Autonomous Continuous Optimization for Big Data Workloads
- Reduce processing costs on Spark, MapReduce, Kafka, and more
- Improve performance by continuously optimizing application runtime and resource allocation
- Unburden your R&D team with continuous orchestration and ZERO CODE CHANGES
Whether your systems are on-prem, cloud-based or hybrid Granulate supports all infrastructure:
Execution engines
Platform
RESOURCE
ORCHESTRATION
Single, multi
& Hybrid cloud
How Can You Achieve Reduced CPU Utilization and Improved Processing Time?
YARN Resource Allocation
Optimize the allocation of your YARN resources to improve cluster density and remove overprovisioning waste.
Spark Dynamic Allocation
Optimized dynamic allocation and removal of executors based on the job patterns and predictive idle heuristics.
Crypto & Compression Acceleration
Leverage Crypto architecture, accelerators, and instruction set for operations.
Memory Arenas Optimization
PGO allocation and release of memory space and objects sizes to reduce allocation overhead
JVM Runtime Optimization
JNI overhead reduction, execution control flow and reflection overhead optimization
Trusted By
Hear from our customers
With better latency conditions and more efficient CPU utilization, we were able to get more out of our machines and cut Spark job completion time drastically [with Granulate].
Gal Porat, DevOps Manager at Salt Security
Hear from our customers
Because our new code gets seamlessly accelerated every day, we can develop more quickly, and this means our time to market is much faster
Tal Babaioff, VP Mapping and Localization
Hear from our customers
I did not expect to actually improve performance so much that we could scale down our workload 35% and still get an almost 60% improvement to latency
Caleb Geene, Director of Site Reliability Engineering
Hear from our customers
With better latency conditions and more efficient CPU utilization, we were able to get more out of our machines and cut Spark job completion time drastically [with Granulate].
Gal Porat, DevOps Manager at Salt Security
Hear from our customers
Because our new code gets seamlessly accelerated every day, we can develop more quickly, and this means our time to market is much faster
Tal Babaioff, VP Mapping and Localization
Hear from our customers
I did not expect to actually improve performance so much that we could scale down our workload 35% and still get an almost 60% improvement to latency
Caleb Geene, Director of Site Reliability Engineering