dbt vs. Integrate.io

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

Integrate.IO or formerly XPlenty can be used for various needs:

• Multiple Sources (Excel, CSV, Text File, Blank File Type, All SQL Type)
• Multiple End Points (All SQL Type)
• Integration to Salesforce Sales Cloud
• Re-using the same package in different platforms which result to less development
• Value for the money

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

• Collecting data from different sources and making these available for BI tools or other IT systems.
• Their support department is really helpful when you are facing issues. Sometimes they refer to their documentation and sometimes they can help you right away.
• Generally I’m really happy with the ease of use. The software just does its job very well and we’re really getting a lot of value from it.

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

• It's not always easy to use.
• Debugging can be challenging when error logs lack specificity.
• Interaction between fields or packages is slow.

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

I found them super cool and helpful in any regarding to implementation.

Incentivized

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

Integrate.io offers more customization options than Datorama, allowing businesses to create their own custom integrations and workflows using their API and SDKs. Integrate.io's pricing model is based on the number of data transactions, which may be more cost-effective for businesses that have a high volume of data.

Incentivized

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

Incentivized

• Faster development with less skill requirements
• Part of long range planning
• Captured the data privacy requirements

Incentivized