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
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
Curious to learn more?
Discover how Firebolt achieves extreme performance at a fraction of the cost
