100X Faster. More Data. Less Center.
Powered by the world’s fastest converged high-speed
network attached storage (NAS) and compute appliance.
The Ryft ONE is the only easy-to-use converged high-speed NAS and compute appliance capable of providing real-time business insights into both historical and streaming data. For the first time, you can conduct the most accurate fuzzy search and matching at the same speed as exact search without spending days or weeks indexing data. And, you’ll have the speed, scalability, simplicity and security you need for real-time intelligence applications like smart retail, fraud prevention, cybersecurity and financial compliance. Years in the making, the Ryft ONE combines two proven innovations in hardware and software to optimize compute, storage and I/O performance:
It eliminates all of the bottlenecks that strangle conventional systems, so you can extract intelligence from data when you need it, wherever you need it. All while replacing hundreds of high-end servers to slash operational costs by 70%.DATA SHEET
Competitive benchmarks prove Ryft outperforms Amazon Web Services’ fastest clusters to speed insights into massive quantities of any type or format of data with no ETL or indexing required. By delivering groundbreaking performance in a small high efficiency 1U appliance, Ryft reduces maintenance and operational costs associated with server maintenance, energy use, rack space, top-of-rack routers and cabling.
*Benchmark comparisons against Apache Spark running on a cluster of AWS EC2 – c3.8xlarge “Compute Optimized” 2U servers that require 1100 Watts each.
As businesses grew tired of costly, proprietary big data analytics products, many shifted towards open solutions built on commodity hardware and open source software. But this shift introduced new levels of cost and complexity to initiatives already struggling to achieve the scale and performance required to keep up with data volume and velocity. The era of painful tradeoffs in big data is over. Ryft’s no-compromises solution doesn’t force buyers to choose between speed and simplicity or other critical objectives. The Ryft ONE open API and Linux front-end allow the Ryft ONE to fit seamlessly into any environment for the flexibility of an open, future-proof appliance with the speed and efficiency of a purpose-built appliance that provides real-time intelligence from all types of batch and streaming data.
The Ryft ONE enables you to power a range of real-time intelligence applications and complex searches. You can easily create applications for your specific use case to take advantage of both batch and streaming data, lower operating costs, increased revenue opportunities and better service quality. The Ryft ONE delivers instant insights into diverse data sets at the edge, in the data center and in the cloud for:
LOAD HISTORICAL DATA AND CONNECT STREAMING DATA FEEDS
INSERT RYFT ALGORITHMIC PRIMITIVES INTO YOUR ANALYTICS APPLICATION
QUERY & VISUALIZE RESULTS ORDERS OF MAGNITUDE FASTER
“The new Ryft ONE platform is a scalable 1U device that addresses a major need in the fast-growing market for advanced analytics—avoiding I/O bottlenecks that can seriously impede analytics performance on today’s hyperscale cluster systems. The Ryft ONE platform is designed for easy integration into existing cluster and other server environments, where it functions as a dedicated, high-performance analytics engine. IDC believes that the new Ryft ONE platform is well positioned to exploit the rapid growth we predict for the high-performance data analysis market.” —Steve Conway, International Data Corporation
“Traditional information systems will obviously benefit from Ryft ONE, but for the data center of the future, solutions like Ryft ONE will be a necessity. With edge computing real-time decision making is a reality. Putting analytical processing directly onto the IoT network ensures that the data becomes actionable as its generated. Because Ryft ONE can sit on such a network, swiftly ingesting and processing streaming data, it is eminently suited to such a role. Indeed, it is hard to imagine any other technology delivering such low latency.” —Robin Bloor, The Bloor Group
Reduce maintenance and operational costs by cutting traditional server maintenance, energy use, rack space, top-of-rack routers and cabling.
*Benchmark tests using server instances on Amazon Web Services. Floor and electric estimates determined using a colocation data center pricing calculator: http://www.thecloudcalculator.com/calculators/build-vs-buy.html. Average price per U.S. KW/hour in 2012 was $0.12.
Reduce infrastructure maintenance and operational costs by slashing energy, rack space, top-of-rack routers and cable infrastructure requirements. Get over 40 times cost savings on floor space, power and cooling.