Why Edge Computing Is Here to Stay: Five Use Cases

Data loses its value when it can’t be analyzed fast enough. Edge computing and analytics can solve the challenge for enterprises ranging from oil and gas production to banks and retailers. Security cameras, phones, machine sensors, thermostats, cars and televisions are just a few of the items in daily use that create data that can […] Read More

Ryft ONE edge computing engine unveiled

Big data processing speed is being optimized through hybrid computing, which uses an x86 chip on the frontend with an underling FPGA fabric. Ryft today unveiled Ryft ONE, a single, open 1U platform at Strata. The company said it can slash operational costs by replacing hundreds of high-end servers and analyzing both historical and streaming […] Read More

Hybrid approach to big data solves a processing speed quandary

X86 cluster computing has been a processing workhorse for big data. It has the ability to scale; it is an economical alternative; it is a familiar platform; and it is likely to maintain a major big data processing role, especially for myriad big data Hadoop applications that are run in batch mode and that don’t […] Read More

In Big Data, Mean Time is Money

To begin to unlock the true value of their data and reduce Mean Time to Decision (MTTD), organizations need to eliminate their big delays—and that means new approaches to Big Data analysis and entirely new processing architectures. Here, RTInsights contributor Patrick McGarry explains why investing in platforms based on FPGA technologies will be critical to […] Read More

Can FPGA-accelerated Systems Eliminate x86 Bottlenecks and Speed Value From Data?

Big data was once the domain of big iron and big brand frameworks, but in recent years, data processing has relied on x86-based server farms based on CPU-driven architectures. Yet when it comes to real-time performance, these systems just don’t hold up. Von Neumann computing architectures – most commonly seen in x86 systems – are […] Read More

With the Altera deal done, what’s Intel’s FPGA strategy?

Custom accelerators like FPGAs are good in parallel processing scenarios when one task needs to be repeated over and over, like search or pattern matching. That’s why search engines like Bing use FPGAs, and a company called Ryft has an FPGA-based Big Data machine it claims is up to 200 times faster than a Xeon. […] Read More

What’s Ahead in 2015 – 10 Emerging Companies to Watch

New and emerging companies are taking aim at data management challenges to help customers get more value from their data. Here, DBTA showcases the approaches of 10 companies we think are worth watching. Ryft offers Ryft ONE, a commercial 1U platform that is designed to enable faster business insights by simultaneously analyzing up to 48TB […] Read More

Ryft unveils Open API Library

Ryft announced its Open API Library is now generally available. The invoke or extend front-end for integrating Ryft ONE hardware-driven acceleration into existing environments and algorithms contains a growing set of primitives — such as exact search, fuzzy search and term frequency — and support for high-level programming languages. “The era of painful tradeoffs in […] Read More


Ryft, a big data platform provider, recently announced a new data analytics Open API Library. The API enables seamless integration with Ryft’s flagship high-performance data analysis platform, Ryft ONE. Post-integration, big data environments enjoy faster data analysis and real-time intelligence, the company says. The open strategy, flexibility, speed and simplicity that the new offering presents […] Read More

Ryft Open API Library Extends Lightning-Fast Batch and Streaming Analysis to Existing Big Data Environments

According to a recent article, “Ryft announced today the availability of the Ryft Open API Library, expanding the company’s Ryft ONE high-performance data analysis capabilities into existing big data environments. Developers can now invoke or extend the Ryft Open API to add hardware-driven acceleration to applications that demand real-time intelligence from all types of batch […] Read More