dbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.
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Salesforce Data Cloud
Score 8.1 out of 10
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Salesforce Data Cloud (formerly Salesforce Genie) is a solution to put data to work for customers. It is deeply embedded in the Einstein 1 Platform, which means any external data lake or warehouse can now drive actions and workflows inside of the Salesforce CRM.
$108,000
per year per org
Pricing
dbt
Salesforce Data Cloud
Editions & Modules
No answers on this topic
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
dbt
Salesforce Data Cloud
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
dbt
Salesforce Data Cloud
Features
dbt
Salesforce Data Cloud
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.5
Ratings
15% above category average
Salesforce Data Cloud
6.0
Ratings
31% below category average
Simple transformations
10.00 Ratings
6.00 Ratings
Complex transformations
9.00 Ratings
6.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
dbt
9.0
Ratings
12% above category average
Salesforce Data Cloud
7.2
Ratings
10% below category average
Data model creation
9.50 Ratings
7.00 Ratings
Metadata management
8.50 Ratings
9.00 Ratings
Business rules and workflow
9.00 Ratings
6.50 Ratings
Collaboration
10.00 Ratings
6.50 Ratings
Testing and debugging
8.00 Ratings
7.00 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
dbt
-
Ratings
Salesforce Data Cloud
5.5
Ratings
42% below category average
Connect to traditional data sources
00 Ratings
6.00 Ratings
Connecto to Big Data and NoSQL
00 Ratings
5.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
dbt (Data Build Tool) is best suited for doing the data transformation. dbt is just a transformation tool and it is not suitable for building a data pipeline which requires extraction of data and loading. dbt is well suited for SQL based transformation logic and it is less appropriate when transformation logic requires python.
Being a mid sized organization, the costing is achievable, but can’t say for those of startups. So I believe not suitable for small scale organizations and very well suited for large data analytics companies to gain market. Also, the maintenance is slightly difficulty and support for the product is comparatively slower than other similar products.
Slow load times of the dbt cloud environment (they're working on it via a new UI though)
More out-of-the-box solutions for managing procedures, functions, etc would be nice to have, but honestly, it's pretty easy to figure out how to adapt dbt macros
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.
it is easy to use after you get the hang of it. If you have an internal team of developers you will be able to maximise the usage a lot better. I would recommend it to people who need to organise data in a more unified way but I can’t speak to it from an infrastructure perspective as I’m not from the infrastructure team
Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt.
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
Salesforce Data Cloud has a positive impact on me as a realtor because it is easy to generate reports on customer data and see what is needed to be bumped to the next level. We have to earn a certain commission by the end of the year and it makes it easy to see how close you are
It has a positive impact on keeping track of customers because it is nice to have it all in one place which is a nice time saver
I like that you can even see customer info from other agents making it nice to compare and try and pass others
Makes the customers journey smooth sailing because everything is in one place