Aggregating Indexes are Firebolt's unique and improved approach to materialized views.
Primary indexes are the single most important optimization a Firebolt user needs to be aware of.
Once you've set up your database and engine, the next question is how you can load data into Firebolt.
We're excited announce the launch of Firebolt Core, a free, self-managed version of Firebolt that you can run anywhere, from a massive distributed cluster to a laptop.
Databases are the bread and butter of storing your data in Firebolt. They are the home of all of your data, including all your tables and external tables.
What is Firebolt? A next-gen cloud data warehouse and data analytics platform. In this first episode of our Firebolt Workshop series, Dev Advocate Cole Bowden explains what makes Firebolt different and what makes it shine.
Engines are the compute layer in Firebolt. They do all your work - reading, writing, transforming, and accessing data, no matter where that data lives.
TVFs are great for data exploration without needing to ingest data, as well as targeted ingestion of specific data that you have in existing files.
Firebolt introduced a new compute family: compute-optimized. By providing proportionally more CPU than memory and disk space, it can power up CPU-intensive workloads or engines operating on small datasets.
In Firebolt, what happens when we have a new release, but your engine is running? It's a seamless upgrade that makes sure Firebolt users are always getting the best experience.