Continuous and Autonomous Big Data Optimization Solution Reducing Costs Through Improved Performance
Reduce Processing Time and Increase Pipeline Throughput
Big Data workloads are growing fast and becoming more expensive. By using Granulate, applications run more efficiently, with fewer wasted resources, faster time to completion, accelerated pipeline throughput, resulting in reduced costs.
45%
Reduce Compute Cost By
40%
Reduce Processing Time By
47%
Reduce CPU Utilization By
0
Code Changes
Reduced Processing Costs, Optimized Performance
SUPPORTS ALL INFRASTRUCTURE
Whether your systems are on-prem, cloud-based or hybrid, 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.
Hit Your Big Data Workload Targets
Reduce processing costs across Spark, MapReduce, Kafka, Yarn, and more
Improve performance by continuously optimizing application runtime and resource allocation
Unburden your R&D team with continuous orchestration and zero code changes
Meet your SLAs with faster job completion time
Complete More Jobs in Less Time
Granulate Allows Data Science, Data Engineering and Data Analysis Teams to Improve Performance With
YARN RESOURCE ALLOCATION
Optimized to improve cluster density and remove overprovisioning waste.
SPARK DYNAMIC ALLOCATION
Optimized dynamic allocation and removal of executors based on the job patterns and predictive idle heuristics.
CRYPTO & COMPRESSION ACCELERATION
Leveraging Crypto architecture, accelerators, and instruction sets for operations
MEMORY ARENAS OPTIMIZATION
Release of memory space and objects sizes to reduce allocation overhead
JVM RUNTIME OPTIMIZATION
JNI overhead reduction, execution control flow and reflection overhead optimization
3 Steps Through Just One init Script
1
Install
Start a free trial of Granulate on your Big Data applications
2
Evaluate
Let Granulate autonomously learn the data application and workloads
3
Deploy
Activate Granulate and immediately experience data performance improvements
See How It Works
Java
AWS
Kubernetes
Zwift Improves Single Sign-On DataGrid Reducing Latency by 60%
60
Reduced Latency (P95)
14
Reduced Latency (P75)
25
Reduced CPU Utilization
Spark
Big Data
AWS
Kubernetes
Salt Security Cuts Spark Workload Costs by 40% with Granulate
40
Reduced Costs
15
Reduced Spark Time
35
Reduced CPU Utilization
Kafka
Big Data
AWS
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
Python
AWS
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
Python
AWS
Nylas Achieves Over 35% Cost Reduction on AWS Leveraging Granulate
35
Cost Reduction
58
Latency Reduction
35
Throughput Increase
Python
Big Data
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
Python
AWS
Big Data
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
Java
AWS
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
Java
Kubernetes
AWS
How Perion cut compute costs by 52% with no R&D efforts
60
Reduced CPU Utilization
52
Reduced Compute Cost
10
Reduced Response Time
Go
Kubernetes
AWS
How Coralogix cut compute costs by 45% with no R&D efforts
29
Reduced CPU Utilization
45
Reduced Compute Cost
15
Increased Throughput
On-Premise
Java
How StartApp cut compute costs by 33% in just two weeks
25
Reduced CPU Utilization
33
Reduced Compute Cost
30
Reduced Latency
Python
AWS
Bigabid uses Granulate to dramatically reduce bid timeouts, latency, and compute costs
90
Fewer Bid Timeouts
60
Reduced Cloud cost
70
Reduced P95 Latency
Java
AWS
Kubernetes
Zwift Improves Single Sign-On DataGrid Reducing Latency by 60%
60
Reduced Latency (P95)
14
Reduced Latency (P75)
25
Reduced CPU Utilization
Spark
Big Data
AWS
Kubernetes
Salt Security Cuts Spark Workload Costs by 40% with Granulate
40
Reduced Costs
15
Reduced Spark Time
35
Reduced CPU Utilization
Kafka
Big Data
AWS
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
Python
AWS
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
Python
AWS
Nylas Achieves Over 35% Cost Reduction on AWS Leveraging Granulate
35
Cost Reduction
58
Latency Reduction
35
Throughput Increase
Python
Big Data
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
Python
AWS
Big Data
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
Java
AWS
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
Java
Kubernetes
AWS
How Perion cut compute costs by 52% with no R&D efforts
60
Reduced CPU Utilization
52
Reduced Compute Cost
10
Reduced Response Time
Go
Kubernetes
AWS
How Coralogix cut compute costs by 45% with no R&D efforts
29
Reduced CPU Utilization
45
Reduced Compute Cost
15
Increased Throughput
On-Premise
Java
How StartApp cut compute costs by 33% in just two weeks
25
Reduced CPU Utilization
33
Reduced Compute Cost
30
Reduced Latency
Python
AWS
Bigabid uses Granulate to dramatically reduce bid timeouts, latency, and compute costs