Fundraising Fox

Firebolt

Unicorn · $1.4B

Founded 2019 · 144 employees on LinkedIn · 9 known investors

Firebolt is a Postgres-compliant analytical database designed for engineers and AI agents, running from a single laptop binary to multi-node cloud clusters. The product targets teams building data-intensive applications requiring sub-second query latency and is built for next-generation data product development.

Also known as Firebolt Analytics · Firebolt Core

Founders & leadership

Firebolt was founded in 2019 by Eldad Farkash and Saar Bitner.

EFEldad Farkash
Eldad FarkashinCo-FounderVenture Partner / Advisor at Angular Ventures
SBSaar Bitner
Saar BitnerinCo-Founder
BWBenjamin Wagner
Benjamin WagnerinCEOVenture Partner / Advisor at Angular Ventures

Investors · 9

Also in the syndicate · 1

Glynn Capital

Valuation · disclosed

Disclosed events
$1.4Bvaluation at Series CJan 2022
filing ↗

Source: SEC prospectus filings, and round valuations the company or its investors disclosed — follow each entry's link for the claim.

Company profile

researched Aug 2026

Firebolt develops an analytical database aimed at engineering teams building data-intensive and real-time analytics products. The engine uses a PostgreSQL SQL dialect and is distributed as a single binary that runs on a laptop with SQLite for metadata, or as a cluster of up to 256 nodes using Postgres for metadata, with object storage as the underlying substrate. It handles data volumes from gigabytes to petabytes, supports both real-time and batch analytics, and offers ACID transactions with snapshot isolation. Storage uses a custom format for real-time workloads and Parquet plus Apache Iceberg for batch; connectivity is available via ADBC, a JSON REST interface and the Postgres wire protocol.

An open-source version of the engine was in preview at the time of the sources, with general availability announced as forthcoming, alongside a previously released self-hosted edition called Firebolt Core. Deployment options include a raw binary, Docker, Helm charts and a Kubernetes operator, on x86 or ARM, on bare metal, VMs, any cloud or on-premises data centers. Cloud support is generally available on AWS and GCP, with Azure in preview. Recent engine releases have added Iceberg catalog attachment, a native JSON type with user-defined schemas and Iceberg schema evolution, HNSW vector search indexes over float arrays, cross-database joins, and Tableau Cloud connectivity.

Earlier company materials described the product as a cloud data warehouse delivering sub-second analytic experiences at scale for engineering teams, allowing analysis of larger data volumes than previously possible.

Founding story

Firebolt was founded by Eldad Farkash and Saar Bitner, who previously worked together at business intelligence company Sisense, of which Farkash was a co-founder. Farkash served as CEO and Bitner as COO at founding. The company emerged from stealth in early 2021.

Business model

Open core: the engine is open source and can be self-hosted without limits on the user's own hardware, while Firebolt monetizes a managed cloud service and a bring-your-own-cloud option with support, audit logs and metrics.

Consumption-based pricing for the managed service: compute is billed per second by engine size (from $1.84/hour for a single-node, 8-vCPU S engine to $58.88/hour for a four-node, 256-vCPU 4XL engine in US East), with object storage passed through at $0.0264 per GB per month. New users receive $200 in free credits.

Traction

By January 2022 the company reported strong adoption among fast-growing technology companies after roughly a year of operation, with the team nearly doubling in six months to 200 people across 25 countries. The managed service holds SOC 2, ISO 27018, ISO 27001 and HIPAA compliance and operates in six cloud regions.

Latest developments

The open-source version of Firebolt is in preview with a general availability countdown running on the company site. Recent releases added Iceberg catalog attachment via CREATE ICEBERG DATABASE (4.32), a native JSON data type, user-defined schemas, Iceberg schema evolution and HNSW vector indexes (4.31), vector search indexes for low-latency similarity search (4.30), cross-database joins and queries (4.29), and Tableau Cloud connectivity plus role-based transfer of object ownership (4.28). Azure support is in preview alongside generally available AWS and GCP.

Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

Positioned as a high-performance analytical database competing on price/performance and deployment flexibility against cloud data warehouses and analytical engines; the company reached a $1.4 billion valuation with its 2022 Series C and states $270M raised in total.

Combines an open-source engine and open storage formats (Postgres-compatible SQL, Apache Iceberg, DuckLake) with a single binary that behaves identically on a laptop and in a large cluster, minimal dependencies, sub-second query latency targets, and support for both real-time and batch analytics.

Technology

Columnar analytical query engine with a planner-runtime-storage pipeline built around object storage. Features include PostgreSQL-dialect SQL, ACID multi-statement transactions using MVCC and OCC, snapshot isolation, zero-copy cloning, data pruning and late materialization, automated column statistics, redundant-join elimination, geospatial support via the S2 Geometry Library and a GEOGRAPHY type, HNSW vector search indexes, automatic cache warmup, zero-downtime live engine upgrades using shadow clusters, sub-second reads of Apache Iceberg tables via READ_ICEBERG, and an MCP server for connecting LLM tools such as Claude and Copilot.

Go-to-market

Self-service developer-led adoption via a one-line install script and free open-source download, free managed-service credits, and documentation and 'ask an engineer' support channels, supported by a technical blog and podcast program; a Chief Growth Officer and CMO are part of the leadership team.

Software and data engineers, and teams building data-intensive applications, real-time analytics and ELT pipelines, including AI agent workloads; the company states its customers include top global tech companies.

Geography

Offices in San Francisco, Munich, Tel Aviv and Bangalore; a Seattle office was announced in January 2022. The managed service runs in US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Asia Pacific (Singapore) and Asia Pacific (Mumbai).

History

Company materials give a founding year of 2019, while press coverage of the Series C states the company was founded in 2018. Firebolt emerged from stealth around January 2021, having raised a $37 million Series A in December 2020, followed by a $127 million Series B in June 2021 and a $100 million Series C in January 2022 at a $1.4 billion valuation, which also coincided with the hiring of CTO Mosha Pasumansky, formerly a principal engineer on Google's BigQuery team, and the opening of a Seattle office. The product later expanded to a self-hosted free edition (Firebolt Core) and an open-source engine in preview ahead of general availability. Benjamin Wagner is listed as CEO, with Farkash and Bitner listed as co-founders.

Risks & controversies

Public sources give conflicting founding years (2019 on the company site versus 2018 in press coverage) and differing total funding figures ($270M stated by the company versus $269M reported at the Series C). Leadership has changed since founding, with Benjamin Wagner listed as CEO rather than co-founder Eldad Farkash.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Countries with employeesJan 202225
EmployeesJan 2022200 people
Managed service cloud regionsJan 20266 regions
Max cluster sizeJan 2026256 nodes
Object storage priceJan 2026$0.0264
Post money valuationJan 2022$1.4B
Total funding raisedJan 2026$270M

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Competitors · 10

by search overlap
Truera419 shared keywordsSnowflake is a fully managed cloud data platform that integrates data ingestion, processing, analysis, and AI application development across multiple cloud providers. It serves enterprise customers with unified security, governance, and infrastructure for building data and AI workloads.
Netezza387 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.
DataCamp381 shared keywordsDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
Databricks347 shared keywordsDatabricks provides a unified platform for data engineering, analytics, and artificial intelligence, enabling organizations to build and deploy data and AI applications on cloud infrastructure.
Hevodata177 shared keywordsHevo is a no-code data pipeline platform that combines extraction, loading, and dbt-based modeling with operational visibility across data sources. It lets teams sync databases and SaaS applications into data warehouses in near real-time, with automated schema handling, monitoring, and API/CI-CD-based pipeline management.
dbt Labs174 shared keywordsdbt Labs provides a data transformation platform used by teams to organize, catalog, and manage data in their warehouses. The company serves data practitioners and organizations across industries seeking to build reliable data pipelines from development to production.
Airbyte154 shared keywordsAirbyte provides a context layer for agents and pipelines, enabling data connectivity and integration solutions. The platform serves organizations that need to connect and manage data across their systems.
Integrate152 shared keywordsIntegrate.io provides a data integration platform with tools for building ETL/ELT pipelines, letting teams prepare and load data such as Salesforce data without relying on IT. It serves data and business teams looking to automate data integration workflows.
Dremio152 shared keywordsDremio provides an Agentic Lakehouse platform that enables fast, governed access to enterprise data across multiple sources without ETL, with an AI Semantic Layer for business context and autonomous infrastructure management. The platform serves knowledge workers and AI agents seeking instant access to trusted data without traditional data platform complexity.
Estuary147 shared keywordsEstuary provides a real-time data platform that helps companies harness and stream their data. The platform serves engineering, product, and customer-facing teams building data-driven applications.

Companies competing with Firebolt for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 9

launches, deals, and filings
Jan 2026
Firebolt open-source engine in preview ahead of GA

Firebolt's open-source analytical database is available in preview, with a general availability launch countdown published on the company site; the engine installs via a single script and runs as a single binary.

source ↗

Jan 2026
Release 4.32 adds Iceberg catalog attachment

Version 4.32 adds support for attaching Iceberg catalogs with CREATE ICEBERG DATABASE; 4.31 added a native JSON data type, user-defined schemas, Iceberg schema evolution and HNSW vector indexes; 4.30 added HNSW vector search indexes; 4.29 added cross-database joins; 4.28 added Tableau Cloud connectivity.

source ↗

Jan 2025
Firebolt MCP Server for LLM integration

Firebolt released an MCP Server allowing connection of Firebolt to AI tools such as Claude and Copilot for conversational data interaction.

source ↗

Jan 2025
Introducing Firebolt Core, self-hosted Firebolt for free

Firebolt launched Firebolt Core, a self-managed version of the product offered free, discussed by the company's CTO and VP of Engineering.

source ↗

Jan 2022
Firebolt opens Seattle office

Alongside its Series C, Firebolt announced the opening of a Seattle office; the team had nearly doubled in six months to 200 people across 25 countries.

source ↗

Jan 2022
Firebolt raises $100M Series C at $1.4B valuation

Firebolt announced a $100 million Series C led by Alkeon Capital, with Sozo Ventures, Glynn Capital and existing investors Zeev Ventures, Angular Ventures, Dawn Capital, Bessemer Venture Partners, K5 Global and TLV Partners, reaching a $1.4 billion valuation and $269 million total raised.

$100M source ↗

Jan 2022
Mosha Pasumansky hired as CTO

Firebolt announced the hiring of Mosha Pasumansky, previously a principal engineer on Google's BigQuery team, as CTO.

source ↗

Jun 2021
$127M Series B

$127M source ↗

Dec 2020
$37M Series A

$37M source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

In the news

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Firebolt do?
Firebolt is an open-source, Postgres-compliant analytical database that runs as a single binary or scales to hundreds of cloud nodes.
Who founded Firebolt?
Firebolt was founded by Eldad Farkash, Saar Bitner in 2019.
Who are Firebolt's investors?
Firebolt's investors include Alkeon Innovation, Angular Ventures, Bessemer Venture Partners, Dawn Capital, Glynn Capital Management, Sozo Ventures, TLV Partners, Zeev Ventures.