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Firebolt Analytics

Firebolt is an open source analytical database designed for AI agents, real-time analytics, and efficient ELT.

Venture Funded$128MSeries CInsight PartnersTLV PartnersHetz Ventures

cloud data platformfast analyticsscalable data pipelinesdata warehousing

About

The vendor describes Firebolt as a high-performance, open source analytical database that is available in preview. It can run as a single binary on a laptop or scale to hundreds of nodes and petabytes of data in the cloud. Firebolt supports both real-time and batch analytics. The vendor states it offers full deployment flexibility and superior price/performance. Firebolt's philosophy emphasizes minimal complexity, universal deployment across various environments like bare metal, VMs, Kubernetes, and any cloud or data center, and few moving parts, using SQLite for metadata on a laptop and Postgres for clusters. It is built around object storage for robustness and fault tolerance. When needed, it is cloud-native, leveraging Kubernetes and object storage for a full analytical database with workload isolation, dynamic scaling, and self-hosting capabilities. Firebolt can be deployed on a laptop, via Helm Chart, or as a Kubernetes Operator. The vendor also offers a managed service and a bring-your-own-cloud (BYOC) option. The managed service is available in regions including US East (N. Virginia), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Asia Pacific (Singapore), and Asia Pacific (Mumbai). Compute engines can scale up (S–XL), out (1–256 nodes), or for concurrency (up to 10 parallel clusters), allowing for workload isolation.

Read from firebolt.io on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data

58/100 · Established

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityPartial

Cloud-based: Cloud

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2019 · Series C

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 1d ago

GitHub API2026-05-27

firebolt-db

Open source product· 246★· NOASSERTION· active 3mo ago

Python · Go · Shell · Java

cooling · +13★ (+5.6%) 30d

Status page2026-04-07

Operational

operational· via statuspage· 1 incident (90d)

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

Real-time data ingestion and transformation

High-speed analytics for large datasets

Cloud data warehousing for enterprise BI

Optimized ETL and ELT pipelines

Cost-efficient big data processing

Scalable data platform for SaaS applications

Integrations

SnowflakeLookerTableauPower BIdbtFivetranAirbyteApache Spark

How Firebolt Analytics compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Firebolt Analytics	58 · Established	Enterprise	Cloud	—	8
Airbyte	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Astronomer Astro	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Elastic AI	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Firebolt Analytics used for?

Firebolt Analytics is firebolt is an open source analytical database designed for AI agents, real-time analytics, and efficient ELT. It is commonly used for real-time data ingestion and transformation, high-speed analytics for large datasets, cloud data warehousing for enterprise bi, and optimized etl and elt pipelines.

Is Firebolt Analytics free, and how is it priced?

Firebolt Analytics uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Firebolt Analytics be deployed?

Firebolt Analytics supports Cloud deployment. It is delivered as a cloud-hosted service.

What does Firebolt Analytics integrate with?

Firebolt Analytics documents 8 integrations, including Snowflake, Looker, Tableau, Power BI, dbt, and Fivetran.

When was Firebolt Analytics founded?

Firebolt Analytics was founded in 2019 and has raised $128M in funding.

Is Firebolt Analytics enterprise-ready?

Based on cataloged data, Firebolt Analytics has an Enterprise Readiness score of 58/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud

Founded2019

Funding$128M

CategoryData & MLOps

Procurement

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