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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    dbt

    Score9.2 out of 10
    N/Adbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.

    $0

    per month per seat

    Mathematica

    Score7 out of 10
    N/AWolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

    $1,520

    per year

    Pricing
    dbtMathematica
    Editions & Modules
    No answers on this topic
    Standard Cloud
    $1,520
    per year
    Standard Desktop
    $3,040
    one-time fee
    Standard Desktop & Cloud
    $3,344
    one-time fee
    Mathematica Enterprise Edition
    $8,150.00
    one-time fee
    Offerings
    Pricing Offerings
    dbtMathematica
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo 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.
    More Pricing Information
    Community Pulse
    dbtMathematica
    Considered Both Products
    dbt Labs
    No answer on this topic
    Wolfram
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    No answers on this topic
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    No answers on this topic
    Features
    dbtMathematica
    Data Transformations
    Comparison of Data Transformations features of dbt and Wolfram Mathematica
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    Wolfram Mathematica
    -
    Ratings
    Simple transformations10.08 Ratings00 Ratings
    Complex transformations9.58 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and Wolfram Mathematica
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    Wolfram Mathematica
    -
    Ratings
    Data model creation9.88 Ratings00 Ratings
    Metadata management8.88 Ratings00 Ratings
    Business rules and workflow9.08 Ratings00 Ratings
    Collaboration10.06 Ratings00 Ratings
    Testing and debugging8.08 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of dbt and Wolfram Mathematica
    Feature
    dbt
    -
    Ratings
    Wolfram Mathematica
    9.9
    6 Ratings
    20% above category average
    Pixel Perfect reports00 Ratings9.84 Ratings
    Customizable dashboards00 Ratings9.94 Ratings
    Report Formatting Templates00 Ratings9.96 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of dbt and Wolfram Mathematica
    Feature
    dbt
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    23% above category average
    Drill-down analysis00 Ratings9.98 Ratings
    Formatting capabilities00 Ratings9.98 Ratings
    Integration with R or other statistical packages00 Ratings9.97 Ratings
    Report sharing and collaboration00 Ratings9.99 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of dbt and Wolfram Mathematica
    Feature
    dbt
    -
    Ratings
    Wolfram Mathematica
    9.3
    8 Ratings
    13% above category average
    Publish to Web00 Ratings9.97 Ratings
    Publish to PDF00 Ratings9.08 Ratings
    Report Versioning00 Ratings9.97 Ratings
    Report Delivery Scheduling00 Ratings8.95 Ratings
    Delivery to Remote Servers00 Ratings8.95 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of dbt and Wolfram Mathematica
    Feature
    dbt
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    24% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.99 Ratings
    Location Analytics / Geographic Visualization00 Ratings9.98 Ratings
    Predictive Analytics00 Ratings9.98 Ratings
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    dbtMathematica
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtMathematica
    Likelihood to Recommend
    10.0
    (10 ratings)
    9.9
    (9 ratings)
    Usability
    9.8
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    9.5
    (2 ratings)
    User Testimonials
    dbtMathematica
    Likelihood to Recommend
    dbt Labs
    The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.
    Incentivized
    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
    dbt Labs
    • dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
    • dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
    • dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
    • dbt can be easily integrated with snowflake.
    Incentivized
    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.
    Incentivized
    Read full review
    Cons
    dbt Labs
    • Field-level lineage (currently at table level)
    • Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
    • Adding python model support (in beta now)
    Incentivized
    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.
    Incentivized
    Read full review
    Usability
    dbt Labs
    dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Support Rating
    dbt Labs
    No answers on this topic
    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.
    Incentivized
    Read full review
    Alternatives Considered
    dbt Labs
    I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.
    Incentivized
    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.
    Incentivized
    Read full review
    Return on Investment
    dbt Labs
    • Simplified our BI layer for faster load times
    • Increased the quality of data reaching our end users
    • Makes complex transformations manageable
    Incentivized
    Read full review
    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
    Incentivized
    Read full review
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