A modern
cloud data
warehouse
‍for builders
of next-gen
analytics
experiences

Finally, a cloud data warehouse that can handle the scale you need with the performance you always wanted

Built for

Modern data engineering
& dev teams

Firebolt fits into your modern data stack, and was designed to help you ship production-grade data apps quickly and reliably.
Orchestrate everything programmatically end-to-end through Firebolt’s APIs and SDKs, and even enjoy a web IDE you’ll actually want to keep using.

Fast.

Faster.

Fastest.

At Firebolt we’re obsessed with speed. We were built from the ground up to deliver order-of-magnitude performance gains compared to current technologies, so you can delight your users with sub-second analytics experiences.

Optimized columnar storage

Sparse indexing for reduced data scans

Vectorized processing and SIMD utilization. For massive throughput at the CPU level

Aggregating & Join indexes for an extra boost

A query optimizer that accelerates even your most complex queries

Dive deeper

Automate your Pipelines with SQL

Data engineers with SQL knowledge can easily adopt Firebolt with its ANSI-SQL compliant PostgreSQL dialect. Even better, spin up, scale your data warehouse using SQL or using an orchestrator like Apache Airflow and run transforms in ‘dbt’.

{
CREATE ENGINE dev_engine
WITH SPEC = 'S24E' SCALE = 8;
‍
START ENGINE dev_engine;
…
STOP ENGINE dev_engine;
DROP ENGINE IF EXISTS dev_engine;
}

dag =
DAG('firebolt_provider_startstop_trip_data',
        default_args=default_args,
        template_searchpath=tmpl_search_path,
        schedule_interval=None,
        catchup=False,
        tags=["firebolt"])

{{ config(
materialized = 'table',
table_type = 'dimension',
primary_index = 'customer_id',
indexes = [
{
'index_type': 'join',
'join_column': 'first_name',
'dimension_column': 'customer_id'
} ])}}

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

RSVP

When you need to

SCALE IN PRACTICE, NOT IN THEORY

The promise of easy scale-up coupled with endless compute in the cloud sounds great. But when delivering fast analytics requires huge clusters even for datasets below 1TB, it becomes unaffordable for most. Firebolt is not just fast, but also introduces new levels of hardware efficiency. This means that you can deliver sub-second TB++ scale analytics using small and affordable compute clusters.

Check out these case studies to dive into some real-life examples:

Appsflyer case study

"With Firebolt, our 1000 Looker users can now run any analytics against billions of rows and terabytes of data, in seconds or less."

Read case study

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Similarweb case study

"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."

Read case study

-->

Omnipanel case study

"Firebolt allowed us to build the product we always envisioned building, fully accompanied with robust features. Firebolt opened up the aperture of our product's desired features and capabilities."

Read case study

-->

Read our detailed whitepaper to learn what makes Firebolt so faaaast!

To the whitepaper

As easy as

Firebolt speaks ANSI-SQL, and sports a SQL IDE that you’ll actually enjoy using. We won’t discourage you from using joins and won’t encourage you to denormalize your data - it’s easy to remain fast with Firebolt.

Don't compromise on query performance

get more done with JSON

JSON feels at home in Firebolt. No need to flatten your semi-structured data in lengthy ETL processes - Just ingest it natively into Firebolt. You can query it directly with SQL and traditional UNNEST, or enjoy even more flexibility and efficiency without unnesting and using our Lambda-like syntax and array manipulation options.

Secure. Period.

Enjoy the benefits of SaaS without compromising on security. Firebolt’s end-to-end security gives you the confidence you need, with the right amount of flexibility so that your organization can quickly and securely enable others through data.

Comes with your favorite

MODERN DATA STACK INTEGRATIONS

We’re adding more and more integrations at a high pace.
Let us know what you want us to add to the list.

BI and Embedded Analytics, Custom Data Apps, Reverse ETL, Observability

Data Integration and ETL - Rivery, Keboola, Estuary, Nexla, Hevo, Dataddo, Adverity

Orchestration - Airflow, Prefect, Astronomer

Curious to learn more?

Get started

A moderncloud datawarehouse‍for buildersof next-genanalyticsexperiences

Finally, a cloud data warehouse that can handle the scale you need with the performance you always wanted

Modern data engineering& dev teams

Firebolt fits into your modern data stack, and was designed to help you ship production-grade data apps quickly and reliably. Orchestrate everything programmatically end-to-end through Firebolt’s APIs and SDKs, and even enjoy a web IDE you’ll actually want to keep using.

At Firebolt we’re obsessed with speed. We were built from the ground up to deliver order-of-magnitude performance gains compared to current technologies, so you can delight your users with sub-second analytics experiences.

Automate your Pipelines with SQL

Data engineers with SQL knowledge can easily adopt Firebolt with its ANSI-SQL compliant PostgreSQL dialect. Even better, spin up, scale your data warehouse using SQL or using an orchestrator like Apache Airflow and run transforms in ‘dbt’.

Data-lake scale

TB is the new GB, and it’s clear that our data volumes are going only in one direction - up. Firebolt’s decoupled storage and compute architecture allows you to easily scale as your data challenges grow, without the traditional complexities. Scaling up/down is a click (or SQL command) away.

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

SCALE IN PRACTICE, NOT IN THEORY

Appsflyer case study

Similarweb case study

Omnipanel case study

Read our detailed whitepaper to learn what makes Firebolt so faaaast!

Firebolt speaks ANSI-SQL, and sports a SQL IDE that you’ll actually enjoy using. We won’t discourage you from using joins and won’t encourage you to denormalize your data - it’s easy to remain fast with Firebolt.

get more done with JSON

Secure. Period.

Enjoy the benefits of SaaS without compromising on security. Firebolt’s end-to-end security gives you the confidence you need, with the right amount of flexibility so that your organization can quickly and securely enable others through data.

MODERN DATA STACK INTEGRATIONS

We’re adding more and more integrations at a high pace.Let us know what you want us to add to the list.

Curious to learn more?

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

A modern
cloud data
warehouse
‍for builders
of next-gen
analytics
experiences

Modern data engineering
& dev teams

Firebolt fits into your modern data stack, and was designed to help you ship production-grade data apps quickly and reliably.
Orchestrate everything programmatically end-to-end through Firebolt’s APIs and SDKs, and even enjoy a web IDE you’ll actually want to keep using.

We’re adding more and more integrations at a high pace.
Let us know what you want us to add to the list.

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