dbt Platform
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DBT - From data science to product strategy
What do you like best about the product?
I liked that it completely the way my team and I interact with information. With DBT, I know our customers, usage metrics are accurate and consistent, and its fantastic because it prioritizes functionality to validate our product hypotheses. I loved DBT because it relies on reliable data to make decisions.
What do you dislike about the product?
For team members unfamiliar with engineering workflows, doing so could be challenging.
What problems is the product solving and how is that benefiting you?
Its very useful and benefits us a lot because it takes data-driven product development seriously, and for me its great because it provides reliable analytics capabilities, and honestly, dbt is a worthwhile strategic investment.
We finally brought order to complex metric definitions
What do you like best about the product?
It is very nice that dbt gives us the capability to write out our transformation logic as application code. The process of integrating it with Git implies that our whole team may contribute to data models and track changes without hassles, and revert changes as well. Even the separation of the development and production environment out of the box is a tremendous advantage, so we can ensure that we are testing new things without necessarily influencing live reports. Lastly, the automated documentation generation process has made the data models so simple to comprehend, even to the business users, without ever having the touch a SQL.
What do you dislike about the product?
The initial set up of dbt can be a little fiddly at times and with a mix of operating systems and local database connections. It also lacks its own scheduler, so still we will require an external orchestration tool to carry out our data pipelines. The more advanced Jinja templating and macros proved to be more cumbersome to our team to learn than the simpler SQL.
What problems is the product solving and how is that benefiting you?
Our greatest weakness prior to dbt was inconsistent reporting amongst departments, this contributed to lack of numbers and big debates on the correct numbers between departments. Marketing could report a figure of new customer acquisition and sales could report an entirely different figure and that could slow down decision making. I we have one version controlled definition of all of our critical business metrics since dbt is in place. Such change came to mean that our leadership team trusts the figures implicitly and no longer spends so much time on reconciliation of numbers, but can actually analyze them.
Provides excellent insight into the various sources and streams of data
What do you like best about the product?
I like that it has error-detection capabilities and offers a wide range of connections. It makes it easy to sync analytics data and has a simple user interface that makes data management easy. I was able to easily navigate through the pages using the side panel.
What do you dislike about the product?
I'm satisfied with the platform, I haven't encountered any issues yet. The team has been excellent with us, they've developed an impressive management tool.
What problems is the product solving and how is that benefiting you?
It has allowed us to bring the most relevant data, offering a simple way to securely transfer data. We can obtain important product information, which has helped me save time and effort. I have had an excellent experience with this platform.
Facilitates the implementation of analytical code quickly and easily
What do you like best about the product?
The platform stands out for its exceptional consistency and timeliness. It's intuitive and well-designed, making it easy for our team to get up and running quickly, without the usual complexity or overhead. One of the most notable benefits for us has been its cost-effectiveness.
What do you dislike about the product?
We've had a fantastic experience working with this platform and are delighted with the results. As our data needs have grown, the platform has adapted seamlessly.
What problems is the product solving and how is that benefiting you?
This platform has facilitated the implementation of a new data strategy. Our data team now operates more efficiently, without the complexity of coordinating multiple systems or extraction methods.
Pro and cons of DBT at Professional area
What do you like best about the product?
I worked on DBT for 2 years as a data engineer , It is helpful in writing dynamic SQL queries by creating models and we can write pyspark code. Using both features we can do complex data transformations. Proper lineage is an added advantage
What do you dislike about the product?
DBT alone is not better , it should be integrated with other warehouses such as Snowflake, where there are other options in market which has both .
What problems is the product solving and how is that benefiting you?
It helped me in writing complex data transformation queries and cost is also low compared to other platforms available
DBT is an incredibly powerful, versatile, and inexpensive ETL tool
What do you like best about the product?
It is inexpensive to use the DBT cloud service. DBT itself is free for a self-hosted environment. Very easy to set up local dev/test. Quite intuitive to use. Flexibility of macros, functions, Jinja, etc. Easily integratable with Snowflake, Clickhouse, Postgres, etc. I've never had to reach out to DBT's customer support even once in the 5+ years I've been using it.
What do you dislike about the product?
I wish that more Jinja syntax was supported (like Ansible). I also wish that more functionality was default in the product (e.g. auto-generated YAML schemas). I was really excited about the semantic layer functionality that DBT released but it seems like the final product was a disappointment and it doesn't have some of the functionality that other layers have like symmetric aggregates.
What problems is the product solving and how is that benefiting you?
Building ETL/ELT pipelines, or building a reusable ETL/ETL tool, on my own would take a long time. Conversely, buying a solution would also tend to be quite expensive and most providers don't open source their code so I wouldn't be able to self-host if it made economic sense. DBT is both easy to set up and inexpensive, so it really beats all the other options
DBT review
What do you like best about the product?
Using SQL queries, it is easy platform to transform the data.
What do you dislike about the product?
For legacy system its is not useful for tranformation
What problems is the product solving and how is that benefiting you?
Data transformation
DBT review
What do you like best about the product?
DBT is user friendly and helps keep our data reliable, updated and secure
What do you dislike about the product?
Upgrading from core is really expensive without there being any significant differences besides number of users
What problems is the product solving and how is that benefiting you?
DBT helps us build our models and keep them refreshed in our warehouse
ELT made easy with just SQL
What do you like best about the product?
All I need is to write some SQL select statements and specify materialisation type. My table will be created with the type of load I want to perform.
Support tickets are resolved quickly from support team.
Support tickets are resolved quickly from support team.
What do you dislike about the product?
Sometimes the error is not described aptly. This makes parsing error and debugging difficult.
What problems is the product solving and how is that benefiting you?
DBT eliminates the need for writing complex code and tedious orchestration jobs.
I can create any model with just SQL and orchestration made easy with creating job. Tags feature with lineage made my job easy by running sequence of models.
Lineage is helpful in visualising data flow. Lint feature helps with code formatting
I can create any model with just SQL and orchestration made easy with creating job. Tags feature with lineage made my job easy by running sequence of models.
Lineage is helpful in visualising data flow. Lint feature helps with code formatting
Great tool to easily transform documents and take advantage of their functions
What do you like best about the product?
What I liked most was being able to transform models, which is easy with DBT because its been extremely good and useful, with understandable documentation, and it speed up development time. The documentation is interactive , managed, and essential. It works well now. I like most of its features.
What do you dislike about the product?
The only issue I had a while back was that we received an error with no error code, which was difficult to troubleshoot because it wanst very informative.
What problems is the product solving and how is that benefiting you?
DBT does a great job solving problems in creating collaborative data models, bit data analytics, and data quality, which is beneficial for us, too, because of their ETL tools. Once you understand them, everything works together, making the job easier.
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