There are so many things but for starters, it's just how fast we are able to serve up query results to applications and end users regardless of the data set size. Hugely complicated queries run like lightning fast, so much so that we've pivoted from using Firebolt just for reporting and analytics to also including it in our internal tooling for our business. Things we simply couldn't pull off otherwise without a massive scaling of our infrastructure.
The cost is simply unmatched for the levels of feature and performance. We're a small company with big ambitions but cost is still a paramount consideration. We have flexibility in controlling our costs and scaling as we see fit, which is great.
I've found that my team has generally found the syntax to be pretty easy to pick up, it shares a lot of commonality with other SQL flavors we're familiar with. And even when it stumps us, the documentation is pretty robust (unlike many software vendors we use) and their support staff has been top-notch. They even share a channel in our Slack where we get quick answers to many of our questions. Firebolt goes so far as to proactively watch our query performance patterns and shares that with me and will help us fix them.
Simply put, I work WITH Firebolt to solve our problems and limitations instead of working AROUND them like we have to with some other vendors.
AM
Ashmit M.
IICC Finalist (AIR 260) || Problem Setter @iMochaWorks || Full Stack Android Developer || Teaching Assistant @Coding Blocks
It has great speed and performance. It allows me to handle large datasets and complex queries in a fraction of the time. It also offers a flexible pricing model, which allows me to pay only for the compute resources I actually use. This is very cost-effective for me as I have variable workloads and don't want to pay for unused capacity.
AM
Arushi M.
Problem Setter intern at iMochaWorks || 3*@ Codechef ||5⭐(problem solving,Java, C++) @Hackerrank|| Siemens scholar||Student at Madan Mohan Malviya University of technology
It is a cloud data warehouse that offers high performance, scalability, and cost-efficiency, which are some of the most important features that I typically look for in a data warehousing solution.
Its unique architecture is built around the use of low-cost storage options, which help me save money on storage costs compared to traditional data warehousing solutions.
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