Videos

FireEdge

Technical talks and explainers about how Firebolt works

Introducing Firebolt Core

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.

Reading with table-valued functions

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.

Compute families in Firebolt

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.

Online upgrades in Firebolt

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.

What is vectorized query execution?

Vectorized execution is a common strategy in nearly every modern query engine, and Benjamin Wagner, Director of Engineering at Firebolt, is here to explain how it works.

Geospatial functionality in Firebolt

Explore the differences between geometry and geography, how Firebolt leveraged the S2 library, and how we return geospatial query results as efficiently as possible.

Firebolt Workshop Videos

A hands-on introduction to all of the key Firebolt concepts

Intro to Firebolt

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.

Databases

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.

Engines

Engines are the compute layer in Firebolt. They do all your work - reading, writing, transforming, and accessing data, no matter where that data lives.

Ingesting Data

Once you've set up your database and engine, the next question is how you can load data into Firebolt.

Primary Indexes

Primary indexes are the single most important optimization a Firebolt user needs to be aware of.

Aggregating Indexes

Aggregating Indexes are Firebolt's unique and improved approach to materialized views.

How-to Videos

Learn new skills quickly with our easy, step-by-step video guides

Online Upgrades

Learn how Firebolt's online upgrade process is designed to keep your engines up-to-date without interrupting your operations for your mission-critical workloads.

Elasticity at Scale

Explore the flexibility of Firebolt's compute resources, from selecting the right node size (small, medium, large, extra-large) to scaling engines up or out to meet your query demands.

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Videos

FireEdge

Firebolt Workshop Videos

How-to Videos

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