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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

    Tableau Prep

    Score6.3 out of 10
    N/ATableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation simple, and integration with the Tableau analytical workflow allows for faster speed to insight. Tableau Prep allows users to connect to data on-premises or in the cloud, whether it’s a database or a…

    $15

    per month billed annually per user

    Pricing
    dbtTableau Prep
    Editions & Modules
    No answers on this topic
    Viewer
    $15
    per month billed annually per user
    Explorer
    $42
    per month billed annually per user
    Creator
    $70
    per month billed annually per user
    Offerings
    Pricing Offerings
    dbtTableau Prep
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    dbtTableau Prep
    Considered Both Products
    dbt Labs
    Chose dbt
    Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt.
    Incentivized
    Tableau
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    100%
    Would buy again
    6 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    83%
    Delivers good value for the price
    5 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    100%
    Happy with the feature set
    6 Answers
    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
    100%
    Implementation went as expected
    5 Answers
    Features
    dbtTableau Prep
    Data Transformations
    Comparison of Data Transformations features of dbt and Tableau Prep
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    Tableau Prep
    -
    Ratings
    Simple transformations10.08 Ratings00 Ratings
    Complex transformations9.68 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and Tableau Prep
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    Tableau Prep
    -
    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
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    dbtTableau Prep
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    Score8.3 out of 10
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtTableau Prep
    Likelihood to Recommend
    10.0
    (10 ratings)
    9.0
    (7 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    Usability
    9.8
    (3 ratings)
    7.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    5.3
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.0
    (1 ratings)
    User Testimonials
    dbtTableau Prep
    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
    Tableau
    If your data sets are coming in without much stewardship then Tableau Prep can help to clean the data before you start trying to create visualizations for your end users. You will save a lot of time this way - rather than seeing problems once you are creating dashboards. If you don't have large data sets or your data is relatively simple, then Tableau Prep may not be needed.
    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
    Tableau
    • Display the raw data coming in from the data warehouse
    • Point out situations that might be erroneous
    • Show the distribution of raw data figures
    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
    Tableau
    • Use of Macros within Workflow (and more types of automation)
    • Join Editor also giving a SQL Update Query
    • More types of visuals
    Incentivized
    Read full review
    Likelihood to Renew
    dbt Labs
    No answers on this topic
    Tableau
    It is a valuable tool for generating and cleaning files for multiple purposes.
    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
    Tableau
    It works well and is user friendly for the basics but needs more options for bring in data (using SQL queries for example) and export format options.
    Incentivized
    Read full review
    Support Rating
    dbt Labs
    No answers on this topic
    Tableau
    I have not really had to reach out for any kind of customer support for Tableau Prep, so I can't really say. However, the support that Tableau has given for their other products has been great, so I would assume it would be the same here. They are also constantly adding new features and providing software updates, and that is always a plus.
    Incentivized
    Read full review
    Implementation Rating
    dbt Labs
    No answers on this topic
    Tableau
    Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
    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
    Tableau
    Before Prep, we had to do all the data joining and connecting in a Tableau Workbook. Not only did this cause workbooks connected with live data to run frustratingly slowly, a new connection and set-up had to be established every time a new workbook as created, even if you were working with the same data. The extracts produced by Prep allow several workbooks to be working from the same data set-up without any additional work, saving time and stress.
    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
    Tableau
    • Quicker data sets for online reports
    • More efficient data cleaning Ad Hoc reports
    • Costly if using data management to schedule data pull and cleaning (priced per viewer accounts not creator accounts)
    Incentivized
    Read full review
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