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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.
60%
Reduce
Compute Cost By
45%
Reduce
Processing Time By
47%
Reduce CPU Utilization By
0
Code Changes

Autonomously Optimized Application-Aware Infrastructure

Technology Stack

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.

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 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
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