Firebolt is a high-performance cloud data warehouse designed for real-time analytics and AI-powered applications. It combines the capabilities of a traditional data warehouse with the speed of a query accelerator, enabling sub-second SQL queries over terabyte-scale datasets. Firebolt supports OLAP and OLTP workloads, offering dynamic scalability, workload isolation, and advanced query optimization. It empowers data engineers, developers, and DevOps teams to build robust, low-latency data products using SQL and modern APIs.

Features

• Engineered Price-Performance: Designed for ultimate performance and efficiency with built-in optimization.
• Indexes & Reuse: Specialized indexes and subresult reuse support complex, high-load AI and analytics applications.
• Efficient Run-Time: Millisecond response times via distributed processing, multi-threading, vectorized execution, and tiered caching.
• State-of-the-Art Optimizer: Dynamically refines SQL execution using data distribution, indexing, and historical query patterns.
• Fast Ingestion: Supports parallel ingestion of large datasets in formats like Parquet, JSON, CSV, AVRO, ORC, and Iceberg.
• Low-Latency Updates & Deletes: Maintains indexes and aggregations efficiently for optimized analytics.
• ACID Compliance: Ensures relational database integrity with SQL simplicity.
• Multi-Stage Query Execution: Reduces network transfers and optimizes resource consumption.
• Adaptive Workload Management: Balances performance across analytics and AI-enabled applications.
• Workload Isolation: Dedicated compute resources per workload without data duplication.
• Distributed Writes & Global Consistency: Enables transactional writes from any compute resource with zero downtime.
• Multidimensional Elasticity: Fine-grained scaling of compute resources for optimized performance and cost.
• Collaborative Workspace: Tools for development, configuration, and governance across the data lifecycle.
• Everything in SQL: Full support for SQL-based modeling, security, and infrastructure.
• Standards-Based APIs/SDKs: Supports Python, Java, Go, Node.js, .NET, and CI/CD integrations.
• Security & Governance: Multi-layered security with RBAC, SSO, network policies, and spend management.

Benefits

• Sub-Second Query Execution: Delivers lightning-fast analytics for customer-facing and AI applications.
• High Concurrency Support: Handles large-scale workloads with dynamic scaling and workload isolation.
• Cost Efficiency: Pay only for the compute and storage you use, with fine-grained scaling.
• Simplified Data Management: Eliminates hardware maintenance and supports seamless integration.
• Enhanced Accessibility: Access data from anywhere with cloud-native architecture.
• Improved Operational Efficiency: Automates ingestion, updates, and governance for faster development cycles.
• Secure & Compliant: Meets industry standards like GDPR, HIPAA, and SOC 2.
• Developer-Friendly: Built for modern data teams with full SQL support and API integrations.