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§ Private Profile · Tel Aviv, Israel
Cloud-native analytical database for high-performance data warehousing, delivering sub-second latency for AI workloads and modern analytics.
Firebolt is a Kirkland, United States-based software company that provides a cloud-native analytical database designed for high-performance data warehousing. The platform utilizes a decoupled compute and storage architecture designed for artificial intelligence workloads, enabling sub-second latency, high concurrency, and elastic scaling for modern analytics. Operating with a comprehensive structured query language approach, the system is fully compatible with PostgreSQL and supports fast data ingestion, mixed workloads, and efficient extract, load, and transform processes. The software-as-a-service business targets data engineers, technology startups, and large organizations building real-time applications, interactive dashboards, and production-grade artificial intelligence at scale, having raised $270 million in venture capital funding to support these operations. The organization currently employs approximately 300 people across more than 20 countries, maintaining additional corporate offices in Munich, Germany, and Tel Aviv, Israel. Firebolt was founded in 2019.
Firebolt has raised $267.0M across 3 funding rounds.
Firebolt has raised $267.0M in total across 3 funding rounds.
Firebolt has raised $267.0M in total across 3 funding rounds.
Firebolt's investors include Abhi Arunachalam, Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky, Angular Ventures, Bessemer Venture Partners, Dawn Capital.
Firebolt has raised $267.0M across 3 funding rounds. Most recently, it raised $100.0M Series C in January 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2022 | $100M Series C | Abhi Arunachalam | Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky, Angular Ventures, Bessemer Venture Partners, Dawn Capital, Glynn Capital, K5 Global, Sozo Ventures, TLV Partners, Zeev Ventures | Announced |
| Jun 1, 2021 | $130M Series B | — | Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky, Angular Ventures, Bessemer Venture Partners, Dawn Capital, K5 Global, TLV Partners, Oren Zeev | Announced |
| Dec 1, 2020 | $37M Series A | — | Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky, Angular Ventures, Bessemer Venture Partners, TLV Partners, Oren Zeev | Announced |
Firebolt is a cloud-native data warehouse company that builds a high-performance analytical database optimized for real-time applications, AI workloads, and sub-second analytics at scale.[1][2][3][5] It serves data engineers and organizations in sectors like MarTech, AdTech, SaaS, GameTech, Fintech, and Healthcare by solving the limitations of legacy data warehouses—such as slow query speeds, poor concurrency, and high costs—through its platform supporting mixed workloads, elastic scaling, data security, and integrations with tools like Apache Iceberg, Fivetran, dbt, and Airbyte.[1][3][5] With $270M in funding raised since 2019, including a Series C at $1.4B valuation, Firebolt demonstrates strong growth momentum, employing teams across 20+ countries and focusing on AI-first architecture for low-latency, high-concurrency analytics.[2][3][4]
Firebolt was founded in 2019 in Tel Aviv, Israel, by a team addressing the shortcomings of traditional data warehouses like Oracle, Teradata, Snowflake, and BigQuery, which struggle with modern cloud-native demands for speed and scalability.[1][2][3][4] The idea emerged from recognizing that legacy systems weren't built for data-intensive AI applications, high-concurrency workloads, or interactive analytics, leading to the development of a ground-up cloud architecture combining columnar storage, indexing, vectorized execution, and decoupled storage/compute.[3] Early traction came via rapid funding: a $37M Series A in December 2020, $127M Series B in June 2021 led by Dawn Capital and K5 Global, and $100M Series C in January 2022, fueling global expansion with offices in Kirkland (HQ), Munich, and Tel Aviv.[2][3][4]
Firebolt rides the explosion of AI-driven analytics and real-time data applications, where traditional warehouses fail on latency and scale amid surging data volumes from AI models and operational BI.[2][3][5] Its timing aligns with cloud-native shifts and the rise of data lakes (e.g., Iceberg), enabling hybrid architectures for structured/semi-structured data in a market projected to favor performant alternatives to Snowflake/BigQuery.[3] Favorable forces include demand for customer-facing data apps, high-concurrency BI, and AI vector search, positioning Firebolt to influence ecosystems by empowering developers with ANSI SQL compatibility, low-cost scaling, and tools that accelerate innovation in AdTech, Fintech, and beyond.[1][5]
Firebolt is poised to capture share in the evolving cloud data warehouse market by doubling down on AI-native features like vector search and low-latency apps, with recent leadership hires like President Hemanth Vedagarbha signaling aggressive GTM scaling.[4] Trends like agentic AI, multimodal data processing, and edge analytics will amplify its strengths in concurrency and elasticity, potentially driving further funding or an IPO as enterprises prioritize cost-efficient, high-performance alternatives. As data infrastructure becomes the backbone of AI, Firebolt's engineer-first approach could redefine analytics speed, turning "impossible queries" into everyday realities and solidifying its role among cloud data leaders.[2][5]