Firebolt
The Analytical Database for Engineers, built for AI, sub-second analytics, and efficient ELT.
Data in Production
1 PB
Daily Data Ingestion
5 TB
Queries per Second
100
Faster Query Performance
Up to 400x
About Firebolt
Firebolt is an advanced analytical database platform engineered for speed and efficiency at scale. Its architecture decouples metadata, storage, and compute, allowing for independent scaling of workloads like batch ELT, low-latency analytics, and AI applications. Key features include a vectorized query engine, support for Apache Iceberg tables, Postgres-compliant SQL, and ACID transactions. Firebolt is designed to provide developers with both high performance out-of-the-box and granular control over data layout, caching, and query plans for predictable production environments.
Core Architecture
Model
Decoupled metadata, storage, and compute for independent scaling.
Elasticity
Independently scale compute resources up/down and in/out. Scale to zero is supported.
Transactions
ACID compliant with strong consistency and snapshot isolation.
Performance Features
Query Engine
Vectorized runtime with a mature query planner and optimizer.
Indexing
Fine-grained control over data layout and indexing for performance tuning.
Workload Support
Optimized for scalable batch ELT, low-latency high-concurrency analytics, and AI workloads.
Compatibility & Integrations
Sql Dialect
Postgres-compliant SQL with extensions for array processing, schema inference, and vector search.
Data Format Support
Native support to read and write Apache Iceberg tables.
Ai Integrations
Connect with tools like LangChain for AI applications.