the Cloud Data Warehouse
for Sub-Second Analytics

Deliver production-grade data applications, BI dashboards and interactive analytics with confidence. Fast, efficient, simple.

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#Price-performance efficiency

#Low latency

#High concurrency

#SQL simplicity

#Elasticity & workload isolation

Deliver sub-second and highly concurrent analytics experiences over big and granular data, fueled by Firebolt’s storage and compute-optimized technology.

Learn more

Firebolt’s decoupled storage & compute architecture allows you to match analytics and ELT workloads with the right compute resources. Adding or scaling resources up/down is always just a command or click away.

Learn more

Orchestrate Firebolt 100% programmatically using our REST API, JDBC and SDKs. Focus on your data applications, and let us worry about things like performance optimization, storage management and cluster management.

Read case studies

Traffic and Engagement - Ship robust dataapplications, fast

Learn how to deliver sub-second analytics over TB-scale datasets in our next Live Product Showdown

RSVP

Engineers love Firebolt

Whether we have 100, 200, or 250 users accessing a BI tool, we need consistent sub-second query performance. Firebolt is a key partner for us.

Jeremy Stroud
‍Director IT Architecture
IQVIA

Firebolt immediately gave us faster performance at a much greater scale, which let our customers analyze huge datasets with sub-second performance. It also gave us the flexibility to deliver complex data features at a much faster pace.

Yoav Shmaria
VP R&D, Platform.
SimilarWeb

Firebolt is a massive improvement to our BI efforts. Using the same test dataset of 100 million records, other databases took minutes, Firebolt analyzed in seconds.

We use cookies to give you a better online experience

the Cloud Data Warehouse
for Sub-Second Analytics

Deliver production-grade data applications, BI dashboards and interactive analytics with confidence. Fast, efficient, simple.

Faster than anything you’ve seen, at data-lake scale

Deliver sub-second and highly concurrent analytics experiences over big and granular data, fueled by Firebolt’s storage and compute-optimized technology.

An architecture built for easy & flexible elasticity

Firebolt’s decoupled storage & compute architecture allows you to match analytics and ELT workloads with the right compute resources. Adding or scaling resources up/down is always just a command or click away.

Ship robust data
applications, fast

Orchestrate Firebolt 100% programmatically using our REST API, JDBC and SDKs. Focus on your data applications, and let us worry about things like performance optimization, storage management and cluster management.

Learn how to deliver sub-second analytics over TB-scale datasets in our next Live Product Showdown

Engineers love Firebolt

Whether we have 100, 200, or 250 users accessing a BI tool, we need consistent sub-second query performance. Firebolt is a key partner for us.

Jeremy Stroud
‍Director IT Architecture
IQVIA

Firebolt immediately gave us faster performance at a much greater scale, which let our customers analyze huge datasets with sub-second performance. It also gave us the flexibility to deliver complex data features at a much faster pace.

Yoav Shmaria
VP R&D, Platform.
SimilarWeb

Firebolt is a massive improvement to our BI efforts. Using the same test dataset of 100 million records, other databases took minutes, Firebolt analyzed in seconds.

Yaron Cohen-Leo
‍BI Team Lead
Bigabid

See how Firebolt works

Take a peek under the hood

Read more in detail about Firebolt’s architecture to learn how we built a modern data platform that delivers sub-second analytics over hundreds of TBs.

As seen on

Talk to a Firebolt Expert

Tune in to the 'Data Engineering Show' to see how the fastest growing tech companies handle their data challenges
Real talk, no fluff.

We use cookies to give you a better online experience

the Cloud Data Warehousefor Sub-Second Analytics

Deliver production-grade data applications, BI dashboards and interactive analytics with confidence. Fast, efficient, simple.

Faster than anything you’ve seen, at data-lake scale

Deliver sub-second and highly concurrent analytics experiences over big and granular data, fueled by Firebolt’s storage and compute-optimized technology.

An architecture built for easy & flexible elasticity

Firebolt’s decoupled storage & compute architecture allows you to match analytics and ELT workloads with the right compute resources. Adding or scaling resources up/down is always just a command or click away.

Ship robust dataapplications, fast

Orchestrate Firebolt 100% programmatically using our REST API, JDBC and SDKs. Focus on your data applications, and let us worry about things like performance optimization, storage management and cluster management.

Learn how to deliver sub-second analytics over TB-scale datasets in our next Live Product Showdown

Engineers love Firebolt

Whether we have 100, 200, or 250 users accessing a BI tool, we need consistent sub-second query performance. Firebolt is a key partner for us.

Jeremy Stroud‍Director IT ArchitectureIQVIA

Firebolt immediately gave us faster performance at a much greater scale, which let our customers analyze huge datasets with sub-second performance. It also gave us the flexibility to deliver complex data features at a much faster pace.

Yoav ShmariaVP R&D, Platform.SimilarWeb

Firebolt is a massive improvement to our BI efforts. Using the same test dataset of 100 million records, other databases took minutes, Firebolt analyzed in seconds.

Yaron Cohen-Leo‍BI Team LeadBigabid

See how Firebolt works

Take a peek under the hood

Read more in detail about Firebolt’s architecture to learn how we built a modern data platform that delivers sub-second analytics over hundreds of TBs.

As seen on

Talk to a Firebolt Expert

Tune in to the 'Data Engineering Show' to see how the fastest growing tech companies handle their data challengesReal talk, no fluff.

the Cloud Data Warehouse
for Sub-Second Analytics

Ship robust data
applications, fast

Jeremy Stroud
‍Director IT Architecture
IQVIA

Yoav Shmaria
VP R&D, Platform.
SimilarWeb

Yaron Cohen-Leo
‍BI Team Lead
Bigabid

Tune in to the 'Data Engineering Show' to see how the fastest growing tech companies handle their data challenges
Real talk, no fluff.