Cancun MemoryLake Platform

THE CHALLENGE

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DATA GROWTH LEADING TO INFRASTRUCTURE SPRAWL

The exploding growth of data combined with the limitations of today’s infrastructures are outpacing data-centric businesses’ ability to effectively gain meaningful insights that help them operationalize their businesses and drive competitive advantages.  Most big data workloads spend the majority of time performing data access to and from slow media, and less time in computation. Slow data IO cripples the analytics process and dramatically increases time to insight – and processing growing data sets with the same infrastructure just exacerbates these outcomes.  To counter these challenges, corporations are deploying larger infrastructures to parallelize processing, which leads to infrastructure sprawl and escalating costs.

THE SOLUTION

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CANCUN MEMORYLAKE™: An IN-MEMORY SOFTWARE PLATFORM FOR ACCELERATED INSIGHTS

Cancun’s MemoryLake™ software platform delivers a software-defined memory lake (SDML) that allows for memory-speed IO, enabling applications to run up to 10X faster, allowing customers to accelerate time to insights and enjoy tremendous infrastructure efficiencies.  Cancun’s MemoryLake™ platform can be deployed either on-premises or in the cloud, and is designed to be frictionless – no changes are required to application code or the underlying infrastructure.

MemoryLake Architecture

An In-Memory, Software Platform For Accelerated Insights

MemoryLake™Platform consists of 3 main software components:
MemoryLake™ Engine    –   MemoryLake™ Controller    –   MemoryLake™ API

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ENGINE

The MemoryLakeTM Engine is a transparent software layer residing in each data node of the cluster, and delivers memory-speed access to data.  The MemoryLakeTM Engine can leverage memory and storage resources within or across nodes in the cluster.

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CONTROLLER

The MemoryLakeTM Controller provides a cluster-wide management console for provisioning, monitoring, and maintenance operations. It includes functions for installation, rollback, upgrade, configuration, service scheduling, and metrics capture.  The MemoryLakeTM Controller can run either in a container or on a bare metal server, and can be configured for redundancy.

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API

With a fully RESTful API, Cancun MemoryLakeTM can be integrated into existing big data environments and allow third-party applications to integrate with the MemoryLakeTM Platform to create higher-value offerings.

Platform Capabilities

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Faster Time To Insights

MEMORY SPEED DATA IO
IN-MEMORY WORKFLOW PIPELINING
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Deployment Simplicity & Flexibility

ON-PREM, PUBLIC, HYBRID CLOUD
FRICTIONLESS DEPLOYMENT
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Infrastructure Efficiency

OPTIMIZED MULTI-TIERING
UNIFIED DATA ACCESS