Change the Economics of Big Data Processing
Reduce your Spark and Databricks compute costs by 50% or more without moving your data, rewriting your applications, or replacing the infrastructure you've already invested in.
A different approach to cost reduction
Don’t Just Buy Compute Cheaper. Use Less of It.
Many cloud cost optimization approaches focus on finding cheaper ways to purchase or provision the same compute.
Fusion reduces the amount of compute required in the first place.
Today
Buy compute cheaper
Use less compute
EACH BLOCK = ONE UNIT OF COMPUTE
TYPICAL CLOUD COST OPTIMIZATION
Buy compute cheaper
Use discounts, commitments, Spot capacity, or pricing optimization.
AQFER FUSION
Use less compute
More efficient execution reduces the compute required to process the workload.
TYPICAL CLOUD COST OPTIMIZATION
Optimize infrastructure
Tune clusters, instances, and resource allocation.
AQFER FUSION
Optimize processing
Improve how demanding workloads are actually executed.
TYPICAL CLOUD COST OPTIMIZATION
Continuously manage costs
Engineering and FinOps teams continually tune infrastructure.
AQFER FUSION
Change the underlying economics
Fusion intelligently selects a more efficient execution path.
TYPICAL CLOUD COST OPTIMIZATION
Savings can require change
Reconfigure infrastructure, workloads, or operations.
AQFER FUSION
Keep your environment intact
Keep your applications, data, workflows, and Spark environment.
Fusion attacks the compute problem at the source.
Same code. Same data. Same workflows. Less compute.
Built for production
Lower Cost Without Sacrificing Reliability
Fusion's storage centric architecture is designed to keep large workloads running while reducing failures, retries, and wasted compute.
OOM Free Streaming
Process massive datasets in streaming chunks with a static memory footprint.
Continuous Checkpointing
Resume interrupted workloads from where they stopped instead of starting over.
Graceful Resource Scaling
When resources are constrained, workloads can continue processing rather than fail.
Spot & Preemptible Optimized
Use lower cost Spot and preemptible infrastructure with less risk of restarting an entire workload.
