AirMettle^™

Accelerate Big Data Analytics by 100X or more

About AirMettle

AirMettle develops Analytical Storage solutions that simplify and accelerate Big Data analytics by orders of magnitude — while reducing analytics memory, storage, compute, and networking costs. Our patented technologies integrate highly-scalable parallel processing to select, group, aggregate, and format data in the data lake — rather than moving vast amounts of data to analytic memory or a data warehouse for basic processing. And, we don't require exotic hardware; AirMettle works with industry-standard servers, storage, and networking solutions.

Patented AirMettle solutions:

Accelerate petabyte-scale data analytics by orders of magnitude to speed time to insight
Reduce network congestion, lower compute costs, and lessen — or even eliminate — data warehouse requirements.
Support a range of analytic solutions using industry-standard S3-compatible interface
Integrate with open source tools like Apache Spark, Presto, and Arrow.
Work with industry-standard servers, storage, and networking solutions.

National Science Foundation

Real-Time Smart Data Lake
Read More...

National Oceanic and Atmospheric Administration

Accelerated in-situ analysis of multi-dimensional data
Read More...

Platforms

Built on AWS and Oracle Cloud platforms

Cloud-first

Selected member of the AWS Activate program

On-premises

Developing on-premises AirMettle solutions as a member of the NVIDIA Inception program.

Database

Multi-dimensional Data

Data Storage Science

ds-science.com

Aeon Computing

www.aeoncomputing.com

Data Landscape

The future of data-centric business.

Data generated by business operations, infrastructure, and research, as well as commercial products and services, streams across the internet and internal networks into storage. This rapidly growing data comes in many forms, and increasingly is stored as very large objects in data lakes. Currently, most organizations report that they either already have implemented some form of data lake, or are actively evaluating the technology. Regardless of industry, companies that have implemented data lakes (and associated analytics) are outperforming their competitors.

Challenges of insight

Over 80% of the execution time for analytics applications is spent on ETL (Extract/Transform/Load) and basic parsing tasks to find and extract relevant data sub-sets, rather than on processing the query itself. Moving large sets of raw data to the analytics platform for these basic operations is complex, expensive, and slow — delaying the adoption of transformative AI solutions, hampering the flow and analysis of scientific information, and hindering enterprises from gaining all the value possible from their big data assets.

The AirMettle Paradigm

We change the fundamental relationship between data storage and analytics

AirMettle's core innovation is a software-defined storage platform with integrated distributed parallel processing enabling direct queries of semi-structured content in storage. The value gained is reducing network traffic to the query result set instead of the whole data set.

AirMettle can transform disparate data formats into exactly those required by analysis tools, substantially reduce network traffic, and decrease the amount of expensive memory needed by higher-level analytics applications — dramatically accelerating all analytics from storage, especially in petabyte-scale environments.

Team

Best known as the founder of Violin Memory where he developed the original concept; hired and led the core team; raised venture capital from strategic, institutional, and individual investors; established key strategic partnerships in both supply chain and go-to market partners; and developed multiple accounts.

Donpaul Stephens

Founder and CEO

Best known as one of Betfair's founding engineers where, as Chief Technologist, he built the platform that grew into one of the world's largest online gaming companies. Enabling this growth was an internally developed database that processed more transactions than the combined European stock exchanges and catalyzed the launch of Betfair's own financial exchange LMAX.

Matt Youill

Founder, Analytics

Bringing over 20 years of experience designing and implementing large scale consumer-facing products and services for organizations such as the US PTO and AOL. She is one of the principal developers of the AirMettle distributed object storage system.

Chia-lin Wu

Founder, Object Storage

Brings executive management of products, marketing, and sales in startups to Fortune 100 companies â€” including Cisco, Citrix, Centurylink, and Sonatus. Over 30 years of tech experience defining, developing, managing, launching, marketing, and selling a wide range of innovative, customer-centric tech solutions and services for Enterprise, SMB, Consumer, and Service Provider customers globally.

Troy Trenchard

Chief Product Officer

Josh Fuhs

Software Engineer

Former VP of Business Development for Texas Memory Systems, where he developed a comprehensive marketing and channel program which enabled one of the innovators in the solid state storage industry to double revenue in just a few years. Developing technical marketing collateral to facilitate AirMettleâ€™s growth.

Neal Ekker

Business Communication