The analytical database for engineers who need answers in milliseconds, not minutes.
Firebolt is a cloud data warehouse - an analytical database that runs SQL queries across terabytes and petabytes of data. Where most warehouses were designed for reports refreshed overnight, Firebolt is engineered to answer complex, Postgres-compatible SQL in sub-second time, for many users at once.
The architecture decouples storage from compute. Data lives in cloud object storage such as Amazon S3, while queries run on separate compute clusters the company calls engines. That separation lets a team scale query capacity independently from data volume - useful when concurrency is spiky and unpredictable, and when the goal is to keep both response time and the cloud bill under control.
The engine reaches millisecond response times through a stack of well-worn database techniques applied together: query optimization, distributed processing, multi-threading, vectorized execution, tiered caching, and resource-aware scheduling and scaling. Firebolt's roots trace back to a heavily optimized fork of the open-source ClickHouse database, from which it has since built its own path.
Firebolt's users are data engineering and product teams who wire analytics directly into their applications - dashboards customers see, features that query data live, and increasingly, AI agents that need the right slice of data on demand.
Similarweb serves 100 queries per second across more than a petabyte of production data while ingesting five terabytes a day. Bigabid runs a million mobile ad auctions per second. These are the workloads that break conventional warehouses - high concurrency, low latency, no room to wait.
The core analytical database. Decoupled storage and compute, Postgres-compatible SQL, sub-second queries and high concurrency over TB-to-PB datasets.
Next-generation compute infrastructure with storage-optimized and compute-optimized families, so teams tune price-performance per workload and scale independently of data volume.
Developer kits for Python, Node, Java, Go and .NET to embed analytics in applications and automate testing and deployment.
An open benchmark simulating real-world low-latency, high-concurrency workloads, used to compare Firebolt against Snowflake, Redshift and BigQuery.
The cloud data warehouse market is crowded - Snowflake, Amazon Redshift, Google BigQuery and ClickHouse all compete for the same data teams. Firebolt's wedge is narrow and deliberate: price-performance for sub-second, high-concurrency analytics.
These are vendor-published figures - worth reading as Firebolt's claim rather than an independent verdict. Notably, the company released the benchmark so others can run it, a posture that fits its engineering-first framing. The bet underneath is that the next generation of software, powered by AI agents, will demand data access measured in milliseconds, and that today's warehouses were not designed for it.
Firebolt emerges from stealth to redesign the cloud data warehouse. Backed by Zeev Ventures, TLV Partners, Bessemer Venture Partners and Angular Ventures.
Existing investors return alongside Dawn Capital and K5 Global as Firebolt positions itself against Snowflake on speed and cost.
Alkeon Capital leads the round that made Firebolt a unicorn, focused on faster, cheaper analytics on large datasets.
Firebolt was founded in 2019 by three leaders from business intelligence company Sisense who had spent a decade close to the problems of analytics at scale - and decided the modern stack was too slow and too expensive.
Former co-founder and CTO of Sisense. Sets Firebolt's technical direction and product vision.
Former GM and CMO at Sisense. Leads operations and go-to-market.
Former Sisense architect. Leads engineering of Firebolt's query engine.
Firebolt is B2B SaaS sold as managed cloud infrastructure. Pricing follows consumption - compute through its engines plus storage - aimed at data engineering teams and companies building customer-facing analytics and AI applications.
Firebolt publishes talks, demos and webinars on its YouTube channel.