Time to Tailor Your Schedule for Geode Summit – This Weds, March 9th

geodesummit

We’ve just put the final touches on the schedule for Geode Summit. It’s going to be an amazing day with over 100 users and developers of Apache Geode (incubating) meeting for the very first time. We’ll be sharing expertise, networking for jobs, hearing about use cases, solution architectures, future feature designs, and conducting hands-on training.

There are two concurrent tracks running most of the day, some of which have limited space, and some of which can be attended virtually if you aren’t able to be in Palo Alto on March 9.  All the sessions, other than the hands-on lab, are being recorded so you can view them later.

If you haven’t registered yet, there’s still a little space.

There are three main types of sessions at Geode Summit:

Keynotes, Solutions, and Use Cases

This is the main track, available for all attendees, and especially suitable for technology mangers and solution architects.  Here you’ll have a chance to hear what people have done with Geode and GemFire in the past, and get some new ideas of what you can build.

Technology training

This is a 2 hour hands-on training class in the morning for developers who are new to using Apache Geode and GemFire and would like a quick introduction. Space is limited, so be sure to register and add this to your schedule if you want to participate.

Note that Participants must bring their own laptop with the following minimum configuration: Windows/Mac/Linux OS with minimum 8GB RAM Multi-core processor is highly recommended Lab environment and files will require roughly 500MB of space Have Virtual Box installed (we will deliver the environment as a VM with components installed and ready to go)

Contributor Feature Discussions

These are 30 minute deep dives into early / nascent features of Apache Geode.  An Apache Geode Committer will head a short discussion about the current capability of a feature, and then ask for ideas and use cases about how this feature could be used.  The purpose is to help inform the future direction of specific Geode capabilities.

These sessions are streamed virtually for the benefit of the Apache Geode community. You can log in here to participate: https://pivotalcommunity.adobeconnect.com/clubhouse/

Specifically these session, and their broadcast times are:

See you either in person, or virtually at Geode Summit!

Two Reasons Why In-Memory Data Grids Are A Must-Have For Apps at Scale

Cross posted from The Pivotal POV Blog…

sfeatured-IMDG

Pivotal is proud to announce that Pivotal GemFire was cited as a leader in newly published the Forrester Wave™: In-Memory Data Grids, Q3 2015 report from Forrester Research. The report evaluated the respective in-memory solutions against 32 criteria in three high-level buckets of current offering, strategy, and market presence. GemFire was cited among the second-highest in the strategy category. Forrester provides the following comments about GemFire: [Read more…]

Apache Geode Update

Cross posted from The Pivotal POV Blog…

It’s been a fsfeatured-geodeew months since Project Geode, the open source core of Pivotal Gemfire, was announced. Since then, the Apache Software Foundation accepted Pivotal’s proposal to incubate Geode as a collaborative development project, and we’ve successfully moved all the project interaction onto the Apache infrastructure. You now have the opportunity to support the powerful Geode technology, which powers commercial high scale banking applications, Internet of Things in-memory analytics, and scale-out digital customer experience infrastructure, such as servicing digital ticket purchases for the largest human migration in the world during Chinese New Year.

Here’s where you can find the Apache Geode project, get hold of the software, and interact with the community:

[Read more…]

Become A Founding Contributor of “Project” Geode

Cross posted from The Pivotal POV Blog…

featured-project-geode-250x250Today, Pivotal announced the creation of “Geode”, the new in-memory distributed database that will form the open source core of Pivotal GemFire.

It is my pleasure to announce the really fun part of this: the beginning of “Project Geode” – the community of users of and contributors to the Geode technology.

As part of this announcement, we stated that Pivotal has submitted a proposal to The Apache Software Foundation (ASF) to establish and incubate Project Geode through collaborative development.

[Read more…]

Pivotal Releases GemFire 8.1 With Updates and New Features

Cross posted from The Pivotal POV Blog…

cubes

Pivotal GemFire 8 was the first major release of the in-memory distributed database since it joined Pivotal’s portfolio of products. Today, we’re announcing the release of Pivotal GemFire 8.1. Part of the Pivotal Big Data Suite, Pivotal GemFire enables developers to deploy their big data NoSQL apps upon a massive scale. In addition to incremental product improvements, 8.1 enhances GemFire’s availability and resilience within a distributed system, and improves upon its management and monitoring features.

Allowing High Availability, Resilience, and Global Scale

[Read more…]

GemFire XD 1.4 Now Available for Download

Cross posted from The Pivotal POV Blog…

GemXD

The latest release of GemFire XD, version 1.4 is now available for download. its biggest improvements include single hop inserts for 50% faster performance, and support for JSON document objects in SQL tables. This makes GemFire XD even better for write-intensive use cases, such as high-speed ingest. Also, now we can support use cases that need more schema flexibility to the otherwise well-defined relational structure of GemFire XD.

[Read more…]

Announcing the New Version of GemFire XD and SQLFire: Pivotal GemFire XD 1.3

Cross posted from my blog at Pivotal POV…

 

 

The newest versions of SQLFire and GemFire XD are one and the same: Pivotal GemFire XD version 1.3. What were previously two separate products are now merged, so current licensees of either product are entitled to upgrade to the new version.

[Read more…]

What’s New in Pivotal GemFire 8

Reposted from Pivotal POV….

featured-gemfire-8

On September 23, 2014 Pivotal announced the release of Pivotal GemFire 8, part of Pivotal Big Data Suite. This is the first major release of GemFire since it became part of the Pivotal portfolio.

Born from the experience of working with over 3000 of the largest in-memory data grid projects out there, including China Railways, GIRE, and Southwest Airlines, and  we’ve invested more into the needs of the most demanding enterprises: more scale, more resilience, and more developer APIs.

This release is a significant enhancement for developers looking to take their big data NoSQL apps to massive scale. For the complete technical details, you can check out the new datasheet, and official product documentation.

Here’s what’s new, sorted by the 5 areas that GemFire does best in the industry:

Providing Scale Out Performance

This is why most of Pivotal’s customers begin looking at GemFire in the first place—because they can’t make traditional RDBMS’s scale with the number of concurrent transactions and data they need to manage.

Pivotal GemFire manages data in-memory distributed across multiple systems on commodity hardware—100’s of nodes if you like—in a shared-nothing architecture.  So there’s plenty of compute and memory to host all your data to get real-time response.

WHAT’S NEW

We’ve added in-memory compression, effectively giving each node the capacity to hold up to 50% more data. Compression is achieved through Snappy, a speed-optimized algorithm, although the compression codec is replaceable to whatever algorithm you want to use.

Maintaining Consistent Database Operations Across Globally Distributed Nodes

[Read more…]