dbt vs. Salesforce Data Cloud

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

I would recommend Salesforce Data Cloud as an 8 because it is great for keeping track of customer and sale information, it is easy to use, it is easy to generate reports and it is user friendly. However, it is very expensive and does not integrate with other CRMs well

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

• Integration with other systems is really working for us. Also having models developed in Data Cloud and then use for servers, Salesforce sales and for Marketing Cloud.

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

• Sometimes it can be very fidgety and you need a team of salesforce developers in order to implement the solution
• Can be expensive, but so are other providers

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

Because it is worth this, the analytics, reporting, CRM, security parameters, mobile support all make it this worth. Also, I personally believe it has high potential to grab customers attention and increase sales.

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

I like Salesforce Data Cloud because like mentioned before, it is easy to use, easy to generate reports, create workflows, keep track of customer data, sales data, house data, etc. You can also import excel sheets with customer data as well and it will create the fields for you which is nice

Incentivized

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

Incentivized

• It's been really good because for example, now we can use some of the segmentation of our clients. We have all the models running in that cloud, so it's been easier for us having this information built and having the calculation of the segments that we want to use with clients.

Incentivized