Title

AWS re:Invent 2022 - 100x faster data app experiences delivered cost-effectively (PRT005)

Summary

Firebolt is a fully managed, cloud-based data warehouse known for its high speed.
The product addresses the challenge of slow query performance in data applications without compromising on data scale, application performance, or cost.
Firebolt enables developers to build sub-second data applications effortlessly and affordably.
A live demonstration showcased Simulweb, a customer using Firebolt to deliver sub-second analytics on massive datasets.
Firebolt's architecture is designed for efficiency, developer focus, and maximization of AWS ecosystem benefits.
It offers a granular selection of engine types and scales, powerful indexing capabilities, and support for semi-structured data.
Firebolt's pricing model is flat, based on engine active time, not on query count or data scanned, ensuring predictable costs.
The live demo included examples of various query types executed on large datasets, all returning results in sub-seconds, demonstrating Firebolt's performance and efficiency.

Firebolt's emphasis on speed and cost-effectiveness addresses a significant pain point for companies that require fast data analytics without incurring high costs.
The separation of storage and compute, with storage on S3 and the use of proprietary file types and indexes, is a key factor in Firebolt's performance.
The ability to index every column, regardless of granularity, and the support for semi-structured data, are notable features that enhance query performance.
Firebolt's developer-centric approach, with the ability to manage data warehouses programmatically and through SQL, aligns with the trend of empowering developers with more control and flexibility.
The demonstration of Firebolt's capabilities, particularly the consistent sub-second query performance, serves as a strong testament to its efficiency and potential impact on data-driven applications.
The flat pricing model based on engine active time, rather than query volume or data scanned, offers a predictable cost structure that can be appealing to businesses looking to manage their cloud expenses effectively.