The High-Performance Cloud Data Warehouse for AI & Analytics

Firebolt delivers sub-second queries, high concurrency, and optimized compute to support Artificial Intelligence (AI) and analytics applications without complexity.

Unparalleled Price-Performance Ratio

For high-performance, high-concurrency analytics and AI applications

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Indexes & Reuse

Optimize performance of analytics and AI applications with subresult-reuse and specialized indexes. 

Efficient Run-Time

Firebolt’s execution engine delivers millisecond response times for AI applications and analytical workloads. It optimizes query performance with distributed processing, multi-threading, vectorized processing, tiered caching, and resource-aware scheduling. 

State-of-the-Art Optimizer

Firebolt’s query optimizer dynamically refines SQL execution by analyzing data distribution, indexing, and historical query patterns—optimizing performance for complex joins, high-concurrency analytics, and AI-powered applications.

Unparalleled Price-Performance Ratio

For high-performance, high-concurrency analytics and AI applications

Indexes & accelerators

Optimize performance of analytics and AI applications with JOIN accelerators and specialized indexes, including support for vector search.

Efficient run-time

Firebolt’s execution engine optimizes query performance with distributed multi-threading, vectorized processing, tiered caching, and resource-aware scheduling—delivering sub-second response times for analytics and AI-driven applications.

State-of-the-art optimizer

Firebolt’s query optimizer dynamically refines SQL execution by analyzing data distribution, indexing, and historical query patterns—optimizing performance for complex joins, high-concurrency analytics, and AI-powered applications.

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Efficient Data Pipeline

Fast Ingestion

Onboard large datasets with schema inference and parallel ingestion. Supports Parquet, JSON, CSV, AVRO, ORC, and   Iceberg.

Low -latency Updates & Deletes

Updates and deletes efficiently maintain indexes and aggregations, ensuring optimized AI applications and analytics workloads.

ACID Compliance

Enjoy relational database atomicity, consistency, isolation and durability with SQL simplicity.

Multi-stage Query Execution

Scale-out processing with distributed, point-to-point shuffle reduces network transfers while optimizing resource consumption.

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Power Mixed Analytics Workloads

The capabilities of a data warehouse with the speed of a query accelerator - all in one platform

Adaptive Workload Management

Firebolt dynamically optimizes workload execution, managing tasks from admission control to infrastructure scaling—balancing performance across analytics and AI-enabled applications.

Workload 
Isolation

Separate sensitive workloads to run on their own compute resources, without copying data.

Distributed Writes 
& Global Consistency

Decoupled metadata provides consistency with transactional writes from any compute resource.

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Scale with Multidimensional Elasticity

Tune compute resources per workload for optimized performance and cost

Node type
Number of nodes
Select between 1-128 compute nodes.
Number of clusters
Add up to 10 clusters to increase query concurrency.
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Consumption per hour
24
FBU
Firebolt unit is a normalized measurement of consumption.

Instant and Online Elasticity

Firebolt instantly scales compute resources to match workload demands, ensuring optimal performance for both analytics and AI applications.

Support Dynamic Concurrency

Firebolt dynamically scales compute clusters to handle high-concurrency workloads, ensuring seamless execution of analytics queries and AI-powered applications.

Fine-Grained Scaling

Scale compute incrementally to reach the best price performance for analytics and AI applications.

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Develop Data Products Faster

Empower data engineers, developers, and DevOps engineers with tools for the entire data lifecycle—now with support for AI applications, delivering low-latency, high-performance data access.

Everything in SQL

Use SQL to build robust analytics solutions. Data model, security, infrastructure - all built on the SQL object model.

Collaborative Workspace

Increase productivity and code velocity with a simple, easy-to-use environment built for collaboration.

Standards-based APIs / SDKs

Develop Python, Node, Java, Go and .NET-based applications using Firebolt SDKs.

CI/CD ready

Simplify environment management for automated testing and deployment, accelerating development cycles.

Integrations

Integrate with your choice of data transformation, orchestration, observability, and visualization tools.

Develop
Configure
Govern
Python
JAVA
GO
Node
.Net

Secure and Govern your Data Assets

Democratize your data with the right controls

Safeguard your data assets with a multi-layered security approach, ensuring compliance across analytics and AI-powered applications with RBAC, SSO, and network policies.

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Streamline governance using organizations and accounts, ensuring efficient spend management and consumption control. This approach facilitates the oversight of data assets, enhancing both operational efficiency and cost-effectiveness.

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Cloud Data Warehouse FAQs

Cloud Data Warehouse Key Features

  • Scalability: Dynamically scale resources to meet growing data demands.
  • Speed: Execute complex queries in seconds, enabling real-time analytics.
  • Integration: Seamlessly connect with various data sources, including SaaS platforms and on-premises systems.
  • Security: Robust security features, including encryption and compliance with industry standards.
  • ‍Cost-Efficiency: Pay only for the storage and computing power you use.

Benefits of a Cloud Data Warehouse

  • Enhanced Performance: Faster query execution compared to traditional systems.
  • Improved Accessibility: Access your data from anywhere with an internet connection.
  • Simplified Maintenance: Eliminate the need for hardware maintenance and upgrades.
  • Data Integration: Consolidate data from multiple sources for comprehensive insights.
  • ‍Cost Savings: Reduce capital expenses associated with on-premises infrastructure.

What is the difference between a cloud data warehouse and an on-premises data warehouse?

A cloud data warehouse is hosted on cloud servers and offers scalability, flexibility, and reduced maintenance. On-premises data warehouses require significant hardware investment and manual upkeep.

How secure is Firebolt’s cloud data warehouse?

Cloud data warehouses use advanced security measures such as encryption, access controls, and compliance with standards like GDPR, HIPAA, and SOC 2.

Can I integrate a cloud data warehouse with my existing systems?

Yes, most cloud data warehouses offer seamless integration with various data sources, including ERP systems, CRM platforms, and third-party analytics tools.

How much does a cloud data warehouse cost?

Costs vary based on storage capacity and query usage. Contact us for a quote.

What industries benefit from using a cloud data warehouse?

Industries such as finance, healthcare, retail, and technology benefit greatly by using cloud data warehouses for analytics, compliance, and customer insights.

Do I need technical expertise to use a cloud data warehouse?

Not necessarily. Many cloud data warehouse solutions are designed with user-friendly interfaces and automated features to simplify data management.

Can I migrate data from an existing system to a cloud data warehouse?

Yes, most cloud data warehouse providers offer migration tools and support to facilitate the transition.

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