Next Meetup

Memory-Centric Architectures; Persistent Memory; Future of In-Memory Databases
Join us November 29 in Manhattan for a wintery mix of in-memory computing merriment! We’ll have hot food to warm your bodies and festive beverages to imbibe that will put you in the mood for three insightful talks on distributed systems. This meetup, as always, is free thanks to the sponsor, GridGain Systems. We’ll be raffling off some cool gear (register for the raffle here: ) 1st prize: Apple Watch Series 3 (with GPS)!!! 2nd prize: Seinfeld Happy Festivus Board Game!! 3rd prize: "The Human Fund" Gift Notification Cards! The meetup will run from 6-8 p.m. at 1740 Broadway #15 Floor (15th floor) in NYC. Speaker lineup: * Doug Hood, Oracle TimesTen Scaleout evangelist, * Akmal Chaudhri, Apache Ignite & GridGain Systems technology evangelist * Rajiv Shah, director of solution architecture at GigaSpaces. AGENDA: * 6 p.m. – Food and drinks * 6:10 p.m. -- Talk 1 (Doug): "Persistent Memory and the Future of In-Memory Databases" * 6:45 p.m. -- Talk 2 (Akmal): "Memory-Centric Architecture - A New Approach to Distributed Systems" * 7: 25 -- Talk 3 (Rajiv) (Talk title coming soon) * 8 p.m. Raffle drawings (register here: ) * 8:05 p.m. Finis! Talk 1: (Doug) As byte addressable persistent memory will soon be available, how should In-Memory Databases best use this technology? Oracle TimesTen In-Memory Database was the first commercial In-Memory Database (1998). Given Oracle's 20 years of experience with In-Memory Databases, what are their thoughts on Persistent Memory? See demos of TimesTen In-Memory Database using multiple TB of Persistent Memory. Talk 2: (Akmal) In this presentation, attendees will learn how to achieve the best performance and scale with the new memory-centric approach to distributed architectures. The presentation will review traditional in-memory and disk-based systems, compare their strengths and weaknesses, cover features such as ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more. Additionally, the presentation will cover some of the most common use cases for distributed computing and analyze some large Apache Ignite and GridGain deployments. Finally, attendees will learn how to build the most effective and scalable systems by borrowing the best of two worlds - disk-first and memory-first approaches. Talk 3: (Rajiv) details coming soon Please RSVP to this meetup to help us ensure we have enough food and drinks for all. We also need it for the security desk to speed up the entry process to the building. And don’t forget to also register for the raffle! You can do that here:

Spaces - 1740 Broadway, New York

1740 Broadway #15 Floor · New York, ny

What we're about

This group is for in-memory computing (IMC) users and those using, or interested in, IMC-related technologies and solutions. This meetup was designed for technical decision-makers, implementers and developers who work with in-memory computing, distributed computing, Big Data, Fast Data, IoT, HPC and FinTech solutions.

We're about database architects, software developers, Java enthusiasts, data scientists, CTOs, CEOs and everyone else interested in this field of data science. In-memory computing is designed to allow a huge number of users to process an unlimited amount of data. In other words, it’s designed for speed and scale. How does in-memory computing work? In-memory computing uses memory as the primary method of storing data. It leverages two key technologies: random-access memory (RAM) storage and parallelization.

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