Per Seat
    Additional Pricing Details
    For Enterprise engagements, please contact TIBCO directly for a custom price quote.

    Rating Summary

    Likelihood to Recommend

    Apache Spark
    8.5
    TIBCO Spotfire
    8.6

    Likelihood to Renew

    Apache Spark
    TIBCO Spotfire
    8.1

    Usability

    Apache Spark
    TIBCO Spotfire
    8.6

    Reliability and Availability

    Apache Spark
    TIBCO Spotfire
    8.0

    Performance

    Apache Spark
    TIBCO Spotfire
    9.0

    Support

    Apache Spark
    TIBCO Spotfire
    10.0

    In-Person Training

    Apache Spark
    TIBCO Spotfire
    7.7

    Online Training

    Apache Spark
    TIBCO Spotfire
    7.9

    Implementation

    Apache Spark
    TIBCO Spotfire
    7.2

    Scalability

    Apache Spark
    TIBCO Spotfire
    9.0

    Add comparison