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Brief

Firebolt

Data Infrastructure

Delivers sub-second query performance on massive datasets at significantly lower costs than traditional cloud data warehouses through purpose-built indexing and caching technology.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2019
HQ
Tel Aviv, Israel
Connections
4

At a glance

Employees
51-200
Funding
$164M
4integrations

About

High-performance cloud data warehouse provider serving data-intensive industries including AdTech

Firebolt is a cloud-native data warehouse platform designed to deliver sub-second query performance on massive datasets. Founded by a team of database veterans, the company built its architecture from the ground up to address the performance and cost challenges of traditional cloud data warehouses. Firebolt's technology uses a decoupled storage and compute architecture with advanced indexing and caching mechanisms to achieve exceptional speed at a fraction of the cost of legacy solutions. While not exclusively an AdTech company, Firebolt has significant presence in the advertising technology sector, where its high-performance analytics capabilities are particularly valuable for processing large volumes of ad impression data, user behavior analytics, and real-time bidding data. The platform serves data-intensive industries including AdTech, gaming, fintech, and e-commerce, where fast query performance on large datasets is critical for business operations and decision-making. Firebolt competes in the modern cloud data warehouse market against established players like Snowflake, Google BigQuery, and Amazon Redshift, positioning itself as the performance-optimized alternative that can handle extreme-scale analytics workloads more efficiently and cost-effectively.

Business model

SaaS

Target market

Enterprise

What they offer

  • Firebolt Data Warehouse

    Cloud-native SQL data warehouse optimized for extreme performance on large-scale analytics workloads

  • Sparse Index

    Proprietary indexing technology that enables fast query performance without loading entire datasets into memory

  • Decoupled Storage and Compute

    Architecture that allows independent scaling of storage and compute resources for cost optimization

Key features

Sub-second query performanceAdvanced indexing and cachingDecoupled storage and compute architectureSQL compatibilityAutomatic optimizationReal-time data ingestionColumnar storage formatVectorized query execution

Use cases

Real-time ad analytics and reportingUser behavior analysis at scaleCampaign performance optimizationFraud detection and preventionCustomer data platform analyticsGaming telemetry analysisE-commerce analyticsLog analytics

Customer segments

AdTech platformsGaming companiesE-commerce platformsFintech companiesSaaS companies with large data volumesData-driven enterprises

Tech & specs

Technology stack

AWSProprietary database engineColumnar storageVectorized executionSQLCloud-native architecture

Security & compliance

SOC 2 Type IIGDPRCCPAISO 27001

Deployment

Cloud

API

Yes

Corporate history
  1. 2019 · Founded
Connection details

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