IN-MEMORY ANALYTICS APPLIANCE

Numascale Analytics Appliance is designed for running your largest data analytics workload in-memory. Get your results in seconds instead of minutes and in minutes instead of hours or days compared to traditional disk-based Hadoop clusters and data warehouses. Leveraging Random Access Memory (RAM) instead of traditional hard-disks, a Numascale system can access data in nanoseconds instead of milliseconds.

Leveraging Numascale’s unique shared memory interconnect technology, Numascale systems can scale from 1.1TB RAM/72 cores to 18TB RAM and 1152 cores running as a single shared memory server. No cluster of operating systems or nodes to manage.

This simplicity of Numascales Analytics Appliance, means data scientists and power users can now access a supercomputer with PC desktop-like experience with thousands of cores and terabytes of RAM.

 

 

Numascale R Appliance

R–  is the world’s most popular statistical programming language and environment. However, R quickly runs into problems as soon as the dataset grows, or the computations become complex and CPU intensive. Complex and large calculations becomes too slow, or will not run at all.

Numascale R Appliance provides R with all the memory it needs for massive data set computations, and enables Data scientists to use R for any size problem. No more need to re-code in Python or C++ once the dataset and complexity grows.

The Numascale R Appliance is configured for optimal R-based analytics, taking into account R requirements on memory, CPU-cores and hard-disk (configured with RAID10 for balanced IO/storage performance).  Numascale R  Appliance includes the Numascale version of Open R, and a pre-installed and configured version of RStudio. R code developed for Open R will run without modifications, and take the full advantage of all the memory and cores available.

 

 

Numascale R Appliance:

  • Open Source R optimized* for Numascale
  • Numascale Manager
  • CentOS 7.x with Numascale optimized performance kernel

 

Tested partner applications includes:

RStudio Server (Open Source Edition)

RStudio Server Pro (Professional Edition)

 

DATA SHEET: Analyze bigger data with higher precision using Numascale R Analytics Appliance

Numascales in-memory Analytics Appliance is designed for running your data analytics workload in-memory. This gives a significant speed-up compared to traditional disk-based Hadoop clusters and data warehouses.

Through Numascale’s unique shared memory interconnect technology, Numascale systems can scale from from 768GB RAM / 192 cores to 12TB RAM / 3072 cores running as a single shared memory server. No cluster of operating systems or nodes to manage.

Data scientists and power users can now run their R-code on a supercomputer with a PC desktop-like experience and with thousands of cores and terabytes of RAM.

Numascale Database Appliance

MonetDB column-store database integrated with R is the ideal platform for a database centric analytics platform. MonetDB pioneered column-store database since the early 1990’s and is today found in many leading edge databases and applications.

MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.

Numascale Database Appliance:

  • MonetDB Numascale Edition
  • Open Source R optimized- for Numascale
  • Numascale Manager
  • CentOS 7.x with Numascale optimized performance kernel

 

Tested partner applications includes:

  • RStudio Server (Open Source Edition)
  • RStudio Server Pro (Professional Edition)