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Use Cases
Optimizing Compute Workloads
Granulate operates at the underlying level of the operating system, and is therefore agnostic to your system architecture and environment:
- Every architecture - On-prem, cloud, multi-cloud, or hybrid.
- Any environment - Docker, K8s, OpenShift, VMware Tas, OpenStack, GCP, VM

- Custom applications: Java, Scala Clojure, Kotlin
- Big data workloads: Spark, PySpark, Hadoop, Databricks
- Stream processing - Kafka, ActiveMQ
Workload / Programming Language | Improvements % |
Java, Scala, Clojure, Kotlin | 30%-60% |
Python | 25%-40% |
Ruby | 20% -40% |
Node,js | 15%-35% |
Big-Data and Databricks | 20%-40% |
Stream Processing | 10%-30% |

- Windows-based systems
- Serverless workloads
- Workloads based on the following runtimes - .Net, C, C++, PHP
- SQL database workloads
- GPU-based workloads