Blog

Explore technical tips and topics from Firebolt experts and the community.

Blog

June 27, 2025

Making Firebolt Fast By Doing Practically Nothing

Learn about the different methods deployed in Firebolt for reducing the number of scanned rows (aka pruning).

Ori Brostovski

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January 17, 2023

Analyzing the GitHub Events Dataset using Firebolt - Incremental Updates with Apache Airflow

Looking at GithubArchive dataset of public events - leveraging Apache Airflow workflows for keeping our data up-to-date.

Alexander Reelsen

January 17, 2023

Analyzing the GitHub Events Dataset using Firebolt - Writing a Data App using Java

Writing a small data app using the Firebolt JDBC drive.

Alexander Reelsen

January 17, 2023

Analyzing the GitHub Events Dataset using Firebolt - Querying with Streamlit

Writing a data app, using Streamlit and Jupyter and the Firebolt Python SDK. A multi-series blog.

Alexander Reelsen

January 17, 2023

Analyzing the GitHub Events Dataset using Firebolt - Using Jupyter for data exploration

In this blog we will discover the data using Streamlit and Jupyter and the Firebolt Python SDK.

Alexander Reelsen

January 9, 2023

Event streams in Firebolt

Event streams have always been problematic to analyze in SQL. This is how we do it.

Robert Harmon

December 18, 2022

What is a Data App?

Data apps are applications that rely heavily on data and have an easy to use.

Firebolt Academy

December 5, 2022

AWS re:Invent Keynote Recap for Data Professionals

AWS re:invent 2022 was all about building the anticipation and delivering on expectations of us technologists.

Firebolt Team

October 11, 2022

Semi-structured data modeling

How to ingest, store and query JSON data, for example, is a consistent question on the minds of customers.

Firebolt Team

October 3, 2022

PostgreSQL Swiss army knife and The analytics workload

Is Postgres truly the right engine for analytics?

Firebolt Team

September 25, 2022

Firebolt and Data Mesh

Data Mesh is hot stuff. But from a technology perspective it’s still not very well defined.

Matthew Darwin

September 13, 2022

Big Data Analytics for Gaming

In our recent ‘Big Data Analytics for Gaming Workshop’ we let the audience do the talking, here’s a summary of the talk.

Firebolt Team

August 30, 2022

Hey David and Tristan, this is where Firebolt is at

"When I see David Jayatillake and Tristan Handy comment on Firebolt's approach it is clear that Firebolt is on track."

Robert Harmon

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Blog

Making Firebolt Fast By Doing Practically Nothing

Analyzing the GitHub Events Dataset using Firebolt - Incremental Updates with Apache Airflow

Analyzing the GitHub Events Dataset using Firebolt - Writing a Data App using Java

Analyzing the GitHub Events Dataset using Firebolt - Querying with Streamlit

Analyzing the GitHub Events Dataset using Firebolt - Using Jupyter for data exploration

Event streams in Firebolt

What is a Data App?

AWS re:Invent Keynote Recap for Data Professionals

Semi-structured data modeling

PostgreSQL Swiss army knife and The analytics workload

Firebolt and Data Mesh

Big Data Analytics for Gaming

Hey David and Tristan, this is where Firebolt is at

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