Whitepapers

The Definitive Guide for Cloud Data Warehousing

Cloud data warehouses help businesses store and manage data in the cloud. They represent a significant evolution in data storage, enabling flexibility, scalability, and affordability in managing increasingly large and complex data. In this whitepaper, we will use the terms "cloud data warehouse" and “data warehouse" interchangeably.

Simplifying Data Warehouse Governance

This whitepaper outlines the architecture and capabilities of Firebolt's Organizations framework, highlighting its role in managing accounts, security, and resource allocation in modern enterprises. It demonstrates how the framework enables cost transparency, simplifies governance, and enhances security through features like unified billing, environment separation, and data access controls.

Architecting Layered Security in a Cloud Data Warehouse

This whitepaper details Firebolt's comprehensive approach to cloud data warehouse security, showcasing advanced features like multi-factor authentication, encryption, and compliance with industry standards. It illustrates how these measures collectively reduce attack surfaces, ensure regulatory adherence, and provide a robust security framework tailored to modern enterprise needs.

The Firebolt cloud data warehouse whitepaper

This whitepaper explains the overall architecture, the key differences compared to the previous generations of cloud data warehouses, and provides some numbers to show how much of an improvement in speed, scale, cost, and price-performance is possible.

Scalable infrastructure for next-gen cloud data warehouse

In this whitepaper, learn how Firebolt's advanced, flexible cloud infrastructure addresses the challenges of modern data-driven businesses. Explore capabilities like workload isolation, multidimensional and granular scaling, instant elasticity, and zero-downtime upgrades, all built on a distributed and decoupled architecture to ensure scalability, efficiency, and low latency for large-scale analytical workloads.

The Cloud data warehousing guide

Cloud data warehouses have significantly reduced or eliminated the need to pre-provision infrastructure to address analytical needs. This guide provides a roadmap to navigating cloud data warehouse concepts, architectures, and available deployment options.

The complete guide to sub-second analytics

Sub-second analytics leverages cutting-edge technologies, optimized data processing techniques, and high-performance infrastructure to enable organizations to respond quickly to changing business conditions, customer demands, and market trends.

Data architects unplugged survival stories from the field

Firebolt architects are constantly at the front line. Their job is to get the biggest data analytics and engineering challenges from customers and come up with innovative solutions. Rob, Chris, Matthew, and Jay got together to talk about the craziest challenges they got, the main trends customers are looking for, and 80s music albums that keep them going.

Data warehouse product comparison: Snowflake vs Firebolt

This whitepaper provides a detailed comparison between Firebolt and Snowflake across more than 30 different categories including their overall architectures and core features, scalability, performance, and cost, as well as their suitability across different analytics use cases.

Native semi-structured analytics

The advent of cheap, infinite cloud storage and massive data collection from the web and IoT has dramatically transformed the nature of raw data subject to analytical query workloads. With endless streams of JSON log files and other nested serialization formats like Avro and Parquet, the ability to handle semi-structured data is a must.