Firebolt

Firebolt is a technology company.

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Updated: Feb 17, 2026 ·

Recent News & Mentions

Jan 1, 2022FundingFirebolt - Series C Jun 1, 2021FundingFirebolt - Series B Dec 1, 2020FundingFirebolt - Series A

Financial History

Firebolt has raised $267.0M across 3 funding rounds. Most recently, it raised $100.0M Series C in January 2022.

Total Raised

$267.0M

Valuation

N/A

Funding Rounds Raised

Date	Round	Other Investors
Jan 1, 2022	$100.0M Series C	Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky
Jun 1, 2021	$130.0M Series B	Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky
Dec 1, 2020	$37.0M Series A	Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky

Financial History

Firebolt has raised $267.0M across 3 funding rounds.

Total Raised

$267.0M

Valuation

N/A

Deep Dive

High-Level Overview

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]

Origin Story

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]

Core Differentiators

Ultra-low latency and high concurrency: Delivers sub-second query performance on complex joins, heavy batch ELT, and AI-generated queries via vectorized query engine, indexing, storage optimization, and cross-query reuse—without manual tuning.[1][2][3][5]
Elastic scalability and flexibility: Supports multi-dimensional elasticity, auto-scaling, resource-aware admission control, and decoupled metadata/storage/compute for production-grade workloads, running fully managed in the cloud or self-hosted with Postgres-compatible SQL and Iceberg support.[2][3][5]
AI and developer-centric design: Optimized for AI apps with vector search, Semantic Fusion integration, and tools like LangChain; offers control over data layout, caching, query plans, and rich observability for engineers.[1][2][5]
Cost-efficiency and ecosystem integration: Provides strong price/performance for high-concurrency scenarios, outperforming legacy systems while integrating seamlessly with modern pipelines (e.g., Amazon S3, dbt, Airbyte).[3][5]

Role in the Broader Tech Landscape

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]

Quick Take & Future Outlook

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]

Sources

Frequently Asked Questions

How much funding has Firebolt raised?

Firebolt has raised $267.0M in total across 3 funding rounds.

Who are Firebolt's investors?

Firebolt's investors include Andreessen Horowitz, Base Partners, Coatue, Greenoaks Capital, Lightspeed Venture Partners, Tucker Seed Fund LLC, Zeev Capital, Oren Dobronsky.