We have been using it to build one of our frameworks. We primarily use Dremio to create a data framework and a data queue. It's being used in combination with DBT and Databricks.
Dremio AWS - BYOL
DremioExternal reviews
External reviews are not included in the AWS star rating for the product.
Evaluating platform for data management and delivery
Offers smooth installation and cloud/on-prem flexibility, but faces integration challenges with Databricks
What is our primary use case?
What is most valuable?
We're still in the exploration phase with Dremio, so it's a bit early to determine its most valuable feature. We're currently deploying it across different departments for various use cases and learning from these internal applications.
What needs improvement?
We've faced a challenge with integrating Dremio and Databricks, specifically regarding authentication. It is not shaking hands very easily. We had to set up two different VMs and execute them in a different manner and integrate them.
For how long have I used the solution?
I've been using Dremio for about two to three months now. However, one of our teams has been using it for the past year.
What do I think about the stability of the solution?
From my three months of experience, I haven't noticed any stability issues with Dremio.
What do I think about the scalability of the solution?
In my department, which focuses on data and AI, we have about 538 people. I'm not sure how many are actively using Dremio.
How was the initial setup?
The installation process was quite smooth and didn't present any issues.
We currently have Dremio on the cloud. For proof of concept (POC) purposes, we are using it on-premises.
Which other solutions did I evaluate?
What other advice do I have?
We are currently evaluating Dremio against other similar products. But at first glance, I would recommend using Dremio.
Considering my limited access and experience over these three months, I would rate Dremio around a seven out of ten.