Cloud Elements (discontinued) vs. dbt

Cloud Elements shines when you want to offer multiple options to the user on a type of system, such as supporting integration to CRM and wanting to offer Dynamics, Salesforce, and HubSpot on equal footing. If you only have a single integration with a single system, using Cloud Elements adds an unnecessary layer of abstraction.

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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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• The API itself is very robust and easy to use, being a standard REST interface, standard HTTP response codes, well-packaged error messages, etc.
• Their uptime is great! I think I've seen one (short) 5-minute' blip' the entire time we've been connected for any type of primary function.
• Their support is top notch, they respond quickly, and the team that works with you is communicative and knowledgable.

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Independently Invited by TrustRadius

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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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• The only thing I can think of that they could improve is the quality of the assets they produce in the go-to-market process. This is a huge value add service, but the quality of what was produced was lower than what we would have produced internally. We spent more time going back and forth on the assets than it would have taken us to build them from scratch.

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Independently Invited by TrustRadius

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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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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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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Independently Invited by TrustRadius

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At the time we found Cloud Elements we found no other option that had a Unified API for cloud storage providers.

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Independently Invited by TrustRadius

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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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Independently Invited by TrustRadius

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• Not my area of expertise, but it made my job as an implementer much easier, especially after finishing the first integration.

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Independently Invited by TrustRadius

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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

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info