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Reduce Job Completion Time and Costs
Improve Processing Performance and Reduce Big Data Infrastructure Costs With Granulate
Granulate for Better Big Data Performance
Data and analytics are everywhere as organizations become increasingly data-driven in their operations. Your big-data infrastructure is a significant cost-driver, and we help you improve your stack's performance while significantly cutting compute costs.
Granulate supports EMR, Dataproc, HDInsight, Cloudera, Hadoop, Spark, PySpark, PrestoSQL and other platforms out of the box.
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.
Enjoy optimized performance for all applications running data manipulations.
Ensure optimal ETL performance with real-time continuous optimization of the operating system's resource management, driven by your workload's 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
Slash 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
AWS
Java
Kubernetes
Zwift Improves Single Sign-On DataGrid Reducing Latency by 60%
60
Reduced Latency (P95)
14
Reduced Latency (P75)
25
Reduced CPU Utilization
AWS
Kubernetes
Spark
Salt Security Cuts Spark Workload Costs by 40% with Granulate
40
Reduced Costs
15
Reduced Spark Time
35
Reduced CPU Utilization
AWS
Kafka
Dream11 Improves Kafka Workload Performance and Reduces AWS Costs by 40%
40
Reduced Costs
40
Increased Throughput
50
Reduced CPU Utilization
GCP
Kubernetes
Kiwi.com Trims GKE Travel Tech Workload Core Count by Over 20%
20
Reduced CPU Utilization
1
Week for Results
AWS
Python
How MoEngage Achieved 40% Cost Reductions on AWS With Granulate
40
Reduced Costs
62
Reduced Latency
34
Reduced CPU Utilization
Big Data
AWS
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
AWS
Python
Nylas Achieves Over 35% Cost Reduction on AWS Leveraging Granulate
35
Cost Reduction
58
Latency Reduction
35
Throughput Increase
Big Data
Python
Mobileye Reduced 45% On Their AWS Costs Leveraging Granulate
45
Reduced AWS Costs
44.5
Faster Job Completion Time
AWS
Java
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
AWS
Java
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
Big Data
AWS
Python
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
AWS
Java
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
Big Data
AWS
Java
How AppsFlyer cut compute costs by 30% with no code changes
25
Spark cost reduction
35
Kafka cost reduction
30
Annual cost reduction
Node.js
On-Premise
Kubernetes
How PicsArt cut compute costs by 28% with zero R&D efforts
10
Reduced CPU Utilization
28
Reduced Compute Costs
12
Reduced Latency
AWS
Java
Kubernetes
How Perion cut compute costs by 52% with no R&D efforts
60
Reduced CPU Utilization
52
Reduced Compute Cost
10
Reduced Response Time
AWS
Kubernetes
Go
How Coralogix cut compute costs by 45% with no R&D efforts
29
Reduced CPU Utilization
45
Reduced Compute Cost
15
Increased Throughput
Java
On-Premise
How StartApp cut compute costs by 33% in just two weeks
25
Reduced CPU Utilization
33
Reduced Compute Cost
30
Reduced Latency
AWS
Python
Bigabid uses Granulate to dramatically reduce bid timeouts, latency, and compute costs
90
Fewer Bid Timeouts
60
Reduced Cloud cost
70
Reduced P95 Latency
AWS
Java
Kubernetes
Zwift Improves Single Sign-On DataGrid Reducing Latency by 60%
60
Reduced Latency (P95)
14
Reduced Latency (P75)
25
Reduced CPU Utilization
AWS
Kubernetes
Spark
Salt Security Cuts Spark Workload Costs by 40% with Granulate
40
Reduced Costs
15
Reduced Spark Time
35
Reduced CPU Utilization
AWS
Kafka
Dream11 Improves Kafka Workload Performance and Reduces AWS Costs by 40%
40
Reduced Costs
40
Increased Throughput
50
Reduced CPU Utilization
GCP
Kubernetes
Kiwi.com Trims GKE Travel Tech Workload Core Count by Over 20%
20
Reduced CPU Utilization
1
Week for Results
AWS
Python
How MoEngage Achieved 40% Cost Reductions on AWS With Granulate
40
Reduced Costs
62
Reduced Latency
34
Reduced CPU Utilization
Big Data
AWS
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
AWS
Python
Nylas Achieves Over 35% Cost Reduction on AWS Leveraging Granulate
35
Cost Reduction
58
Latency Reduction
35
Throughput Increase
Big Data
Python
Mobileye Reduced 45% On Their AWS Costs Leveraging Granulate
45
Reduced AWS Costs
44.5
Faster Job Completion Time
AWS
Java
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
AWS
Java
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
Big Data
AWS
Python
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
AWS
Java
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
Big Data
AWS
Java
How AppsFlyer cut compute costs by 30% with no code changes
25
Spark cost reduction
35
Kafka cost reduction
30
Annual cost reduction
Node.js
On-Premise
Kubernetes
How PicsArt cut compute costs by 28% with zero R&D efforts
10
Reduced CPU Utilization
28
Reduced Compute Costs
12
Reduced Latency
AWS
Java
Kubernetes
How Perion cut compute costs by 52% with no R&D efforts
60
Reduced CPU Utilization
52
Reduced Compute Cost
10
Reduced Response Time
AWS
Kubernetes
Go
How Coralogix cut compute costs by 45% with no R&D efforts
29
Reduced CPU Utilization
45
Reduced Compute Cost
15
Increased Throughput
Java
On-Premise
How StartApp cut compute costs by 33% in just two weeks
25
Reduced CPU Utilization
33
Reduced Compute Cost
30
Reduced Latency
AWS
Python
Bigabid uses Granulate to dramatically reduce bid timeouts, latency, and compute costs