Information and Insights on In-Memory Computing
Wednesday, September 21, 2016
The GridGain Enterprise Edition, based on Apache® Ignite™, is now available on the Microsoft Azure Marketplace. The GridGain in-memory computing platform dramatically accelerates and scales out existing data-intensive applications without ripping and replacing existing databases. GridGain enables unlimited scalability and tremendous speed. Query times are up to 1,000,000x faster than disk-based systems.
Friday, September 16, 2016
I have been attending (and speaking) at the annual Apache® Cassandra™ Summit for 4 years, but this was my first time as a sponsor on the Expo floor. My time in the Cassandra ecosystem has proven to be a powerful lesson in how fast open source communities can grow and evolve. In 2013, there were less than 1,000 attendees. By 2015, over 3,500 were at last year’s Summit. This year, the event was at the massive San Jose Convention Center, rarefied air for a database that is younger than my home computer (!), and shows the momentum in this community.
Tuesday, September 6, 2016
”Apache Spark™ and Apache Ignite™ for Fast Data” Webinar on September 7, 2016 Apache Spark and Apache Ignite are two of the most popular open source projects in the area of high-performance Big Data and Fast Data. Both technologies are in-memory computing solutions to Big Data challenges but they target different use cases and, in many instances, are complementary.
Tuesday, August 9, 2016
About 2 months ago I joined GridGain Systems and was introduced to Apache Ignite. At my very first meetup last month in New York, someone challenged me on the subject of how Ignite could guarantee ACID level consistency if Ignite was a highly available distributed system. I was familiar with CAP Theorem from my work with Apache Cassandra, but for the first time in my otherwise data warehouse heavy career, I was having to stare ACID concepts right in the face.
Monday, August 1, 2016
In-Memory Computing enables processing up to 1,000,000x faster than with disk-based storage and scalability to hundreds of TBs by adding commodity nodes to the cluster. It is characterized by using high-performance, integrated and distributed memory systems to compute and transact on large-scale data sets in real-time. The GridGain In-Memory Data Fabric for .NET delivers outstanding performance for a wide set of in-memory computing use cases on top of the .NET platform. Use cases include high performance computing, CEP, and data streaming.
Tuesday, July 19, 2016
One of the biggest drivers of the explosion of data in the financial services sector, along with the need to process that data at ever-faster speeds, is the requirement to comply with the many government regulations that have been imposed since the global financial crisis of 2008-09.
Monday, June 20, 2016
This week I was excited to finally attend QCon NY after having read so many tweets from the event in the past years. I had expected the majority of attendees to be startups, so I was surprised to see many established companies at the event. The conference was divided into several tracks over the course of three days. Of these tracks, the microservices and containers tracks seemed to be the most popular. Many of these sessions were standing room only.
Tuesday, June 14, 2016
GridGain recently won two more awards to add to it’s growing list of accolades.
Friday, June 10, 2016
There is no doubt that Spark is one of the hottest (pun intended) technologies available to data engineers today. And the buzz on the exhibitor floor at the Hilton San Francisco for this year's Spark Summit did not disappoint. All the major players who supply software and hardware tools for next generation app development were present and accounted for, including some intriguing new players to the market.
Tuesday, May 31, 2016
The Internet of Things (IoT) is one of the most exciting and significant technology revolutions in the world today. Though there are countless IoT systems in operation at fledgling start ups and established corporations alike, most experts agree the industry is still in its infancy. It is estimated that by 2020 there will be over 30 billion devices wirelessly connected to the Internet.
Tuesday, May 17, 2016
Roman Shtykh, R&D Engineer at CyberAgent, Inc., will present one of over 30 deep-dive presentations at the In-Memory Computing Summit on May 23-24 in San Francisco. (A limited number of seats are still available to the event. Register today to attend at http://imcsummit.org).
Friday, May 13, 2016
When I arrived at IoT World on Wednesday morning, I got my badge, went onto the expo floor and got a cup of coffee to pierce the morning fog. It was still early, the only people milling around were expo vendors putting the final touches on booths. I started a slow stroll looking for our booth. I kept finding new areas: Startup land with chain link fences (I kid you not), futuristic cars sitting smack in the middle of the floor, and so, so many vendors pitching everything under the sun in wearables.
Thursday, May 12, 2016
Robert Barr, VP Data Grid Engineering Lead at Barclays, will present a keynote presentation titled “In Memory Computing for Financial Services: Past, Present and Future” at the In-Memory Computing Summit on May 23-24 in San Francisco. (A limited number of seats are still available to the event. Register today to attend at http://imcsummit.org).
Wednesday, May 11, 2016
Transaction deadlocks are a serious impediment to the performance of big data/fast data systems. Such problems are very difficult to spot and are even harder to debug. In production, they require a full cluster restart, leading to costly system down times.
Thursday, April 21, 2016
This is GridGain’s first year exhibiting at Percona Live. Despite the fact that this is a heavily database-oriented conference and audience, I found it to be both refreshing and interesting to meet new people and introduce them to the world of in-memory computing, Apache Ignite and GridGain. Very few of the people we've talked to had a lot of experience with in-memory computing - and understandably so. The database world tends to be conservative and heavily SQL oriented. It was great to introduce a lot of new people to the concept of in-memory computing.