KIRKLAND, WA, September 17, 2024 — Today, Firebolt announced a data warehouse that the company said delivers low latency analytics with 10x more efficiency.
“Built across five years of relentless development, it reflects continuous feedback from users and real-world use cases. Data engineers can now deliver customer-facing analytics and data-intensive applications (data apps) more cost-effectively and with greater simplicity,” the company said.
Firebolt is designed to meet the high demands of modern data workloads. Recognizing the need for a modern solution, Firebolt has reimagined how data should be stored, processed, and utilized, offering unmatched efficiency and low latency analytics. This engineering update marks a significant milestone in Firebolt’s mission to transform data warehousing.
“ The data market is rapidly shifting from supporting internal analytics to enabling external data access and the creation of data-intensive products. This demands a modern cloud data warehouse that combines the ultra-low latency of top query accelerators with the ability to scale and transform massive, diverse datasets from any source, all while using standard SQL to handle any query complexity at scale — without compromise,” said Firebolt CEO & cofounder Eldad Farkash.
“Years in the making, Firebolt comes from one of the best, most proven teams in the industry, listening closely to customers across mission-critical use cases, to deliver velocity, simplicity, and cost savings. This is a milestone in data warehousing, built for now and for the next generation of analytic applications,” he added.
Organizations face the challenge of handling both internal analytics and external data applications, requiring them to manage separate systems that lead to increased complexity and total cost of ownership (TCO). Current solutions cannot deliver both the millisecond query responses and SQL capabilities needed at scale, forcing businesses to trade off between speed and functionality.
Firebolt ends the struggle, redefining data analytics with a cost-effective unified platform that enables millisecond latency and high concurrency at scale to deliver powerful insights faster. Key benefits include:
- High-Efficiency: Engineered for millisecond query performance at lowest cost, delivering real-time insights to data apps without compromises.
- Concurrency at Scale: Supports high query per second (QPS) rates, ideal for applications requiring high performance under heavy load.
- Flexible Infrastructure: Fully decoupled and scalable architecture brings granular and multidimensional scaling to right size compute resources for dynamic workload needs. Running diverse tasks and mixed workloads – such as data loading, ELT, and low-latency analytics – on isolated engines ensures predictable performance across all workloads while preserving transaction integrity and global consistency.
- SQL Simplicity: From provisioning to querying, everything in Firebolt is SQL. PostgreSQL-compliance enables integration with existing workflows and tools while offering support for both structured and semi-structured data analytics to meet diverse needs.
Firebolt’s mission is to revolutionize data warehousing by making it more accessible, efficient, and cost-effective. We envision a future where data management is seamless and analytics can be developed without the operational headaches that plague current systems.
Firebolt is the result of five years of relentless development, driven by continuous feedback from users and real-world use cases. This customer-centric approach ensures that Firebolt is not only innovative but also practical and user-friendly.
Firebolt is built to handle analytics at scale with high efficiency. Its architecture ensures businesses can derive insights quickly and cost-effectively, handling workloads from terabytes to petabytes with ease.
