dbt vs. Salesforce Data 360

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
dbt
Score 9.0 out of 10
N/A
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.
$0
per month per seat
Salesforce Data 360
Score 8.5 out of 10
N/A
Salesforce Data 360 (formerly Salesforce Data Cloud, or 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
dbtSalesforce Data 360
Editions & Modules
No answers on this topic
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
dbtSalesforce Data 360
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
dbtSalesforce Data 360
Features
dbtSalesforce Data 360
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.7
8 Ratings
18% above category average
Salesforce Data 360
7.7
10 Ratings
5% below category average
Simple transformations10.08 Ratings8.510 Ratings
Complex transformations9.48 Ratings6.910 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
dbt
9.1
8 Ratings
15% above category average
Salesforce Data 360
7.8
10 Ratings
0% below category average
Data model creation9.78 Ratings8.210 Ratings
Metadata management8.78 Ratings7.99 Ratings
Business rules and workflow9.08 Ratings7.910 Ratings
Collaboration10.06 Ratings7.610 Ratings
Testing and debugging8.08 Ratings7.410 Ratings
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
dbt
-
Ratings
Salesforce Data 360
7.7
9 Ratings
7% below category average
Connect to traditional data sources00 Ratings7.99 Ratings
Connecto to Big Data and NoSQL00 Ratings7.66 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
dbt
-
Ratings
Salesforce Data 360
6.9
10 Ratings
14% below category average
Integration with data quality tools00 Ratings7.410 Ratings
Integration with MDM tools00 Ratings6.48 Ratings
Best Alternatives
dbtSalesforce Data 360
Small Businesses
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Score 10.0 out of 10
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Score 10.0 out of 10
Medium-sized Companies
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Score 8.0 out of 10
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Score 8.0 out of 10
Enterprises
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Score 8.0 out of 10
IBM InfoSphere Information Server
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Score 8.0 out of 10
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User Ratings
dbtSalesforce Data 360
Likelihood to Recommend
10.0
(10 ratings)
8.3
(4 ratings)
Likelihood to Renew
-
(0 ratings)
6.0
(1 ratings)
Usability
9.7
(3 ratings)
8.0
(4 ratings)
User Testimonials
dbtSalesforce Data 360
Likelihood to Recommend
dbt Labs
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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Salesforce
Great tool for client management, sales tracking, cases studies. Using is as the source of truth for all client communication. Allowing more integration options for cc and ACH payments. Right now the options are limited and only integrate with strict processing capabilities that are not always in the businesses best interest.
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Pros
dbt Labs
  • 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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Salesforce
  • Allows use to bring external data into Salesforce as zero-copy
  • Is able to present data using standard Salesforce reports familiar to our users
  • Allows us to establish multiple relationships between our CRM data and the external data to contextualize the imported data.
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Cons
dbt Labs
  • 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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Salesforce
  • pricing or costing visibilty, we can't estimate what would be consumption this month and suddenly we get surprised
  • CI/CD can be improved, that looks a difficult and hard
  • Also sandbox comes with many limitation so very hard to replicate production like environment to test
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Usability
dbt Labs
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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Salesforce
Most of the daily use features, are very usr friendly, intuitive, every end user can learn how to manage and operate basic activities such as enter information, send an email, send a campaign, create an email marketing template, run a report on the renewals for the month, open and close a support case, create new account or a new contact, etc
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Alternatives Considered
dbt Labs
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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Salesforce
we have evaluated Snowflake, adobe rt-cdp as well. They also offer a very strong capabilities but the Data 360 is more suitable for us because of the same Salesforce ecosystem. The main key factor is without any custom code we were able to include it into our automations. And ofcourse with agentforce already in plans, we had to pick Data 360
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Return on Investment
dbt Labs
  • 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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Salesforce
  • 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
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