Firebolt is offering a next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic efficiency gains, reflecting continuous feedback from users and real-world use cases.
According to the company, data engineers can now deliver customer-facing analytics and data-intensive applications (data apps) more cost-effectively and with greater simplicity.
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, the company said.
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 and cofounder Eldad Farkash.
Key benefits include:
- High Efficiency: Engineered for millisecond query performance at the 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 the 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.
For more information about this news, visit www.firebolt.io.