dbt Platform
dbt LabsExternal reviews
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SQL Knowledge enough to become a Data Engineer
What do you like best about the product?
Useage of sql.
Incremental strategies - which makes append , merge and full refresh easy.
Snapshots - which makes building scd type 2 model error free.
High Availability - we are using Dbt cloud, i rarely see failure in pipelines.
Tests - which helps to validate the data.
Configuration is ease.
Incremental strategies - which makes append , merge and full refresh easy.
Snapshots - which makes building scd type 2 model error free.
High Availability - we are using Dbt cloud, i rarely see failure in pipelines.
Tests - which helps to validate the data.
Configuration is ease.
What do you dislike about the product?
During development sometimes - changes are cached.So changes will not reflect ,which require removal of target folder or deps or clean to resolve it.
What problems is the product solving and how is that benefiting you?
Building aggregated tables for Gold layer.
Lineage helps in identifying the tables involved incase of new changes.
Lineage helps in identifying the tables involved incase of new changes.
DBT excellent data collaborative modeling software
What do you like best about the product?
I like to simplify the transformation of the data and take advantage of SQL and Python in DBT in addition their skills are ideal for our needs. Finally I liked it to be relatively economical to compare other similar tools.
What do you dislike about the product?
The negative for me is that sometimes the analytical development process can slow down a bit.
What problems is the product solving and how is that benefiting you?
It is very beneficial and if it solves the problems in the projects and the analysis of large amounts of data and the transformation of the SQL based data and ends up being useful for our equipment and really works well and I hope it is maintained like this.
Elevating Our Data Stack
What do you like best about the product?
dbt's ability to streamline data workflows is excellent
What do you dislike about the product?
While dbt is great, for extremely large datasets or highly complex transformations, native SQL compilation might still require deep optimization knowledge or workarounds to achieve peak performance
What problems is the product solving and how is that benefiting you?
Streamlining our data workflows and ELT process
DBT at my point of view
What do you like best about the product?
Data transformation logic can be expressed in SQL
Data can be transformed in batch
Ease to use, it has lot of good features similar in Django web application
Data can be transformed in batch
Ease to use, it has lot of good features similar in Django web application
What do you dislike about the product?
Joining multiple database types is not possible. Ie., combining two databases like oracle and mysql.
Persistent cluster is required for running the sql statements.
Like Presto/Hive it can’t be connected to BI Directly
Persistent cluster is required for running the sql statements.
Like Presto/Hive it can’t be connected to BI Directly
What problems is the product solving and how is that benefiting you?
Enables engineers to transform data in their data lakehouse using select statements in SQL.
Converts SQL select statements into Tables or Views
Supports DW process such as incremental, SCD etc.,
Graphical representation of pipelines
Converts SQL select statements into Tables or Views
Supports DW process such as incremental, SCD etc.,
Graphical representation of pipelines
We majorly use DBT cloud for ETL in the organization
What do you like best about the product?
It's simple, SQL based approach and easy to version control.
What do you dislike about the product?
Challenging to manage large scale and complex dependencies
What problems is the product solving and how is that benefiting you?
Since it's SQL based, its easy to manage ETL pipeline.
DBT(Data Build Tool) to build Excellent data models for Quickly and collaboratively
What do you like best about the product?
The most and best things i like in dbt are it not only helps in creating transformations but can also helps in managing and performing transformations in a view and integrates easily with Big-query
i can use and configure the transformation as per the object like table,view or incrementalalong with features like auto-generated lineage graphs and can perform native testing with few lines of codes in a YAML file and can able to re use them.
i can use and configure the transformation as per the object like table,view or incrementalalong with features like auto-generated lineage graphs and can perform native testing with few lines of codes in a YAML file and can able to re use them.
What do you dislike about the product?
There is not much about to dislike in dbt the reusable code can be little bit confusing and jumping from one branch to another can be frustrating
What problems is the product solving and how is that benefiting you?
DBT helped me and my team in testing data pipelines in local in house development
and Performing CI/CD pipeline tests along with data migration to targets like Bigquery.
and Performing CI/CD pipeline tests along with data migration to targets like Bigquery.
A game changer for dashboarding
What do you like best about the product?
You would feel really strange at first but after you start the integration will notice how easy to use it is. Great Documentation and community.
What do you dislike about the product?
The initial deployment is not ideal, and it would be beneficial to have a interface for dbt Core to support analysts who do not use Git on a daily basis but still take advantage of its benefits.
What problems is the product solving and how is that benefiting you?
Create an UI for some tools like dbt core that would help non tech people give a try to the product
It was good
What do you like best about the product?
To build reliable data models quickly and collaboratively
What do you dislike about the product?
It should be more accesible with more features
What problems is the product solving and how is that benefiting you?
Problems related with Data visualizations and optimizations
Best data modeling tool
What do you like best about the product?
beautifull data lineage
easy to use and implement
dbt learning courses provided by dbt are super usefull
data sharing and orchestration is super easy
development in cloud ide is very good
custoer support is extreme fast and efficient
integration with snowflake and GitHub is easy
Using daily this tool for building data models
easy to use and implement
dbt learning courses provided by dbt are super usefull
data sharing and orchestration is super easy
development in cloud ide is very good
custoer support is extreme fast and efficient
integration with snowflake and GitHub is easy
Using daily this tool for building data models
What do you dislike about the product?
Beta features are very slow releasing. Rest all GREAT
What problems is the product solving and how is that benefiting you?
building the business models from tables and views in traditional approach is use stored procedure, routines etc. but the new way of building analytics reports and datas marts are using CTE[ common table expression] which dbt solves.
dbt also solves and give beautifull lineages, from where your source data is traversrsing to final mart layer.
table level lineage is provided by dbt and is super usefull
reporting on a single layer is solved by dbt, meaning developer need not to login to data warehouse and dot the development.
dbt separates out the data warehouse from modelling layer
dbt also solves and give beautifull lineages, from where your source data is traversrsing to final mart layer.
table level lineage is provided by dbt and is super usefull
reporting on a single layer is solved by dbt, meaning developer need not to login to data warehouse and dot the development.
dbt separates out the data warehouse from modelling layer
Overwhelming when it comes to optimize and centralize your big data.
What do you like best about the product?
1. The documentation it generates when all the models are designed. It clearly defines which intermediate and final layers are connected to each other.
2. The incremental model runs greatly helped me in optimizing large data models as I was dealing with billions of rows of data.
2. The incremental model runs greatly helped me in optimizing large data models as I was dealing with billions of rows of data.
What do you dislike about the product?
I did not come across any difficulty in learning DBT as it was pretty basic and I also applied SQL fluff to streamline my coding. As a user, I did not find much difficulty in operating through dbt.
What problems is the product solving and how is that benefiting you?
Previously, I was using GBQ for creating thousands of lines of stored procedures and so many tables were interconnected inside of it. It was pretty difficult to determine which tables are made up of what.
When I started using DBT, I was able to quickly determine and find the staging and intermediate layers for the purpose of creating a final layer and the documentation it creates was awesome.
I am talking about dbt docs generate and dbt docs serve.
When I started using DBT, I was able to quickly determine and find the staging and intermediate layers for the purpose of creating a final layer and the documentation it creates was awesome.
I am talking about dbt docs generate and dbt docs serve.
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