Technology Stack
Granulate supports: EMR, Dataproc, HDInsight, Cloudera, Hadoop, Spark, PySpark, and PrestoSQL and other platforms out of the box.
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Reduce Job Completion Time and Costs
Improve Processing Performance and Reduce Big Data Infrastructure Costs With Granulate
Our Values
Data and analytics are everywhere as organizations become increasingly data-driven in their operations. Your big-data infrastructure is becoming a significant cost-driver. Granulate helps you improve your big-data stack performance while significantly cutting compute costs.
Reduce
Compute Cost By
Compute Cost By
Reduce
Processing Time By
Processing Time By
Reduce CPU Utilization By
Code Changes
Autonomous Application-Driven Optimized Infrastructure
Real Time Continuous Optimization
Granulate is pioneering real-time continuous optimization in dynamic cloud environments. Granulate leverages continuous OS-level adaptations, creating a streamlined environment, tailoring your infrastructure to your big-data workload.
Enterprise Grade Data-Lake Performance Optimization
Enjoy optimized performance for all applications running data manipulations.
Ensure optimal ETL performance with real-time continuous optimization of the operating systems resource management driven by the workload characteristics.
Increase stability and reliability with fewer alerts and reduced failure rates.
Enterprise ready and scalable, Granulate adapts and scales with your workload with no administration.
Improve agility, Data Engineers and Data Scientists can focus on business needs without worrying too much about underlying infrastructure performance.
Automatic Cost Reduction Of Your Big Data Workloads
Cloud
Plug-and-Play
Granulate can run on any cloud based data-lake or platform
Faster Execution
Run the same jobs twice faster, delivering 50% cost reduction
Less Instances
Cut the amount of instances you need to run the same pipeline and enjoy lower costs
Data Center
Improved Capacity
Reduce TCO and increase capacity with automated performance optimization
Maximize Existing Investment
Leverage the increased capacity to reduce server turnover
Modernize For Cloud
Support future evolution with a consistent software stack that can expand into the public cloud
Plug-And-Play Deployment In Your Big-Data Environments In Less Than 5 Minutes
Start Optimizing Your Data-Lake Cost and Performance With A Single Command Line
Simple Installation
Install Granulate agents using a single command line, the rest is autonomous
Infrastructure Agnostic
Granulate supports all platforms, environments and architectures
No Code Change
Optimization of the operating system resource management without any code changes
Zero Configuration
Fully automated, no code changes, maintenance or configuration
Quick Time To Savings
lash the amount of resources you need by leveraging the reduced average job completion time and CPU utilization
3 Steps, One Week For 60% Cost And Performance Optimization
1
Install - 15 minutes
Start a limited free trial of Granulate
2
Evaluate - 1 week
Sit back and watch Granulate autonomously learn the application and specific workload
3
Deploy - 15 minutes
Activate Granulate and be amazed, start experiencing performance improvements you didn’t think were possible.
4
With others
See How It Works
Introducing Granulate: The Real-time Continuous Optimization Solution
How 605 Reduced EMR Costs by 60% in Less than a Week
60%
Cost Reduction
30%
CPU Utilization Reduction
60%
Average Job Completion Time Reduction
Nylas achieves Over 35% Cost Reduction on AWS Leveraging Granulate
35%
Cost Reduction
58%
Latency Reduction
35%
Throughput Increase
Mobileye Reduced 45% On Their AWS Costs Leveraging Granulate
45%
Reduced AWS Costs
44.5%
Faster Job Completion Time
How SundaySky slashed AWS costs by 15% with no R&D efforts in only one week
15%
Bidder Service Reduced Costs
20%
Bidder CPU Utilization Reduction
How Fyber slashed AWS costs by 20% with no code changes in only one week
20%
Reduced Compute Costs
17%
Reduced Response Time
15%
Increased Throughput
How Granulate helps Singular reduce cost by 35% on mission-critical services on Amazon ECS
43%
Average Job Completion Time Reduction
55%
Attribution Service Reduced Average Latency
30%
Data Pipeline Service Reduced Costs
How Nativo achieved over 22% cost reduction in a week without any code changes or R&D efforts
31%
Reduced Average Latency
18%
Increased Throughput
10%
Reduced CPU utilization
How AppsFlyer cut compute costs by 30% with no code changes
25%
Spark cost reduction
35%
Kafka cost reduction
30%
Annual cost reduction
How PicsArt cut compute costs by 28% with zero R&D efforts
10%
Reduced CPU Utilization
28%
Reduced Compute Costs
12%
Reduced Latency
How Perion cut compute costs by 52% with no R&D efforts
60%
Reduced CPU Utilization
52%
Reduced Compute Cost
10%
Reduced Response Time
How Coralogix cut compute costs by 45% with no R&D efforts
29%
Reduced CPU Utilization
45%
Reduced Compute Cost
15%
Increased Throughput
How StartApp cut compute costs by 33% in just two weeks
25%
Reduced CPU Utilization
33%
Reduced Compute Cost
30%
Reduced Latency
Bigabid uses Granulate to dramatically reduce bid timeouts, latency, and compute costs
90%
Fewer Bid Timeouts
60%
Reduced Cloud cost
70%
Reduced P95 Latency
How 605 Reduced EMR Costs by 60% in Less than a Week
60%
Cost Reduction
30%
CPU Utilization Reduction
60%
Average Job Completion Time Reduction
Nylas achieves Over 35% Cost Reduction on AWS Leveraging Granulate
35%
Cost Reduction
58%
Latency Reduction
35%
Throughput Increase
Mobileye Reduced 45% On Their AWS Costs Leveraging Granulate
45%
Reduced AWS Costs
44.5%
Faster Job Completion Time
How SundaySky slashed AWS costs by 15% with no R&D efforts in only one week
15%
Bidder Service Reduced Costs
20%
Bidder CPU Utilization Reduction
How Fyber slashed AWS costs by 20% with no code changes in only one week
20%
Reduced Compute Costs
17%
Reduced Response Time
15%
Increased Throughput
How Granulate helps Singular reduce cost by 35% on mission-critical services on Amazon ECS
43%
Average Job Completion Time Reduction
55%
Attribution Service Reduced Average Latency
30%
Data Pipeline Service Reduced Costs
How Nativo achieved over 22% cost reduction in a week without any code changes or R&D efforts
31%
Reduced Average Latency
18%
Increased Throughput
10%
Reduced CPU utilization
How AppsFlyer cut compute costs by 30% with no code changes
25%
Spark cost reduction
35%
Kafka cost reduction
30%
Annual cost reduction
How PicsArt cut compute costs by 28% with zero R&D efforts
10%
Reduced CPU Utilization
28%
Reduced Compute Costs
12%
Reduced Latency
How Perion cut compute costs by 52% with no R&D efforts
60%
Reduced CPU Utilization
52%
Reduced Compute Cost
10%
Reduced Response Time
How Coralogix cut compute costs by 45% with no R&D efforts
29%
Reduced CPU Utilization
45%
Reduced Compute Cost
15%
Increased Throughput
How StartApp cut compute costs by 33% in just two weeks
25%
Reduced CPU Utilization
33%
Reduced Compute Cost
30%
Reduced Latency
Bigabid uses Granulate to dramatically reduce bid timeouts, latency, and compute costs
90%
Fewer Bid Timeouts
60%
Reduced Cloud cost
70%
Reduced P95 Latency
