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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

    PyCharm

    Score9.3 out of 10
    N/APyCharm is an extensive Integrated Development Environment (IDE) for Python developers. Its arsenal includes intelligent code completion, error detection, and rapid problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable code by offering PEP8 checks, testing assistance, intelligent refactorings, and inspections. Moreover, it caters to web development frameworks like Django and Flask by providing framework…

    $9.90

    per month per user

    Pricing
    dbtPyCharm
    Editions & Modules
    No answers on this topic
    For Individuals
    $99
    per year per user
    All Products Pack for Organizations
    $249
    per year per user
    All Products Pack for Individuals
    $289
    per year per user
    For Organizations
    $779
    per year per user
    Offerings
    Pricing Offerings
    dbtPyCharm
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    dbtPyCharm
    Considered Both Products
    dbt Labs
    No answer on this topic
    JetBrains
    Chose PyCharm
    It is more complete and can handle more projects at the same time. On the other hand, Visual Studio Code has better integration with LMS to help you code. PyCharm allows you to integrate with many external tools and external servers that Visual Studio Code has difficulties with.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    96%
    Would buy again
    23 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    96%
    Delivers good value for the price
    22 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    96%
    Happy with the feature set
    23 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    100%
    Lived up to sales and marketing promises
    16 Answers
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    100%
    Implementation went as expected
    23 Answers
    Features
    dbtPyCharm
    Data Transformations
    Comparison of Data Transformations features of dbt and PyCharm
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    PyCharm
    -
    Ratings
    Simple transformations10.08 Ratings00 Ratings
    Complex transformations9.58 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and PyCharm
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    PyCharm
    -
    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
    Best Alternatives
    dbtPyCharm
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    Skyvia
    Score10 out of 10
    Visual Studio
    Score8.8 out of 10
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    IntelliJ IDEA
    Score9.2 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    WebStorm
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtPyCharm
    Likelihood to Recommend
    10.0
    (10 ratings)
    9.6
    (42 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (2 ratings)
    Usability
    9.8
    (3 ratings)
    9.6
    (4 ratings)
    Support Rating
    -
    (0 ratings)
    8.3
    (13 ratings)
    User Testimonials
    dbtPyCharm
    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
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    JetBrains
    PyCharm is well suited to developing and deploying Python applications in the cloud using Kubernetes or serverless pipelines. The integration with GitLab is great; merges and rebates are easily done and help the developer move quickly. The search engine that allows you to search inside your code is also great. It is less appropriate for other languages.
    Incentivized
    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
    JetBrains
    • Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
    • Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
    • Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
    • Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
    Incentivized
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    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
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    JetBrains
    • The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
    Incentivized
    Read full review
    Likelihood to Renew
    dbt Labs
    No answers on this topic
    JetBrains
    It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
    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
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    JetBrains
    It's pretty easy to use, but if it's your first time using it, you need time to adapt. Nevertheless, it has a lot of options, and everything is pretty easy to find. The console has a lot of advantages and lets you accelerate your development from the first day.
    Incentivized
    Read full review
    Support Rating
    dbt Labs
    No answers on this topic
    JetBrains
    I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
    Incentivized
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    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
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    JetBrains
    When it comes to development and debugging PyCharm is better than Spyder as it provides good debugging support and top-quality code completion suggestions. Compared to Jupiter notebook it's easy to install required packages in PyCharm, also PyChram is a good option when we want to write production-grade code because it provides required suggestions.
    Incentivized
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    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
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    JetBrains
    • PyCharm has a very positive ROI for our BU. It has increased developer productivity exponentially.
    • Software quality has significantly improved. We are able to refactor/test/debug the code quicker/faster/better.
    • Our business unit is able to deliver faster. Customers are happier than ever.
    Incentivized
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