In-Memory Computing Planet® Blogs and Events

IMC Planet presents in-memory computing blogs and events from around the world. Read the latest in-memory computing news here. Submit your RSS feed or post your upcoming events and help the in-memory computing community stay up to date on the latest developments.

Jun
16
2020
Posted by The MemSQL Blog

Gaming has gone from a niche activity to an entire industry focused on delivering real-time digital experiences. Gameloft, an award-winning developer and publisher of mobile and console games, has used MemSQL to extract actionable insights in real time from more than 100TB of raw data.  According to Juniper Research, the gaming industry will touch $132 billion in total revenue by 2021 – well ahead of Hollywood. It is a fiercely competitive business, where every game developer’s dream is to shoot to the top of the charts.  Gameloft, as a French-based leading publisher and developer of mobile and console games, has …

The post Powering Gameloft with MemSQL appeared first on MemSQL Blog.

 
Jun
16
2020
Posted by GridGain Systems Blog

Hadoop Data Lakes are an excellent choice for analytics and reporting at scale. Hadoop scales horizontally and cost-effectively and performs long-running operations spanning big data sets. GridGain, in its turn, enables real-time analytics across operational and historical data silos by offloading Hadoop for those operations that need to be completed in a matter of seconds or milliseconds.

 
Jun
16
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Note: This post is part 2 of 2 on edge-to-cloud. You can read part 1 here.  Inside the Gateway: Edge-to-Cloud Stage 1 The edge-to-cloud pipeline begins inside the gateway, where two key tasks have to be performed: Data from sensors and devices must be captured in its raw form Sensor and device data must be […]

The post Distributed Systems Covering Edge-to-Cloud (Part 2) appeared first on Hazelcast.

 
Jun
15
2020
Posted by ScaleOut Software Blog

Maintain and aggregate dynamic information for thousands of data sources.   When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and […]

The post Using Real-Time Digital Twins for Aggregate Analytics appeared first on ScaleOut Software.

 
Jun
15
2020
Posted by The ScaleOut Software Blog

Maintain and aggregate dynamic information for thousands of data sources.   When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and […]

The post Using Real-Time Digital Twins for Aggregate Analytics appeared first on ScaleOut Software.

 
Jun
10
2020
Posted by The MemSQL Blog

HTAP, or hybrid transaction/analytics processing, combines transactions, such as updating a database, with analytics, such as finding likely sales prospects. An HTAP database supports both workloads in one database, providing speed and simplicity. Use cases include fraud prevention, recommendation engines for e-commerce, smart power grids, and AI.  HTAP databases work with – and, to a certain degree, are designed for – integration with streaming data sources, such as Kafka, and messaging systems used for advanced analytics, AI and machine learning such as Spark. They serve multiple analytics clients, from business analysts typing in SQL queries, to BI tools, apps, and …

The post What is HTAP? appeared first on MemSQL Blog.

 
Jun
10
2020
Posted by The Hazelcast In-Memory Data Grid Blog

This post was written by Hazelcast software engineer Marko Topolnik and posted at https://jet-start.sh/blog/2020/06/09/jdk-gc-benchmarks-part1. The Java runtime has been evolving more rapidly in recent years and, after 15 years, we finally got a new default garbage collector: the G1. Two more GCs are on their way to production and are available as experimental features: Oracle’s […]

The post Performance of Modern Java on Data-Heavy Workloads (Part 1) appeared first on Hazelcast.

 
Jun
10
2020
Posted by The MemSQL Blog

MemSQL is powering in-the-moment analytics for True Digital Group’s COVID-19 tracking in Thailand, as described in this press release, published today. Also see our case study. MemSQL Powers True Digital Group’s Effort to Flatten the Curve of COVID-19 Partnership Aims to Save Lives Through Proactive Insights on Streaming and Geospatial Data SAN FRANCISCO – June 10, 2020 – MemSQL, the Database of Now™ for operational analytics and cloud-native applications, announced today that it is enabling in-the-moment analytics for a contact tracing app from True Digital Group Co., Ltd. (True Digital Group), the digital arm of True Corporation Public Company Limited, …

The post MemSQL Powers True Digital Group’s Effort to Flatten the Curve of COVID-19 appeared first on MemSQL Blog.

 
Jun
09
2020
Posted by The MemSQL Blog

MemSQL has now released a new version of the Apache Spark Connector – Version 3.0 – which includes many new enhancements. The new Connector supports robust SQL pushdown, is compatible with the latest versions of Spark and the MemSQL engine, contains tight integration with Spark’s widely used DataSource API, and provides flexible load data compression options to expedite data ingest. Read on to learn more about the enhancements of the connector,  and how you can accelerate your workload using Apache Spark and MemSQL together. Introduction Apache Spark is widely known as a leading technology for big data and AI. If …

The post MemSQL Introduces New Spark Connector 3.0 appeared first on MemSQL Blog.

 
Jun
09
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Introduction: A Personal Anecdote When I was in college, I took an upper-level course in analytical chemistry. Several of the lab modules required my lab partner and me to make a pilgrimage deep into the bowels of the building to use the department’s gas chromatograph. Now, gas chromatography (GC) machines are complex and expensive pieces […]

The post Distributed Systems Covering Edge-to-Cloud (Part 1) appeared first on Hazelcast.

 
Jun
08
2020
Posted by ODBMS.org
“There are an enormous amount of applications that we can provide. Just to mention a view of them: Scanning literature and patents for genes, proteins, targets and drugs. Finding information in clinical trials, which drugs are used and what inclusion/exclusion criteria exist. Automatically finding and querying genes with their synonyms and connected gene function and […]
 
Jun
08
2020
Posted by The MemSQL Blog

In this Forbes article, Nikita Shamgunov, MemSQL co-CEO and co-founder, talks about the incredible potential of data, which he explains has the superpower to enable us to do things that were previously not possible. He adds that once datasets get really big, you need data storage that is vast and essentially bottomless. Nikita emphasizes the importance of having a data strategy that provides 360-degree visibility; has a champion in the form of a chief data officer (CDO); and addresses artificial intelligence, data management, and the user experience.

The post Why We Need Management and Scalability to Benefit from the Power of Data appeared first on MemSQL Blog.

 
Jun
03
2020
Posted by GridGain Systems Blog

Apache Ignite can scale horizontally to accommodate the data that your applications and services generate. If your in-memory cluster is about to run out of memory space, you can take advantage of horizontal scaling, which is one of Ignite’s foundational architectural capabilities. The “throw more resources into the cluster” approach is an often-heard piece of advice. However, in practice, most of us cannot scale out a cluster in a moment.

 
Jun
03
2020
Posted by The MemSQL Blog

SingleStore, first introduced in the MemSQL 7.0 release, advances quickly in MemSQL 7.1. SingleStore allows MemSQL to support the world’s largest workloads – as well as many smaller workloads – far more cost-effectively, and with better performance, than anyone has achieved to date. In this release, new SingleStore features make it even easier to support blended workloads that achieve near-rowstore performance (ie, nearly in-memory performance), but at columnstore (ie, disk-based) costs.  MemSQL SingleStore appeared in MemSQL 7.0, with notable improvements in performance and total cost of ownership (TCO) for both rowstore and columnstore workloads. In MemSQL 7.1, we make further …

The post MemSQL SingleStore, Episode 2 appeared first on MemSQL Blog.

 
May
28
2020
Posted by The MemSQL Blog

With the MemSQL 7.1 release, we’re continuing our journey to a simpler data platform, offering speed, scalability, and SQL – accessible to everyone, and easy to use. The release is available today as downloadable software and at the core of MemSQL Helios, our elastic managed service in the cloud.  Simplicity There is a trend, especially in the cloud, to add a new, specialized data management technology for each separate type of workload. Part of our solution to this is MemSQL SingleStore, which unifies transactions and analytics in a single data table.  With the 7.1 release, we add broader support for …

The post Announcing the Availability of MemSQL 7.1 appeared first on MemSQL Blog.