Reduce processing time and increase pipeline throughput to meet your SLAs
Reduced processing costs, optimized performance
Supports all infrastructure
Whether your systems are on-prem, cloud-based or hybrid, Intel Granulate supports all infrastructure, including EMR, Dataproc, HDInsight, Cloudera, MapReduce, Spark, PySpark, and more.
Real time continuous orchestration
Avoid constant monitoring and benchmarking with autonomous, continuous optimization, tuning big data workloads to their unique cost-performance sweet spot.
Automatic | Full-stack | Scalable
Hit your Big Data workload targets
Complete more jobs in less time
Optimized to improve cluster density and remove overprovisioning waste.
Optimized dynamic allocation and removal of executors based on the job patterns and predictive idle heuristics.
Leveraging Crypto architecture, accelerators, and instruction sets for operations
Release of memory space and objects sizes to reduce allocation overhead
JNI overhead reduction, execution control flow and reflection overhead optimization
3 steps through just one init script
1. Install- 15 minutes
Start a free trial of Intel Granulate on your Big Data applications
2. Evaluate - 1 week
Let Intel Granulate autonomously learn the data application and workloads
03. Deploy - 15 minutes
Activate Intel Granulate and immediately experience data performance improvements