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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Data Science Workbench

    Score6.7 out of 10
    N/ACloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.N/A

    Spotfire

    Score8.1 out of 10
    N/ASpotfire, 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
    Data Science WorkbenchSpotfire
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Data Science WorkbenchSpotfire
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsFor Enterprise engagements, contact Spotfire directly for a custom price quote.
    More Pricing Information
    Community Pulse
    Data Science WorkbenchSpotfire
    Considered Both Products
    Cloudera
    No answer on this topic
    Spotfire
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    92%
    Would buy again
    45 Answers
    Delivers good value for the price
    No answers on this topic
    97%
    Delivers good value for the price
    38 Answers
    Happy with the feature set
    No answers on this topic
    96%
    Happy with the feature set
    47 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    31 Answers
    Implementation went as expected
    No answers on this topic
    94%
    Implementation went as expected
    33 Answers
    Features
    Data Science WorkbenchSpotfire
    Platform Connectivity
    Comparison of Platform Connectivity features of Cloudera Data Science Workbench and Spotfire
    Feature
    Cloudera Data Science Workbench
    7.5
    2 Ratings
    11% below category average
    Spotfire
    7.2
    8 Ratings
    15% below category average
    Connect to Multiple Data Sources7.02 Ratings7.88 Ratings
    Extend Existing Data Sources8.02 Ratings7.48 Ratings
    Automatic Data Format Detection7.02 Ratings7.88 Ratings
    MDM Integration8.02 Ratings6.05 Ratings
    Data Exploration
    Comparison of Data Exploration features of Cloudera Data Science Workbench and Spotfire
    Feature
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    10% below category average
    Spotfire
    9.1
    8 Ratings
    8% above category average
    Visualization7.12 Ratings9.08 Ratings
    Interactive Data Analysis8.02 Ratings9.28 Ratings
    Data Preparation
    Comparison of Data Preparation features of Cloudera Data Science Workbench and Spotfire
    Feature
    Cloudera Data Science Workbench
    7.8
    2 Ratings
    4% below category average
    Spotfire
    7.4
    8 Ratings
    10% below category average
    Interactive Data Cleaning and Enrichment7.02 Ratings7.28 Ratings
    Data Transformations8.02 Ratings8.08 Ratings
    Data Encryption8.02 Ratings7.05 Ratings
    Built-in Processors8.02 Ratings7.55 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Cloudera Data Science Workbench and Spotfire
    Feature
    Cloudera Data Science Workbench
    7.6
    2 Ratings
    10% below category average
    Spotfire
    7.6
    8 Ratings
    10% below category average
    Multiple Model Development Languages and Tools8.02 Ratings7.57 Ratings
    Automated Machine Learning7.01 Ratings8.55 Ratings
    Single platform for multiple model development7.12 Ratings7.68 Ratings
    Self-Service Model Delivery8.12 Ratings6.76 Ratings
    Model Deployment
    Comparison of Model Deployment features of Cloudera Data Science Workbench and Spotfire
    Feature
    Cloudera Data Science Workbench
    8.0
    2 Ratings
    6% below category average
    Spotfire
    7.4
    7 Ratings
    14% below category average
    Flexible Model Publishing Options8.12 Ratings7.87 Ratings
    Security, Governance, and Cost Controls7.82 Ratings7.07 Ratings
    User Ratings
    Data Science WorkbenchSpotfire
    Likelihood to Recommend
    9.0
    (3 ratings)
    8.4
    (351 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.6
    (30 ratings)
    Usability
    -
    (0 ratings)
    8.0
    (27 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (14 ratings)
    Performance
    -
    (0 ratings)
    7.1
    (14 ratings)
    Support Rating
    7.9
    (2 ratings)
    8.7
    (27 ratings)
    In-Person Training
    -
    (0 ratings)
    8.3
    (52 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (55 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.4
    (17 ratings)
    Configurability
    -
    (0 ratings)
    7.1
    (3 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.5
    (36 ratings)
    Data Sources
    -
    (0 ratings)
    9.3
    (36 ratings)
    Ease of integration
    -
    (0 ratings)
    7.0
    (2 ratings)
    Product Scalability
    -
    (0 ratings)
    7.0
    (4 ratings)
    Vendor post-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Data Science WorkbenchSpotfire
    Likelihood to Recommend
    Cloudera
    No answers on this topic
    Spotfire
    A high level of data integration is available here it supports various data sources and so on. Collaborating features allow users to give access to the dashboard and merge data analytics with other team members. It can meet the demands of both small and large size business enterprises. A customized dashboard and reports are provided to meet the specific needs and get support of extensibility through APIs and customized scripts.
    Incentivized
    Read full review
    Pros
    Cloudera
    • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
    • For larger organizations/teams, it lets you be self reliant
    • As it sits on your cluster, it has very easy access of all the data on the HDFS
    • Linking with Github is a very good way to keep the code versions intact
    Incentivized
    Read full review
    Spotfire
    • 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
    Incentivized
    Read full review
    Cons
    Cloudera
    No answers on this topic
    Spotfire
    • The donut chart is I guess a powerful illustrations but I hope it should be done quite simple in Spotfire. But in Spotfire there are lots of steps involve just to build a simple donut chart.
    • Table calculation (like Row or Column Differences) should be made simple or there should be drag and drop function for Table Calculation. No need for scripting.
    • Information Link should be changed. If new columns are added to the table just refreshing the data should be able to capture the new column. No need extra step to add column
    Incentivized
    Read full review
    Likelihood to Renew
    Cloudera
    No answers on this topic
    Spotfire
    -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.
    Read full review
    Usability
    Cloudera
    No answers on this topic
    Spotfire
    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.
    Incentivized
    Read full review
    Reliability and Availability
    Cloudera
    No answers on this topic
    Spotfire
    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.
    Read full review
    Performance
    Cloudera
    No answers on this topic
    Spotfire
    No answers on this topic
    Support Rating
    Cloudera
    No answers on this topic
    Spotfire
    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.
    Incentivized
    Read full review
    In-Person Training
    Cloudera
    No answers on this topic
    Spotfire
    No answers on this topic
    Online Training
    Cloudera
    No answers on this topic
    Spotfire
    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.)
    Incentivized
    Read full review
    Implementation Rating
    Cloudera
    No answers on this topic
    Spotfire
    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.
    Read full review
    Alternatives Considered
    Cloudera
    Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
    Incentivized
    Read full review
    Spotfire
    No answers on this topic
    Scalability
    Cloudera
    No answers on this topic
    Spotfire
    No answers on this topic
    Return on Investment
    Cloudera
    No answers on this topic
    Spotfire
    No answers on this topic
    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