Adeptia Connect vs. dbt

I recommend the program for an advanced stage, it is not a program for small companies, it is a program for medium or large companies where you know about data and its flow in which you need to make the leap to a 3.0 level of the same.I could immediately recommend it to colleagues for its great storage capacity and agile control.

Incentivized

If you can load your data first into your warehouse, dbt is excellent. It does the T(ransformation) part of ELT brilliantly but does not do the E(xtract) or L(oad) part. If you know SQL or your development team knows SQL, it's a framework and extension around that. So, it's easy to learn and easy to hire people with that technical skill (as opposed to specific Informatica, SnapLogic, etc. experience). dbt uses plain text files and integrates with GitHub. You can easily see the changes made between versions. In GUI-based UIs it was always hard to tell what someone had changed. Each "model" is essentially a "SELECT" statement. You never need to do a "CREATE TABLE" or "CREATE VIEW" - it's all done for you, leaving you to work on the business logic. Instead of saying "FROM specific_db.schema.table" you indicate "FROM ref('my_other_model')". It creates an internal dependency diagram you can view in a DAG. When you deploy, the dependencies work like magic in your various environments. They also have great documentation, an active slack community, training, and support. I like the enhancements they have been making and I believe they are headed in a good direction.

Incentivized

• End users can set up pipelines within Gap to connect without having to use professional services.
• Users can simply select a particular template.
• Let's say that data integration calculates and configures a data flow very easily.

Incentivized

• user experience makes it easy to work with SQL and version control
• customer success team and the dbt (data build tool) community help establish best practices
• thorough and clear documentation

• Support only in english and not always reactive.

Incentivized

• 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

Incentivized

We mainly choose Adeptia Connect for the friendly UI. From the first minutes, it was really easy to use and understand how it works and then manages complex connections.

Incentivized

Most ETL pipeline products have a T layer, but dbt just does it better. The transformation is on steroids compared to the others. Also, just allows much more Adhoc solutions for very specific projects. Those ETL tools are probably better on the T part if you don't need too many transforms - also dbt is pretty much free dependent on how you work it, also extremely scalable.

Incentivized

• The user can set up the whole template and then enter the data or we simply have to connect that data by making use of connections from an account through an API.
• We can do reference lookups in the database to further enhance it before sending it to the data link and as part of this process flow
• We can attach by taking up a little bit of time or batch and this can be a multi-directional process. So I needed this data transformation

Incentivized

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

Incentivized