### Technology Stack

Granulate supports: EMR, Dataproc, HDInsight, Cloudera, Hadoop, Spark, PySpark, and PrestoSQL and other platforms out of the box.

Improve Processing Performance and Reduce Big Data Infrastructure Costs With Granulate

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

Granulate supports: EMR, Dataproc, HDInsight, Cloudera, Hadoop, Spark, PySpark, and PrestoSQL and other platforms out of the box.

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 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.

Granulate can run on any cloud based data-lake or platform

Run the same jobs twice faster, delivering 50% cost reduction

Cut the amount of instances you need to run the same pipeline and enjoy lower costs

Reduce TCO and increase capacity with automated performance optimization

Leverage the increased capacity to reduce server turnover

Support future evolution with a consistent software stack that can expand into the public cloud

Start Optimizing Your Data-Lake Cost and Performance With A Single Command Line

Install Granulate agents using a single command line, the rest is autonomous

Granulate supports all platforms, environments and architectures

Optimization of the operating system resource management without any code changes

Fully automated, no code changes, maintenance or configuration

lash the amount of resources you need by leveraging the reduced average job completion time and CPU utilization

1

Start a limited free trial of Granulate

2

Sit back and watch Granulate autonomously learn the application and specific workload

3

Activate Granulate and be amazed, start experiencing performance improvements you didn’t think were possible.

4

Introducing Granulate: The Real-time Continuous Optimization Solution

40%

Reduced Costs

62%

Reduced Latency

34%

Reduced CPU Utilization

60%

Cost Reduction

30%

CPU Utilization Reduction

60%

Average Job Completion Time Reduction

35%

Cost Reduction

58%

Latency Reduction

35%

Throughput Increase

45%

Reduced AWS Costs

44.5%

Faster Job Completion Time

15%

Bidder Service Reduced Costs

20%

Bidder CPU Utilization Reduction

20%

Reduced Compute Costs

17%

Reduced Response Time

15%

Increased Throughput

43%

Average Job Completion Time Reduction

55%

Attribution Service Reduced Average Latency

30%

Data Pipeline Service Reduced Costs

31%

Reduced Average Latency

18%

Increased Throughput

10%

Reduced CPU utilization

25%

Spark cost reduction

35%

Kafka cost reduction

30%

Annual cost reduction

10%

Reduced CPU Utilization

28%

Reduced Compute Costs

12%

Reduced Latency

60%

Reduced CPU Utilization

52%

Reduced Compute Cost

10%

Reduced Response Time

29%

Reduced CPU Utilization

45%

Reduced Compute Cost

15%

Increased Throughput

25%

Reduced CPU Utilization

33%

Reduced Compute Cost

30%

Reduced Latency

90%

Fewer Bid Timeouts

60%

Reduced Cloud cost

70%

Reduced P95 Latency

40%

Reduced Costs

62%

Reduced Latency

34%

Reduced CPU Utilization

60%

Cost Reduction

30%

CPU Utilization Reduction

60%

Average Job Completion Time Reduction

35%

Cost Reduction

58%

Latency Reduction

35%

Throughput Increase

45%

Reduced AWS Costs

44.5%

Faster Job Completion Time

15%

Bidder Service Reduced Costs

20%

Bidder CPU Utilization Reduction

20%

Reduced Compute Costs

17%

Reduced Response Time

15%

Increased Throughput

43%

Average Job Completion Time Reduction

55%

Attribution Service Reduced Average Latency

30%

Data Pipeline Service Reduced Costs

31%

Reduced Average Latency

18%

Increased Throughput

10%

Reduced CPU utilization

25%

Spark cost reduction

35%

Kafka cost reduction

30%

Annual cost reduction

10%

Reduced CPU Utilization

28%

Reduced Compute Costs

12%

Reduced Latency

60%

Reduced CPU Utilization

52%

Reduced Compute Cost

10%

Reduced Response Time

29%

Reduced CPU Utilization

45%

Reduced Compute Cost

15%

Increased Throughput

25%

Reduced CPU Utilization

33%

Reduced Compute Cost

30%

Reduced Latency

90%

Fewer Bid Timeouts

60%

Reduced Cloud cost

70%

Reduced P95 Latency