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.

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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

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• 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.

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• Ingest data from various sources
• Reporting an Analysis

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• 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)

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• Better UI for naive users
• More comprehensive reports for end users
• Maintenance is high for now

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.

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I would rate Salesforce Data Cloud's usability a 9 because I do think it is very easy to use. You can easily create new contacts, add notes to contacts, add house information, generate reports, create workflows, etc. You can even have it schedule marketing emails to customers to auto send an email for holidays like Christmas, New Years, etc. It is very user friendly and helps to create a nice customer journey with it all in once place.

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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.

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They are quite similar but it was a decision made amongst other stakeholders as well so I can’t justify the reason from my own department but as I understand salesforce allows better integration and since our CRM is already on salesforce it makes sense for us to unify at all.

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

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• Faster analytics gains market
• Reporting can be more comprehensive
• Impressive security
• Maintenance is slower
• Not suitable for startups