Firebolt is a cloud data warehousing platform that utilizes specialized indexing and JOIN acceleration to deliver sub-second query performance on terabytes of data. It enables businesses to analyze large datasets efficiently, reducing query latency from days to seconds while minimizing storage costs.
Funding
$268.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+1Founders
Product
Problem
Traditional data warehouses struggle to deliver the performance and efficiency required for modern data applications, especially when dealing with terabyte-scale analytics. This limitation hinders businesses from effectively processing ever-growing amounts of data and providing a seamless analytics experience. Existing solutions often force a trade-off between speed, functionality, and cost, leading to increased complexity and total cost of ownership.
Solution
Firebolt provides a cloud data warehouse designed to deliver low-latency analytics with high efficiency, enabling data engineers to create customer-facing analytics and data-intensive applications more cost-effectively. Its architecture allows dynamic querying of massive datasets directly from raw data, with high concurrency and workload isolation through decoupled storage and compute. The platform supports sub-second query performance, even at petabyte scale, and integrates with the modern data stack, including Apache Iceberg and various BI tools. By leveraging specialized indexes and JOIN acceleration, Firebolt achieves high performance without the need for a separate query accelerator.
Target Audience
Firebolt is designed for data engineers, data scientists, and developers building customer-facing data applications, AI-powered insights, and performing ELT at scale, particularly in industries like MarTech, AdTech, SaaS, GameTech, Fintech, and Healthcare.
Features
- Decoupled storage and compute architecture for granular and multidimensional scaling
- Specialized indexes and JOIN acceleration for millisecond query performance
- Support for diverse workloads, including data loading, ELT, and low-latency analytics
- SQL-first platform with PostgreSQL-compliance for easy integration with existing workflows
- Support for both structured and semi-structured data analytics
- Integration with Apache Iceberg for unified lakehouse architecture
- Comprehensive data security and compliance features
- REST APIs and SDKs for programmatic control and data application development