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.Read
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.Read
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.Read
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.Read
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. Read
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.Read
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.Read
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. Read
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.Read
This whitepaper compares the major cloud data warehouse and query engine options on AWS across more than 30 different categories including their overall architectures and core features, scalability, performance, and cost, as well as their suitability across these different analytics use cases.Read
When selecting a cloud data warehouse, technical and cost constraints make users compromise on certain features. The following checklist of criteria was written to help you determine which factors are most important for the success of your organization.Read
The price of speed: how much does a fast and seamless data warehouse experience cost? In the following article we’ll review the most common pricing models, their pros and cons and which use-cases they are most relevant for.Read
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