Archive
November 2016

MySQL® is a widely used open source RDBMS which powers many of the world's leading online applications and internal corporate systems. Apache® Ignite™ is an open source in-memory computing platform that dramatically speeds up RDBMS-based applications. Apache Ignite is inserted between existing database (RDBMS, NoSQL and Hadoop) and application layers and powers 1,000x faster queries compared to…
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On November 17th, one of our European GridGain Systems' consultants visited Madrid to present a paper at Big Data Spain entitled “Better Together: Fast Data with Apache Ignite & Apache Spark”.  The Big Data space has been growing rapidly over the past few years, with disk-based Hadoop systems and then hybrid disk and memory systems such as Apache Spark gaining significant mindshare.  Whilst…
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While most applications use distributed in-memory caching for fast data access, they heavily rely on relational databases for data persistence purposes. For such applications, Apache Ignite supports read-through and write-through modes to read/write the data from/to the underlying persistent store, respectively. Moreover, Ignite can import database schemas and automatically generate all the…
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Join us on Wednesday, November 30, 2016 at 11:00 AM PDT/2:00 PM EDT for a webinar discussing tuning Apache® Ignite™ and GridGain for optimal performance with Valentin Kulichenko, Lead Architect at GridGain Systems. Distributed in-memory computing systems such as Apache Ignite can be used to improve the performance and scalability of data-driven applications. Distributed systems, though, depend…
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When securities prices move, trading firms can make more money the faster they react. High-frequency securities trading is now the norm and financial services firms are incentivized to maximize the performance of their high-frequency trading infrastructure. Performance plays a critical role in each basic step of high-frequency securities trading, including obtaining market information, processing…
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I am pleased to announce the launch of the In-Memory Computing Planet (IMCPlanet.org) website. IMCPlanet is a moderated community portal that encourages information sharing among in-memory computing community members. The IMCPlanet.org website consolidates in-memory computing blogs and events from around the world, providing the in-memory computing community with a centralized location where they…
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Banks and other financial services firms face a slow economic recovery, pessimistic economic forecasts worldwide, demands to improve their balance sheets, and more. As a result, banks are cutting costs, restructuring, optimizing business lines, and exiting less profitable activities – all while under pressure to satisfy new compliance regulations designed to protect against another economic…
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After attending the European Spark Summit I felt the need to share a few words summarizing my experience and perception of it, which hopefully can provide insight to those who were not able to attend, or attended and want a vendor’s perspective of it.  As with every Spark Summit in the recent years, as well as the huge influx of data science and big data, it is really challenging to pick…
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In-memory computing solutions boost performance as a result of their key-value based architecture. However, both application and business needs require flexible SQL support. Many in-memory data grid (IMDG) solutions invent their own query engines or provide limited SQL support. Neither of these approaches meet real world needs. During this webinar, we will provide an overview of how typical IMDGs…
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Almost any In-Memory Data Grid (IMDG) solution available can be used as-is without an underlying persistent storage layer. Based on my experience, there are different use cases and real production scenarios when the entire data set is fully located in an IMDG and it is not synced to disk at all. However, in a variety of deployments, companies still prefer to keep data both in memory and on disk.…
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