Adverity vs. dbt

Adverity is particularly useful if there is a large range of data sets that you want to combine to get an 'overall' view. Previously we had used Google Analytics, but found that this was too useful for our big client accounts that we were working on. So I think that if there is an individual who is responsible for analytics or data, and also a paid media team then this is a tool which is essential. For companies that have limited activity then I think this tool could potentially over-complicate for less reward.

Incentivized

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

• User-friendly report setup and ingestion
• Easy integration with multiple data endpoints, making it easy for users to drive value
• Incredible customer support, allowing users (regardless of technical background) to act like power-users

Incentivized

• 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

• Rigid data visualization tools
• Transformations are locked in to Adverity-specific ways of enriching data
• No integrations with standard tool sets like dbt or SQL

Incentivized

• 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

Very good and organized data. Easy to use and good at communicating. Rarely run into problems and they are good at explaining when problems arise due to others api issues. Good notes and guides on how to use and very easy user interface to help there clients use there site

Incentivized

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

Previously I had never really used a tool like this, only using software such as GA to look at any insights and review performance. So I think that the combined view of having all of the data sets (Which in my role I wouldn't always particularly have access to), was really useful. As an individual who was optimising our clients websites it meant that I was really able to prioritise what was important, but also have a great view of absolutely all activity that was happening

Incentivized

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

• Adverity has saved hundreds of man hours per month in reporting and data aggregation. I can think of no solution we've onboarded that has saved so much human capital expense for so little effort in setup and maintenance.

Incentivized

• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

Incentivized