What users are saying about
62 Ratings
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Score 8.6 out of 100
31 Ratings
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Score 9.2 out of 100

Feature Set Ratings

    BI Standard Reporting

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    9.8

    Mathematica

    98%
    Wolfram Mathematica ranks higher in 3/3 features

    Pixel Perfect reports

    N/A
    0 Ratings
    9.7
    97%
    4 Ratings

    Customizable dashboards

    N/A
    0 Ratings
    9.9
    99%
    4 Ratings

    Report Formatting Templates

    N/A
    0 Ratings
    9.9
    99%
    6 Ratings

    Ad-hoc Reporting

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    9.8

    Mathematica

    98%
    Wolfram Mathematica ranks higher in 4/4 features

    Drill-down analysis

    N/A
    0 Ratings
    9.8
    98%
    8 Ratings

    Formatting capabilities

    N/A
    0 Ratings
    9.8
    98%
    8 Ratings

    Integration with R or other statistical packages

    N/A
    0 Ratings
    9.9
    99%
    7 Ratings

    Report sharing and collaboration

    N/A
    0 Ratings
    9.8
    98%
    9 Ratings

    Report Output and Scheduling

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    9.3

    Mathematica

    93%
    Wolfram Mathematica ranks higher in 5/5 features

    Publish to Web

    N/A
    0 Ratings
    9.8
    98%
    7 Ratings

    Publish to PDF

    N/A
    0 Ratings
    8.9
    89%
    8 Ratings

    Report Versioning

    N/A
    0 Ratings
    9.8
    98%
    7 Ratings

    Report Delivery Scheduling

    N/A
    0 Ratings
    8.9
    89%
    5 Ratings

    Delivery to Remote Servers

    N/A
    0 Ratings
    8.8
    88%
    5 Ratings

    Data Discovery and Visualization

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    9.8

    Mathematica

    98%
    Wolfram Mathematica ranks higher in 3/3 features

    Pre-built visualization formats (heatmaps, scatter plots etc.)

    N/A
    0 Ratings
    9.8
    98%
    9 Ratings

    Location Analytics / Geographic Visualization

    N/A
    0 Ratings
    9.8
    98%
    8 Ratings

    Predictive Analytics

    N/A
    0 Ratings
    9.8
    98%
    8 Ratings

    Attribute Ratings

    • Wolfram Mathematica is rated higher in 2 areas: Likelihood to Recommend, Support Rating

    Likelihood to Recommend

    8.7

    Databricks Lakehouse Platform

    87%
    15 Ratings
    9.9

    Mathematica

    99%
    9 Ratings

    Usability

    9.0

    Databricks Lakehouse Platform

    90%
    3 Ratings

    Mathematica

    N/A
    0 Ratings

    Support Rating

    7.6

    Databricks Lakehouse Platform

    76%
    2 Ratings
    9.5

    Mathematica

    95%
    2 Ratings

    Contract Terms and Pricing Model

    8.0

    Databricks Lakehouse Platform

    80%
    1 Rating

    Mathematica

    N/A
    0 Ratings

    Professional Services

    10.0

    Databricks Lakehouse Platform

    100%
    1 Rating

    Mathematica

    N/A
    0 Ratings

    Likelihood to Recommend

    Databricks

    If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
    Read full review

    Wolfram

    We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.
    Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
    Read full review

    Pros

    Databricks

    • Process raw data in One Lake (S3) env to relational tables and views
    • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
    • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
    • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
    Read full review

    Wolfram

    • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
    • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
    • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
    Read full review

    Cons

    Databricks

    • Better Localized Testing
    • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
    • Graphing Support went non-existent; when it was one of their compelling general engine.
    Read full review

    Wolfram

    • Should include more libraries and functions.
    • Should include more functions that can be used in Machine Learning.
    • Should include more functions that can be used in Data Science.
    Read full review

    Pricing Details

    Databricks Lakehouse Platform

    Starting Price

    $0.07 Per DBU

    Editions & Modules

    Databricks Lakehouse Platform editions and modules pricing
    EditionModules
    Standard$0.071
    Premium$0.102
    Enterprise$0.133

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Mathematica

    Starting Price

    $0 one-time fee

    Editions & Modules

    Mathematica editions and modules pricing
    EditionModules
    Mathematica Enterprise Edition$8,150.001
    Standard Desktop$3,0402
    Standard Desktop & Cloud$3,3443
    Standard Cloud$1,5204

    Footnotes

    1. one-time fee
    2. one-time fee
    3. one-time fee
    4. per year

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Discounts available for students and educational institutions. The Network Edition reduce per-user license costs through shared deployment across any number of machines on a local-area network.

    Usability

    Databricks

    Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

    in terms of graph generation and interaction it could improve their UI and UX
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    Wolfram

    No answers on this topic

    Support Rating

    Databricks

    One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
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    Wolfram

    Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
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    Alternatives Considered

    Databricks

    Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
    Read full review

    Wolfram

    We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models. Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
    Read full review

    Contract Terms and Pricing Model

    Databricks

    The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
    Read full review

    Wolfram

    No answers on this topic

    Professional Services

    Databricks

    Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
    Read full review

    Wolfram

    No answers on this topic

    Return on Investment

    Databricks

    • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
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    Wolfram

    • Easy to solve huge mathematical equations, so it saved time there
    • Doing analysis and plotting graphs is also another plus point
    • Learning is very slow, and it took lot of time to learn its scripting language
    Read full review

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