Elasticity.
Driven by your dynamic use-cases 

Firebolt decouples storage and compute, enabling seamless scaling up or down to support any workload, amount of data and concurrent users.

Support dynamic use-cases with resources on-demand

Firebolt provides the flexibility to handle your ever changing resource requirements on-demand.
It decouples storage and compute to tackle the most challenging tasks, enabling parallelism and seamless resizing of nodes without expensive and time consuming resharding operations.

By isolating resources, different teams can start/stop compute engines for different workloads/tasks like ETL, heavy querying and exploration while getting the performance that they need.

Firebolt - elasticity at scale

Gain maximum control with minimum hassle

Firebolt’s SaaS was designed based on the concepts of serverless simplicity without compromising control. Making a job run faster or scaling your data set no longer requires time consuming re-sharding/re-clustering, vacuuming, fragmentation and other heavy lifting tasks. And still, you have the power to control resource consumption or make one workload run faster than another. Choose the optimal resource for each task and Firebolt will performs on the spot.

Elasticity controll

Break down the cost barriers to perform at scale

We want you to work freely, whenever you want, with whoever you want on your most intensive tasks, and spin up compute power as needed. That’s why Firebolt users pay a fixed fee + for AWS resources at the base cost. By providing full control to allocate the right resources for the right tasks, Firebolt helps you minimize your AWS bill and enjoy a truly efficient and seamless experience.
Learn more about Firebolt pricing.

data warehouse cost barriers

Curious to learn more?

Discover how Firebolt powers your dynamic requirements with elasticity