[margorczynski]

Considering you're using an nondeterministic way of generating the transformation (LLM) what sort of guarantee do I get that it will work correctly and do what I want?

Is my proprietary data stored on your servers (database schema, rows, etc.)? If so what safety guarantees do I get?

[nmachado]

Regarding guarantee that it will work correctly, there are ways to reduce the ambiguity in the task given. One way is to input very detailed descriptions of your end schema. This limits the amount of assumptions our model has to make. In addition, you can define tests either by writing SQL code on Lume, or by explaining in plain English the tests the final data has to pass (and edit them, of course). Our models make sure the end data passes these tests, guaranteeing your desired outcomes. We also offer versioning and backtesting capabilities, so you can have more confidence in your deployments. You can also review the sample data + the sql used to guarantee Lume drafted the integration you desired.

With regards to where your data is stored, technically we only need your schema information for our models and everything is run on your cloud, which some customers prefer for privacy / safety. That being said, the ability to sample source data or test the end schema, which does require some data read access, will improve your experience with Lume. In these cases, we of course have contractual agreements with our customers.

[dustymcp]

Is this really much faster than just writing these things? My latest integration with 4 endpoints took around 3-4 hours with tests ? I feel most of the work comes from your business model and making the fitting which you would still need to do unless im missing something entirely?

[robert-te-ross]

In most cases, we build these transformations in a matter of seconds. Furthermore, we can detect changes from either source or destination and change the transformation accordingly, reducing maintenance burden as well.