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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Bugzilla

    Score8.5 out of 10
    N/AN/AN/A

    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

    Pricing
    Bugzilladbt
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Bugzilladbt
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Bugzilladbt
    Considered Both Products
    Open Source
    No answer on this topic
    dbt Labs
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    10 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    8 Answers
    Implementation went as expected
    No answers on this topic
    90%
    Implementation went as expected
    9 Answers
    Features
    Bugzilladbt
    Data Transformations
    Comparison of Data Transformations features of Bugzilla and dbt
    Feature
    Bugzilla
    -
    Ratings
    dbt
    9.8
    8 Ratings
    19% above category average
    Simple transformations00 Ratings10.08 Ratings
    Complex transformations00 Ratings9.58 Ratings
    Data Modeling
    Comparison of Data Modeling features of Bugzilla and dbt
    Feature
    Bugzilla
    -
    Ratings
    dbt
    9.1
    8 Ratings
    14% above category average
    Data model creation00 Ratings9.88 Ratings
    Metadata management00 Ratings8.88 Ratings
    Business rules and workflow00 Ratings9.08 Ratings
    Collaboration00 Ratings10.06 Ratings
    Testing and debugging00 Ratings8.08 Ratings
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    Score10 out of 10
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    SolarWinds Task Factory
    Score8.3 out of 10
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    User Ratings
    Bugzilladbt
    Likelihood to Recommend
    7.7
    (18 ratings)
    10.0
    (10 ratings)
    Likelihood to Renew
    6.0
    (10 ratings)
    -
    (0 ratings)
    Usability
    9.0
    (3 ratings)
    9.8
    (3 ratings)
    Availability
    9.0
    (3 ratings)
    -
    (0 ratings)
    Performance
    8.0
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    5.1
    (3 ratings)
    -
    (0 ratings)
    In-Person Training
    9.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.0
    (2 ratings)
    -
    (0 ratings)
    Configurability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    9.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    7.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Bugzilladbt
    Likelihood to Recommend
    Open Source
    Buzilla is easy to use and provides basic functionality to use as a bug tracking tool. If big size attachments are allowed it would have been great. Also with Bugzilla home->Test management area is improved by allowing multiple sections it would be awesome!
    Incentivized
    Read full review
    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
    Pros
    Open Source
    • Open source! No license fee involved, no limit to the number of licenses.
    • Easy to install and maintain. Installation is very easy and hardly needs any maintenance efforts, except when migrating from one version to other. Each project can have its own group of users.
    • Includes all the core features/fields that are needed to log a software bug/issue.
    • Multiple attachments are possible, supports various formats.
    • Good for reporting. Filtering mechanism lets you query bugs by various parameters.
    Incentivized
    Read full review
    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
    Cons
    Open Source
    • Cloud Based. I'd like to see bugzilla be cloud based. The company I currently work with made a final decision to change db's for this specific reason. Due to the frequency of travel in this company, they need access to bugzilla from differing national / international locations.
    • Larger File Attachments. I believe the limit of a bugzilla content upload is 4 megabytes. For many of our video'd issues, this file size is simply impractical without the additional effort exertion on video compressor applications.
    Incentivized
    Read full review
    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
    Likelihood to Renew
    Open Source
    For future projects I will look at something that is hosted in the cloud that I don't have to manage. I would also like something that has a more modern feel to allow my customers to use it as well as my employees.
    Incentivized
    Read full review
    dbt Labs
    No answers on this topic
    Usability
    Open Source
    This is a pretty straightforward system. You put in the bug details, a ticket is created, the team is notified. The user interface reflects this very simple and straightforward flow. It's certainly much easier than trying to track bugs with using Excel and email.
    Read full review
    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
    Reliability and Availability
    Open Source
    I used it.
    Incentivized
    Read full review
    dbt Labs
    No answers on this topic
    Performance
    Open Source
    I like this rating.
    Incentivized
    Read full review
    dbt Labs
    No answers on this topic
    Support Rating
    Open Source
    Since it is open source, it doesn't have customer service. However, the amount of information on forums is vast. If you can wade through it, you'll get what you need
    Incentivized
    Read full review
    dbt Labs
    No answers on this topic
    In-Person Training
    Open Source
    I know it.
    Incentivized
    Read full review
    dbt Labs
    No answers on this topic
    Implementation Rating
    Open Source
    Implementation was pretty simple. Particularly because the product cannot be customized so there is not much to do apart from getting it up and running.
    Read full review
    dbt Labs
    No answers on this topic
    Alternatives Considered
    Open Source
    We migrated away from the whole suite of Rational tools because of their massive complexity around administration and inflexibility regarding workflows. In addition, the suite was insanely expensive, and users hated the usability of the tools. We evaluated, and liked JIRA, but because the organization was looking for cost savings, we ended up going with Bugzilla and it's FOSS model so as to avoid ongoing costs.
    Incentivized
    Read full review
    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
    Scalability
    Open Source
    I used it
    Incentivized
    Read full review
    dbt Labs
    No answers on this topic
    Return on Investment
    Open Source
    • It has made the SDLC process more efficient. Bugs were logged and tracked in emails or in Excel sheets leading to slow communication and at time version issues with multiple files. Being an online tool, Bugzilla solved those issues, improved communication, instant status updates and improved efficiency.
    • We have used Bugzilla with a lot of federal goverment agencies (DHS, CMS, SAMHSA, CDC, HHS etc). Project Directors adn Principle Investigators were at times given access to Bugzilla which provided a snapshot of open vs closed issues.
    • Some groups would resist using Bugzilla with the email reminders being the main reason. Turning off or reminding them of features where we can 'control' email notification helped a lot.
    Incentivized
    Read full review
    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
    ScreenShots