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The Past and Future of In-Memory Computing
When Nikita Ivanov co-founded GridGain Systems back in 2005, he envisioned in-memory computing going mainstream and becoming a massive category unto itself within a few years. That obviously didn’t pan out, but on the Read more…
Big Data Speaks: 10 Industry Predictions for 2017
What will happen in big data and advanced analytics next year? Nobody really knows. While crystal balls are generally unreliable indicators of future events, it's never stopped us from trying to see into the future anywa Read more…
ScaleOut Pushes the Bottleneck in Latest IMDG Update
Each computer architecture, by definition, has a bottleneck that prevents it from performing faster. With the latest release of its in-memory data grid (IMDG) for performing data-parallel analytics, ScaleOut Software has Read more…
Streaming Analytics Ready for Prime Time, Forrester Says
Analytic platforms that generate insights from data in real time are mature enough for enterprises to begin adopting them, Forrester says in its latest report. While open source streaming analytic products like Apache St Read more…
In-Memory Computing Is the Key to Real-Time Analytics
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Real-time analytics offers enterprises the ability to examine “live,” fast-changing data within operational systems and obtain feedback in milliseconds to seconds. For example, a hedge fund in a financial services organization can track the effect of market fluctuations on its portfolios (“strategies”) of long and short equity positions in various market areas (high tech, real estate, etc.) and immediately identify strategies requiring rebalancing. Read more…
Accelerating Hadoop MapReduce Using an In-Memory Data Grid
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Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on live, operational data. This dramatically shortens analysis time by 20x from minutes to seconds. Numerous applications now can benefit from real-time MapReduce. Read more…
How In-Memory Data Grids Can Analyze Fast-Changing Data in Real-Time
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The ability to continuously analyze operational data unlocks the potential for organizations to extract important patterns. Popular big data systems are not well suited for this challenge. However, in-memory data grid technology (IMDGs) offers important breakthroughs that enable real-time analysis of operational data. Benchmarks have demonstrated that an IMDG can complete map/reduce analyses every four seconds across a changing, terabyte data set. This article discusses how IMDGs deliver this new capability to analyze fast-changing, operational data. Read more…
Accelerating Hadoop MapReduce Using an In-Memory Data Grid
Sponsored Content
Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on live, operational data. This dramatically shortens analysis time by 20x from minutes to seconds. Numerous applications now can benefit from real-time MapReduce. Read more…
ScaleOut Ships Its Own MapReducer for Hadoop
In the world of big data analytics, vendors of all stripes are angling to improve upon Hadoop. For many, this means bypassing the batch-based framework and enabling Hadoop to work in a real-time manner, which opens the door to many new uses for Hadoop. This is also what ScaleOut Software is attempting to do with hServer, an in-memory data grid for Hadoop MapReduce that it first launched in June. Read more…
ScaleOut Building Real-Time Bridge to Hadoop with hServer
The real-time operational world can benefit from Hadoop’s power to analyze large data sets in parallel, says in-memory data grid company, ScaleOut Software, who today launched a new platform called hServer that the company says bridges real-time analytics with Hadoop. Read more…
This Just In
May 14, 2024 |
BELLEVUE, Wash., May 14, 2024 — ScaleOut Software today introduced Version 3 of its ScaleOut Digital Twins cloud service and on-premises hosting platform. The latest release introduces a cutting-edge user interface designed to streamline the deployment and management of digital twins. Read more…
Jun 21, 2023 |
BELLEVUE, Wash., June 21, 2023 — ScaleOut Software has announced that its product suite now includes Google Cloud support. Applications running in Google Cloud can take advantage of ScaleOut’s industry leading distributed cache and in-memory computing platform to scale their performance and run fast, data-parallel analysis on dynamic business data.
Read more…
Feb 21, 2023 |
BELLEVUE, Wash., Feb. 21, 2023 — ScaleOut Software today announced new device modeling and simulation capabilities for its ScaleOut Digital Twin Streaming Service. These capabilities extend the service’s ability to perform real-time analytics at scale using digital twins to track devices and other real-world data sources. Read more…
Jul 27, 2020 |
BELLEVUE, Wash, July 27, 2020 – ScaleOut Software announced ScaleOut StateServer Pro, a new software product release that adds integrated data analytics to the company’s ScaleOut StateServer in-memory data grid (IMDG) and distributed cache to help businesses gain more value from their fast-changing data. Read more…
May 19, 2020 |
BELLEVUE, Wash., May 19, 2020 – ScaleOut Software announced the general availability of its Digital Twin Streaming Service, a breakthrough SaaS solution harnessing in-memory cloud computing to provide real-time analytics. Read more…
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