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Ryft Announces Big Data Analytics Platform Capable of 10+ GB/Sec Performance

ryft_logoRyft today unveiled the Ryft ONE, a new commercial 1U platform capable of providing fast and actionable business insights by simultaneously analyzing up to 48 terabytes of historical and streaming data at an unprecedented 10 Gigabytes/second or faster. Powered by the Ryft Analytics Cortex™, a new massively parallel, hardware-accelerated architecture, the Ryft ONE enables data scientists and business analysts to extract intelligence from data in real-time, replacing hundreds of high-end servers and slashing operational costs by 70%. A single Ryft ONE, using less power than a hair dryer, can store and analyze the equivalent of the contents of Wikipedia in 4.5 seconds without any data indexing, pre-processing, tuning, or partitioning.

You can’t squeeze the real-time insights you need to run your business from solutions built on decades-old hardware architectures. The performance required to unlock the value of big data demands a new type of architecture that optimizes compute, storage and IO,” said Des Wilson, CEO of Ryft. “The Ryft ONE will shift the market from legacy x86 architectures to a platform purpose-built for real-time analysis. That’s because the Ryft ONE is open and compact like a Linux server but executes like a high performance computer – beating the performance of hundreds of conventional servers at a fraction of the cost ”

About the Ryft ONE

Years in the making, the Ryft ONE combines breakthroughs in both hardware and software to boost big data analysis with the:

  • Ryft Analytics Cortex (RAC) – Massively parallel, hardware-accelerated compute architecture that speeds historical and streaming data analytics to speeds of 10 Gigabytes/second and faster.
  • Ryft Algorithm Primitives (RAP) Library – Expanding collection of pre-built algorithm components such as search, term frequency, and fuzzy search that accelerate the development and execution of applications.
  • Linux Front-end and Open API: Compliant with open standards to work with a wide range of visualization, scheduling, performance monitoring, and systems management tools. Supports popular programming languages such as C/C++, Java, R, Python, and others.
  • Encrypted Data Set Mining:  Analyzes SSL encrypted data without added latency to protect sensitive data without sacrificing performance.

Performance Benchmarking

Benchmark tests conducted in early 2015 against the highest-performing in-memory solutions showed a single Ryft ONE outperformed large Spark clusters of 100 to 200 nodes, at a 70% operational savings. Performance benchmarks for Term Frequency, Exact Search and Fuzzy Search are provided at 

Ryft ONE Availability and Resources

The Ryft ONE will be available in early Q2 2015 as a hosted or on-premises solution.


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