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dbt is currently the software I love most
What do you like best about the product?
dbt improves every facet of SQL transforms for analytics. My favorite features in order:
--Isolate each piece of business logic to a single model, ensuring that everything downstream inherits that definition.
--Build canonical fact tables, then combine those into report-ready aggregate marts. Once the fact tables are built, the time-to-data-mart is so fast.
--Automated testing for code and data quality
--Import code packages, either open source or private
--Managed interactive documentation
--Isolate each piece of business logic to a single model, ensuring that everything downstream inherits that definition.
--Build canonical fact tables, then combine those into report-ready aggregate marts. Once the fact tables are built, the time-to-data-mart is so fast.
--Automated testing for code and data quality
--Import code packages, either open source or private
--Managed interactive documentation
What do you dislike about the product?
The cloud IDE is still very much a work in progress. Already better than using a local IDE, but there are still enough quirks and bugs to be frustrating. Setting up a new project seems overly onerous--the same score of steps have to be done the same way, which seems like it could be just a copy/paste from a different project. Most implementations probably only have one project going, though, so that's a pain only us agency types feel.
What problems is the product solving and how is that benefiting you?
SQL transforms with daily code runs.
Deploying packaged code across multiple projects.
Monitoring code and data quality through daily automated testing.
Prepare raw data for business user consumption.
Deploying packaged code across multiple projects.
Monitoring code and data quality through daily automated testing.
Prepare raw data for business user consumption.
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dbt helps us manage and collaborate data transformation very efficiently
What do you like best about the product?
Easy to maneuver dbt cloud IDE to complete our models, version control for collaboration, jinja templating for python power, dbt tests to ensure accurate result, yml file, a centralized space to provide clear descriptions, and many more... oh of course, dbt docs
What do you dislike about the product?
Haven't found one yet; maybe some built-in sqlfluff? I know it's already in progress.
What problems is the product solving and how is that benefiting you?
Keeps track of changes between engineers and documents easily the "why" behind the changes.
Love the fit of dbt with dev ops, regression testing, pipelines and the like›
What do you like best about the product?
Coupling of code with tests provides assurance changes have been implemented correctly
What do you dislike about the product?
Speed in dbt cloud is not speed of thought response
What problems is the product solving and how is that benefiting you?
Financial reporting, dbt particularly good at checking and validating
Amazing Product We Have Used for Years
What do you like best about the product?
DBT allows us to transform our data in a way that is easy to learn (with a sql background), easily adjustable, and incredibly powerful. Every dataset that is used by a business user at our company goes through DBT one way or another, some as simple as cleaning up some fields and names, and other through complex algorithms.
What do you dislike about the product?
The code first style can be a little daunting to teach to newer people who have never seen a tool like this before or do not know SQL. I think the investment in teaching SQL/DBT is well worth the value provided.
What problems is the product solving and how is that benefiting you?
We have dozens of datasets that come in in many different formats and levels of cleanliness. DBT allows us to take any dataset and convert it in a clean, scalable way into datasets that are easy to use for analystics and process automation
The Only Analytics Engineering Toolkit You Need!
What do you like best about the product?
dbt makes it very simple to plan, construct, and continuously transform our company data on regular intervals in order to power our decisions on product design, user experience, and much more. Moreover, its Slack community will not let you fail and is incredibly helpful.
What do you dislike about the product?
The fact that dbt is constantly expanding what you can transform and helping you to code those transformations makes it a hard software to not be married to. Marriage to a software is often the death of an operating budget over time, but the value is incredible with dbt.
What problems is the product solving and how is that benefiting you?
dbt provides a cloud-based job-running environment that I can set and forget, an integrated development environment to code my SQL and Python transformations in, and a way to easily deploy automated testing of my code to ensure data quality and reliability. Moreover, dbt makes it easy to write your code with native format assistance (SQLFMT), active syntax recommendations, shortcuts, and a suite of learning videos and docs.
My experience with dbt has been transformational, and has democratized data engineering at the org
What do you like best about the product?
- The fact that is it sql-based
- Cloud UI is ver intuitive
- Easy to learn
- Cloud UI is ver intuitive
- Easy to learn
What do you dislike about the product?
- Cloud IDE is kind of slow
- Rebuilding data models is sometimes slow
- No resources on how to optimize jobs
- Rebuilding data models is sometimes slow
- No resources on how to optimize jobs
What problems is the product solving and how is that benefiting you?
- Democratizing data eng across organizations
- Establishing a universal source of truth downstream for all orgs
- Ability to stand up data infrastructure quickly
- Establishing a universal source of truth downstream for all orgs
- Ability to stand up data infrastructure quickly
dbt is an essential component of our tech stack
What do you like best about the product?
easy to use
those w/ SQL skillsets are locked & loaded to leverage dbt
those w/ SQL skillsets are locked & loaded to leverage dbt
What do you dislike about the product?
nothing that I can think of!
the product is great!
the product is great!
What problems is the product solving and how is that benefiting you?
it helps us process & summarize customer data, working well w/ our dwh
If you're doing analytics, you need dbt
What do you like best about the product?
dbt was easy to integrate into our stack, and immediately began adding value. dbt has levelled up our data practice and helps to ensure that we're shipping reliable, consistent and accurate tables to our stakeholders. It allow for repeatability so that stakeholders don't need to know sql to use a useful table.
What do you dislike about the product?
If you have multiple projects in your warehouse (BigQuery) in our case, you have to set up dbt for each. It would be ideal if, within BQ, we could consolidate projects somehow - although given security permissions, potentially not possible or practical.
What problems is the product solving and how is that benefiting you?
Previously were modelling tables in our warehouse or BI layer leading to a lot of confusion and breaks in data. Using dbt, we can easily (i) enforce PRs for any new tables, (ii) enforce tests, (iii) leverage macros and (iv) define documentation.
Easy to use, powerful tool
What do you like best about the product?
In my company, we embraced dbt cloud only a few months ago, looking for a tool to help us migrate from unserviceable legacy python scripts living on Airflow, which could be replaced with more straightforward SQL model solutions. It has fundamentally changed how the data team works, incorporating software engineering best practices like version control and documentation. It is a solution that not only a data engineer could use or understand.
What do you dislike about the product?
The Cloud IDE needs some work, and the integration with python should be faster and easier.
What problems is the product solving and how is that benefiting you?
Separation of test/development environments in the data warehouse, replacement of old and unserviceable processes, management of data transformations and load in one place.
Game changing solution that brings software engineering best practices to data work
What do you like best about the product?
dbt brings a ton of best practices from software engineering: code versioning, automated testing, documentation, and support for deploying to multiple environments to the process of transforming data (ETL/ELT). Prior to using dbt I'd either have SQL code stuck in an IDE somewhere or obfuscated through an orchestration tool like airflow that made it difficult for non-coders to contribute effectively to a data team. Even as a senior data engineer I love the best practices and simplicity that dbt has brought to my team and I'm looking forward to its continued growth!
What do you dislike about the product?
Nothing major, dbt is still a relatively new product with active development so some minor annoying things are constantly being improved. For example, the IDE in dbt cloud wasn't super performant and auto-completion would not always work, but both things were improved drastically through the most recent release. We had a little bit of an initial learning curve for customizing our environment to suit our specific use-case, but I like that we weren't forced to do a bunch of customization out of the box so you could easily start using the product.
What problems is the product solving and how is that benefiting you?
Performing data transformation at scale using only SQL and deploying those to multiple environments while using code versioning. Our ability to create standardized reporting tables for multiple different projects has drastically improved.
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