Accelerate data streaming. Reduce processing time.
35%
Average Response
Time Reduction
Time Reduction
20%
Average Big Data
Cost Reduction
Cost Reduction
0
Code Changes
Seamlessly reduce Databricks costs
Autonomous optimization to enable budget allocation to new data streams
while continuously preventing wasted resources
Runtime Optimization
Improve job completion times, reduce CPU, and increase throughput, for faster job completion time and more efficient data processing
Dynamic Capacity Management
Cut costs, streamline governance, and optimize workloads through node and DBU reduction
Seamless Scaling
Whether you use fixed clusters or utilize Databricks autoscaling
Complete more Databricks jobs faster
Continuously adapt resources and runtime environments to application workload patterns
Spark Optimization
JVM Runtime Optimization
Memory Arenas Optimization
Compression & Serialization Acceleration
Improve performance, reduce costs
Granulate’s solution tailors scheduling and prioritization decisions regarding CPU, locks, caches and memory to improve your application-specific infrastructure’s performance.
Easy and autonomous deployment
Granulate’s solution can be deployed with no code changes in minutes, leading to performance improvements, increased throughput and up to 45% cost savings on Databricks workloads in just days.
Enhanced dynamic autoscaling
The solution complements Databricks’ autoscaler by autonomously customizing each individual workload’s provisioned resources, improving performance and enabling engineering teams to process and analyze data at the pace and scale they need.
Get started in minutes
Install
Quickly install Intel Granulate on your Databricks applications
Evaluate
Let Intel Granulate autonomously learn the data application and workloads
Activate
Activate Intel Granulate and immediately experience Databricks performance improvements and cost reduction
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