1. How well does Sarus work with data that is not in a database, like unstructured data such as documents/text?
2. How does Sarus handle 'legacy' DB's, where the schema for a table might not be quite right, but due to operational constraints these schemas can't be easily corrected? The canonical example I'm thinking of is date times that have been specified as strings and no one bothered to change them.
3. What kind of language support exists for interacting with the Sarus proxy? Obviously, you have Python support but for large enterprises that might need Sarus oftentimes there are a few languages that are popular internally and all need equal support. I think the comprehensive list of analytics languages in use in large orgs would look something like, [python, R, Julia, Matlab, SAS]. Rust/C++ support would be ideal as well as they're commonly used in Python/R to accelerate hot code. Do you have plans to develop SDK's? Would they be hand crafted or do you plan to develop generated SDK's similar to how GCP does it?
4. Are you moving to get any security certs? Of course you're a startup right now, but I know from experience enterprise orgs will still blindly ask questions like, "Are you FedRamp Moderate/High certified?" (This doesn't even make sense for your sales model and I'm certain you'll still have to answer this question and explain why over and over.) or "Do you have a Soc 2 Type 2 report we can look at?". The orgs that actually need something like this are going to be asking these questions pretty quickly.
5. When I use Sarus, do I have to use your IDE/interface? One of the things I noticed when looking at your demo gifs is there is a lot of use of notebooks, which of course are popular, but you'll be met with a lot of resistance if your users can't use the tooling they prefer (PyCharm Pro / DataGrip plugin to interact with DB's in my teams case).
6. How exactly is Sarus deployed? Terraform? Is it a containerized application? Does it scale vertically or horizontally? Can its logging mechanism integrate with StackDriver, Splunk, or Cloudtrail?
7. Have you proved out the technology with more complex time series data? I'm thinking of sensitive trading data.
8. Do you provide benchmarks for showing that a model trained on a real dataset is equivalent in performance a model trained on the synthetic dataset?
Super cool product and you're in a great position to make a ton of money if you nail the execution and get some large customers!