Meetups & Events

How to Share State Across Multiple Spark Jobs using Apache® Ignite™ 

Spark Summit Europe 2017, Speaker - Akmal Chaudhri

October 25, 2017

Attend this session to learn how to easily share state in-memory across multiple Spark jobs, either within the same application or between different Spark applications using an implementation of the Spark RDD abstraction provided in Apache Ignite. During the talk, attendees will learn in detail how IgniteRDD – an implementation of native Spark RDD and DataFrame APIs – shares the state of the RDD across other Spark jobs, applications and workers. Examples will show how IgniteRDD, with its advanced in-memory indexing capabilities, allows execution of SQL queries many times faster than native Spark RDDs or Data Frames.

 

Powering up banks and financial institutions with distributed systems 

Big Data Week London 2017, Speaker - Akmal Chaudhri

October 13, 2017

In this presentation, attendees will learn about important Apache Ignite features for financial applications, such as ACID compliance, SQL compatibility, persistence, replication, security, fault tolerance and more.

A customer case study will also be presented. We will analyze one of the largest Apache Ignite deployments in the world at Sberbank, a Russian and Eastern European Bank, by walking through the overall architecture and demonstrating various implementation and deployment challenges.

 

Real-time Data Analysis with Apache Ignite High-Performance In-memory Platform 

Data Platform Conference Tokyo 2017, Speaker - Roman Shtykh

October 10, 2017

With the advances in IoT technology, the volume and the diversity of data to be analyzed has enormously increased, and processing it with traditional disk-based technology has become more challenging. Therefore the number of data analysis solutions using in-memory technology, such as Apache Ignite high-performance in-memory platform, has increased.

In this session, Roman will introduce Apache Ignite, and explain how it can be used for real-time analysis of large volumes of IoT data.

 

Postgres with Apache® Ignite™: Faster Transactions and Analytics 

Webinar, Fotios Filacouris

October 4, 2017

Join Fotios Filacouris as he discusses how you can supplement PostgreSQL with Apache Ignite. You'll learn:

  • The strategic benefits of using Apache Ignite instead of Memcache, Redis®, GigaSpaces®, or Oracle Coherence™
  • How to overcome the limitations of the PostgreSQL architecture for big data analytics by leveraging the parallel distributed computing and ANSI SQL-99 capabilities of Apache Ignite
  • How to use Apache Ignite as an advanced high-performance cache platform for hot data

 

Stateful Apps in Production and Distributed Database Orchestration 

New York Kubernetes Meetup, Speaker - Akmal Chaudhri

September 27, 2017

This talk will focus on a DevOps perspective on the orchestration of distributed databases, Apache Ignite. Denis will speak on node auto-discovery, automated horizontal scalability, availability and utilization of RAM and disk with Apache Ignite.

 

Better Machine Learning with Apache® Ignite™ 

Webinar, Akmal Chaudhri

September 27, 2017

In this presentation, Akmal will discuss how the Compute Grid, Data Grid, and Machine Learning Grid components of Apache Ignite work together to enable your business to start reaping the benefits of machine learning. Through examples, attendees will learn how Apache Ignite can be used for data analysis and be the in-memory hammer in your machine learning toolkit.

 

Powering up banks and financial institutions with distributed systems 

NYC In-Memory Computing Meetup, Speaker - Akmal Chaudhri

September 26, 2017

In this talk, Akmal will start with a brief high-level overview of distributed computing fundamentals and in-memory computing use cases. Then he'll introduce the open-source Apache Ignite, an in-memory computing platform that enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.

 

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT 

Internet of Things (IoT) New York Meetup, Speaker - Akmal Chaudhri

September 25, 2017

Quite often, the processing of the endless streams of data has to be done in real-time so that you can react on the IoT subsystem's state accordingly. In this session, Akmal will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

 

Apache Spark, Apache Flink, and Apache Ignite: Where Fast Data Meets the IoT 

Meetup, San Francisco, CA, Speaker - Denis Magda

September 20, 2017

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Flink.

 

Business Intelligence and Apache Ignite for .NET Users 

Meetup, Cambridge .NET User Group, Speaker - Akmal Chaudhri

September 18, 2017

This presentation will provide a deep dive into .NET features of the top level Apache projects: Apache Ignite. Apache Ignite is the memory-centric platform that combines distributed SQL database and key-value data grid, that is ACID compliant, horizontally scalable and highly available, and empowered with compute and machine learning capabilities.

 

Apache Ignite: The in-memory hammer in your data science toolkit 

Meetup, Mountain View, CA, Speaker - Denis Magda

September 13, 2017

In this talk, Denis will go through some of the main components of Apache Ignite, such as the Compute Grid, Data Grid and the Machine Learning Grid. Through examples, attendees will learn how Apache Ignite can be used for big data analysis.

 

Implementing In-Memory Computing for Financial Services Use Cases with Apache® Ignite™ 

Webinar, Denis Magda

September 12, 2017

In this presentation, Denis will explain features of the Apache Ignite distributed computing platform that are important for financial use cases, including:

  • ACID transaction guarantees
  • Distributed ANSI-99 SQL support
  • Replication
  • Security
  • Fault tolerance
  • Persistence

 

Apache Spark and Apache Ignite: Where Fast Data Meets the IoT 

Meetup, Santa Clara, CA, Speaker - Denis Magda

September 09, 2017

In his talk, Denis will will show attendees how to build a sast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using the cluster resources of Apache Ignite.

 

Deploy like a Boss: Using Kubernetes® and Apache® Ignite™ 

Webinar, Dani Traphagen

August 23, 2017

If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite™ are open source frameworks that work exceedingly well together to achieve these goals.

In this webinar, Dani Traphagen will walk through the basics of a Kubernetes and Apache Ignite deployment, including:

  • Setting up a Apache Ignite cluster
  • Using the Kubernetes IP Finder and the Kubernetes Ignite Lookup Service
  • Sharing the Ignite Cluster Configuration
  • Deploying your Ignite Pods
  • Adjusting the Ignite Cluster Size when you need to scale

 

Introduction to Apache Ignite, a memory-centric distributed platform 

Webinar, Akmal Chaudhri

August 16, 2017

Apache Ignite is an open source memory-centric platform that combines a distributed SQL database with a Key-Value Data Grid that is ACID-compliant and horizontally scalable. It enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.

In this webinar, attendees will learn about the many components of Apache Ignite, including the Data Grid, Compute Grid, distributed SQL database and the Machine Learning Grid. We will also cover a few typical use cases and work through some Java code examples.

 

Building Consistent and Highly Available Distributed Systems with Apache® Ignite™ 

Webinar, Valentin Kulichenko

August 02, 2017

In this session, Valentin Kulichenko, Apache Ignite Committer and PMC, will give an overview of some of Apache® Ignite™ capabilities that allow the delivery as much availability as possible, while not breaking data consistency. Valentin will give specific guidelines on how to build such systems, and will do a deep dive into topics like:

  • In-memory backups
  • Data persistence
  • Data center replication
  • Full and incremental snapshots

 

Diving into the internals of Apache Ignite's memory architecture 

Meetup, Denis Magda

Jul 27, 2017

Apache Ignite is one of the fastest growing Apache projects. The presentation will take the audience on a roadmap discovery of Ignite moving to a memory-centric storage model, supporting both, fast in-memory and durable on-disk data, and blending a distributed SQL database with an in-memory key-value data grid.

 

An Intro to Apache Ignite, the Memory-centric Distributed Platform 

Meetup, Akmal Chaudhri

July 26, 2017

Join Akmal Chaudhri as he introduces the many components of the open-source Apache Ignite. You, as a Java professional, will learn how to solve some of the most demanding scalability and performance challenges. He will also cover a few typical use cases and work through some code examples.

 

Distributed ACID Transactions in Apache Ignite 

Webinar, Akmal Chaudhri

July 19, 2017

During this session, Akmal Chaudhri will do a deep-dive on the architecture of Apache Ignite's ACID-compliant transactional subsystem, elaborating on the following:

  • Data consistency: one-phase and two-phase commit implementations.
  • Fault-tolerance: recovery protocol for running transactions.
  • Optimistic and Pessimistic transactions.
  • Deadlock-free transactions
  • Deadlock detection mechanism

 

Turbocharge your SQL queries in-memory with Apache® Ignite™ 

Meetup, Amsterdam, Netherlands, Speaker - Denis Magda

June 20, 2017 @6:30pm

During this session, Denis will explain how Apache Ignite handles auto-loading of SQL schema and data from MySQL, supports SQL indexes, compound indexes support, and various forms of SQL queries including distributed SQL joins. He will demostrate how to:

  • Import SQL schema from MySQL and preserve the data sets stored in MySQL and Apache Ignite in sync.
  • Connect to Apache Ignite from your favourite tool or application language using ODBC or JDBC driver and start talking to a clustered data using familiar statements like SELECT, UPDATE, DELETE or INSERT.
  • Boost application performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TB's of data for your SQL-based applications.

 

Apache Ignite Community Meetup - An Overview of Donated Ignite Persistent Store Feature 

Meetup, GoToMeeting, Speaker - Denis Magda

June 16, 2017 @8:00am

Apache Ignite Community decided to gather and dive into the details of Ignite Persistent Store donation to the main code base. It’s planned to give a general overview of the store learning more about its main capabilities and features as well as go over implementation details referring to the source code. To join use the details below.

Please join my meeting from your computer, tablet or smartphone.
https://global.gotomeeting.com/join/818661157

You can also dial in using your phone.
United States: +1 (571) 317-3112

Access Code: 818-661-157

 

Apache Ignite and Apache Spark: This is Where Fast Data Meets the IoT 

Spark Summit 2017, San Francisco, CA. Speaker - Denis Magda

June 07, 2017 @3:20pm

During this session, Denis will explain and demonstrate how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time. In particular, you will learn the following:

  • Data streaming to an Apache Ignite cluster from embedded devices powered by Apache Mynewt.
  • Real-time data processing with Apache Spark and Apache Ignite.

 

Apache® Ignite™ 2.0: Prelude to a Distributed SQL Database 

Webinar, Denis Magda

June 07, 2017 @11:00am PT / 2:00pm ET

Apache Ignite 2.0 is a turnkey release which blends a distributed in-memory SQL database (IMDB) and an in-memory key-value data grid (IMDG) under one data management platform. It is also a necessary stepping stone ahead of Ignite 2.1 release which will be focused around the native disk persistence, allowing Ignite operate equally well in-memory and on-disk. You will learn how the off-heap memory architecture in Ignite has been re-engineered to better support SSD or Flash-based persistence. The new off-heap design uses a page-based approach with slab memory allocation, which may be optionally mapped to a persistent storage as is, without having to serialize or deserialize the data. The new architecture automatically handles memory fragmentation, significantly accelerates SQL, and almost completely removes costly garbage collection pauses. You will also learn how to create and alter SQL indexes at runtime, as well as utilize DDL to update distributed data sets using standard SQL syntax. We will also cover B+Tree data structures used to store SQL indexes off-heap.

 

Apache Ignite and Apache Spark: This is Where Fast Data Meets the IoT 

ApacheCon North America, Miami, FL. Speaker - Denis Magda

May 18, 2017 @2:40pm

During this session, Denis will explain and demonstrate how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time. In particular, you will learn the following:

  • Data streaming to an Apache Ignite cluster from embedded devices powered by Apache Mynewt.
  • Real-time data processing with Apache Spark and Apache Ignite.

 

Apache Ignite SQL Grid: Hot Blend of Traditional SQL and Swift Data Grid 

ApacheCon North America, Miami, FL. Speaker - Denis Magda

May 18, 2017 @10:00am

In-memory data grids bring exceptional performance and scalability gains to applications built on top of them. The applications truly achieve 10x more performance improvement and become easily scalable and fault-tolerant thanks to the unique data grids architecture. However, because of this particular architecture, a majority of data grids have to sacrifice traditional SQL support requiring application developers to completely rewrite their SQL-based code to support data grid specific APIs.

 

Apache Ignite and Apache Spark: Where Fast Data Meets the IoT 

Miami Hadoop User Group, Miami, FL. Speaker - Denis Magda

May 17, 2017 @6:00pm

During this session, Denis will explain and demonstrate how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time. In particular, you will learn the following:

  • Data streaming to an Apache Ignite cluster from embedded devices powered by Apache Mynewt.
  • Real-time data processing with Apache Spark and Apache Ignite.

 

Benchmarking: Apache Ignite Still Keeps Ahead Of Hazelcast 

Blog, Denis Magda

May 12, 2017

There's an ad saying that Hazelcast is up to 50% faster than Apache Ignite, but that may not be true anymore. Check out this benchmark to get the true story.

 

The next phase of distributed systems with Apache Ignite 

OSCON, Austin, TX. Speaker - Dani Traphagen

May 10, 2017 @5:05pm

Is memory the new disk? If so, what does this mean for the future of database systems and persistence as we know it? Will all our data(bases) still belong to us? Dani Traphagen explores the key paradigm shifts currently impacting those Fortune 500 companies that view disk as a bottleneck. Dani explains how to optimize toward the cache, leveraging it for low-latency, highly available microservices architectures with the hot-and-fresh-out-of-the-kitchen open source project Apache Ignite.

 

Apache® Ignite™: Real-Time Processing of IoT-Generated Streaming Data 

Webinar, Denis Magda

May 10, 2017 @11:00am

During this 1-hour webinar, Denis will explain and demonstrate how to build a fast data solution that can receive endless IoT-generated streams and process them in real-time using Apache Ignite's distributed in-memory computing platform. In particular, you will learn the following:

  • How to stream data to an Apache Ignite cluster from embedded devices
  • How to conduct real-time data processing on this stream using Apache Ignite

 

Apache Ignite 2.0 Released 

May 05, 2017

This major release was under the development for a long time. The community spent almost a year incorporating tremendous changes to the legacy Apache Ignite 1.x architecture. Curious why are we so boastful about this? Some of the main features of Apache Ignite 2.0 are:

  • Re-engineered Off-Heap Memory Architecture
  • Data Definition Language
  • Machine Learning Grid Beta - Distributed Algebra
  • Integration with Spring Data, Rocket MQ, Hibernate 5
  • Enchanced Inite.Net and Ignite C++ APIs

See release notes for a full list of the changes.

 

Accelerate MySQL® for Demanding OLAP and OLTP Use Cases with Apache® Ignite™ 

Percona Live 2017, Santa Clara, CA, USA. Speaker - Nikita Ivanov

April 25, 2017 @1:20pm PT

How to overcome the limitations of the MySQL architecture for big data analytics by leveraging the parallel distributed computing and ANSI SQL-99 capabilities of Apache Ignite. How to use Apache Ignite as an advanced high performance cache platform for hot data. The strategic benefits of using Apache Ignite instead of memcache, Redis®, Elastic®, or Apache® Spark™. At the end of the session, you will understand how incorporating Apache Ignite into your architecture can empower dramatically faster analytics and transactions when augmenting your current MySQL infrastructure.

 

Apache® Ignite™: An In-Memory Backbone for Microservices-Based Architectures 

Webinar, Denis Magda

April 19, 2017 @11:00am PT / 2:00pm ET

When systems that rely on microservices are used under high load or have to process rapidly growing volumes of data, they usually face the same issues and difficulties as applications that are not microservices-based. Disk-backed databases become a performance bottleneck as they can no longer keep up with growing volumes of data that have to be stored and processed in parallel. This degrades application performance and ultimately causes instability.
This webinar discusses how in-memory computing using Apache® Ignite™ can overcome the performance limitations common to microservices architectures built using traditional database architectures.

 

Scalability in Distributed In-Memory Systems 

JPoint 2017, Moscow, Russia. Speaker - Vladimir Ozerov

April 7, 2017 @15:30pm

In-memory computing frameworks and products rely on a simple horizontal scalability property - the more machines we have in a cluster the better the performance. However, a reasonable question arises. If I add a second machine to the cluster will I get 2x improvement? If there are 10 machines in a cluster should I expect overall 10x performance increase? Is it true and if, yes, if the guarantee meets all the time? Join Yakov on his talk to get answers on these questions and learn more about scalability and concurrency concepts implemented in Apache Ignite In-Memory Data Fabric.

 

Scalability in Distributed In-Memory Systems 

JBreak 2017, Novosibirsk, Russia. Speaker - Yakov Zhdanov

April 4, 2017 @15:15pm

In-memory computing frameworks and products rely on a simple horizontal scalability property - the more machines we have in a cluster the better the performance. However, a reasonable question arises. If I add a second machine to the cluster will I get 2x improvement? If there are 10 machines in a cluster should I expect overall 10x performance increase? Is it true and if, yes, if the guarantee meets all the time? Join Yakov on his talk to get answers on these questions and learn more about scalability and concurrency concepts implemented in Apache Ignite In-Memory Data Fabric.

 

Presenting Apache Ignite SQL Grid at PGConf US 2017 

Presentation, Denis Magda

March 30, 2017 @14:00pm EDT

Learn how to boost performance 1,000x and scale to over 1 billion transactions per second with in-memory storage of hundreds of TBs of data for your SQL-based applications. Apache Ignite is a unique NewSQL platform that is built on top of a distributed key-value storage and provides full-fledged SQL support. Denis will show how Apache Ignite handles auto-loading of SQL schema and data, SQL indexes, compound indexes support, and various forms of SQL queries including distributed SQL joins. It will be demonstrated how to connect to Apache Ignite from your favorite tool or application language using ODBC or JDBC driver and start talking to a clustered data using familiar statements like SELECT, UPDATE, DELETE or INSERT.

 

Presenting Apache Ignite SQL Grid at Big Data Bootcamp 

Presentation, Denis Magda

March 28, 2017 @1:00pm PT

In this presentation, Denis will introduce Apache Ignite SQL Grid component that combines the best of two worlds - performance and scalability of data grids and traditional ANSI-99 SQL support of relational databases. Moreover, Denis will take an existing application that works with a relational database and will show how to run it on top of Apache Ignite with minimum efforts.

 

Presenting Apache Ignite at Codemotion Rome 2017 

Presentation, Mandhir Gidda

March 24, 2017 @15:00pm

Join and learn about Apache Ignite which is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

 

The Apache® Ignite™ SQL Grid: A Hot Blend of Traditional SQL and In-Memory Data Grids 

Webinar, Denis Magda

March 15, 2017 @11:00am PT / 2:00pm ET

During this webinar, Apache Ignite PMC chair Denis Magda will introduce the SQL Grid component of Apache® Ignite™. He will discuss:

  • ANSI-99 SQL queries including distributed joins
  • Creating and leveraging SQL indices
  • Data modification with ANSI-99 DML (INSERT, UPDATE, DELETE, etc.)
  • Using Apache Ignite's JDBC and ODBC drivers

 

Apache Ignite: Transform batch-based system into swift real-time solution 

Apache Ignite London Meetup

February 23, 2017

IHS Markit will present first on how they have been using Apache Ignite on several major projects. The 2nd part of the meetup will be led by Mandhir Gidda who's been working with in-memory technologies for nearly 10 years.

 

The Apache® Ignite™ Web Console: Automating RDBMS Integration 

Webinar, Denis Magda

February 15, 2017 @11:00am PT / 2:00pm ET

During this webinar, Apache Ignite PMC chair Denis Magda will demonstrate how Apache® Ignite™ Web Console enables automatic integration of Apache Ignite and your RDBMS. He will show you how to:

  • Import a RBMS schema and map it to the Apache Ignite caches
  • Setup indexes
  • Create a Java POJO
  • Download a ready-to-run Apache Ignite based project that will be fully integrated with the RDBMS

 

Deploying Apache® Ignite™ – Top 7 FAQs 

Webinar, Christos Erotocritou and Rachel Pedreschi

January 25, 2017 @11:00am PT / 2:00pm ET

Christos Erotocritou and Rachel Pedreschi have helped numerous customers get started with Apache® Ignite™ and GridGain. During this 1-hour webinar, they will share answers to the most common questions asked prior to deployment. They will also provide guidance that will save you time and make deploying Apache Ignite a more enjoyable experience.

 

Apache Ignite 1.8.0 

December 09, 2016

This new release includes SQL DML operations support (INSERT, UPDATE, DELETE, MERGE) in Java, MapR distribution support in Hadoop, Entity Framework 2nd level cache and ASP.NET session state cache in .NET, DML and distributed joins in ODBC, stability and performance improvements, and more.

Download Ignite 1.8.0

Shared Memory Layer for Spark Applications 

Dmitriy Setrakyan, Apache Big Data Europe

November 16, 2016

Join Dmitriy Setrakyan, Apache Ignite Project Management Committee Chairman and co-founder and Chief Product Officer at GridGain, to learn more about the need to share state across different Spark jobs and applications and several technologies that make it possible, including Tachyon and Apache Ignite.

Read more

Shared Memory Layer and Faster SQL for Spark Applications 

Dmitriy Setrakyan, Apache Big Data Europe

November 16, 2016

Learn the importance of In Memory File Systems, Shared In-Memory RDDs with Apache Ignite, as well as the need to index data in-memory for fast SQL execution.

Read more

Apache Ignite - Path to Converged Data Platform 

Dmitriy Setrakyan, Apache Big Data Europe

November 15, 2016

The presentation will take the audience on a roadmap discovery of Ignite moving to a converged storage model, supporting both, analytical and transactional data sets.

Read more

Apache Ignite 1.7.0 

August 05, 2016

This new release includes support for distributed SQL JOIN, decimal support in ODBC, custom affinity functions and ASP.NET Output Cache Provider in .NET, stability and performance improvements, and more.

Download Ignite 1.7.0

Apache Ignite London Meetup 

July 13, 2016

Join us for a technical session to look at Apache Ignite and hear from BlackRock on how they believe it will solve their application performance & scalability challenges.

Please RSVP on Meetup.com.

Read more

Apache Ignite NYC Meetup 

June 28, 2016

Apache Ignite PMC member, Nikita Ivanov will be presenting a deep dive on Apache Ignite at our NYC meetup, Tuesday, June 28 at Work Market, 240 W 37th St, 9th Floor, New York, NY.

Please RSVP on Meetup.com. Space is limited and is filling up fast!

Read more

Apache Ignite 1.6.0 

May 23, 2016

This new release includes support for deadlock detection in Ignite caches, ODBC driver, CacheStore implementation backed by Cassandra DB, AtomicSequence and AtomicReference data structures for .NET, transactions API for C++ client, stability and fault-tolerance improvements, and more.

Download Ignite 1.6.0

Ignite Adds Add-ons 

February 17, 2016

Add-ons has been added to the website for projects built on top of Ignite. These projects intend to make user experience with Ignite easier. Currently, there are two such projects available - Apache Ignite Extensions and GridGain Web Console.

Read more

Apache Ignite 1.5.0.final Released 

January 4, 2016

This final version of 1.5.0 includes support for .NET and C++, Streamer for MQTT, Twitter, Apache Flume, and Apache Camel, OSGi support, "deadlock-free" transactions, compact binary protocol, performance improvements for SQL queries, transactions, and more.

Download Ignite 1.5.0.final

Apache Ignite 1.5.0-b1 Early Access Released 

December 12, 2015

This early access version includes support for .NET and C++, Streamer for MQTT, Twitter, and Apache Flume, compact binary protocol, performance improvements for SQL queries, transactions, and more.

Download Ignite 1.5.0-b1

Apache Ignite 1.4.0 Released 

September 28, 2015

This is the first Apache Ignite release since the project graduated from incubation in August, 2015. This new release includes SSL support to communication and discovery, support for log4j2, significantly faster JDBC driver implementation, fixes for SQL queries group index logic, auto-retries for cache operations in recoverable cases and more.

Download Ignite 1.4.0

Apache Ignite Graduated to a Top-Level Project 

August 25, 2015

The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache™ Ignite™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Read more

Apache Ignite 1.3.0 Released 

July 21, 2015

This new release includes integration with Apache YARN for data center and resource management, fixes for JTA transactions, Hibernate L2 Cache improvements, and more.

Download Ignite 1.3.0

Apache Ignite 1.2.0 Released 

June 29, 2015

This new release includes shared RDD for Apache Spark (based on Ignite Data Grid), integration with Apache Mesos for data center management, client-mode for light-weight cluster discovery, memory-size eviction policy, and more.

Download Ignite 1.2.0

Apache Ignite 1.1.0 Released 

May 28, 2015

This new release includes Google Compute Engine and generic cloud TCP discovery IP finder, "Collocated" mode for SQL queries, support for (*) star notation in cache names, fix for SQL union support, and more.

Download Ignite 1.1.0

Apache Ignite 1.0.0 Released 

April 2, 2015

This new release includes dynamic caching functionality to start and stop caches during runtime, simplified Query API, automatic aggregation, grouping and sorting support for SQL Queries, Streaming examples, and more.

Download Ignite 1.0.0

Apache Ignite 1.0.0-RC3 Released 

March 24, 2015

This is the first release of Apache Ignite project. The source code in large part is based on the GridGain In-Memory Data Fabric, open source edition, v. 6.6.2, which was donated to Apache Software Foundation. The main feature set of Ignite In-Memory Data Fabric includes:

  • Advanced Clustering
  • Compute Grid
  • Data Grid
  • Service Grid
  • IGFS - Ignite File System
  • Distributed Data Structures
  • Distributed Messaging
  • Distributed Events
  • Streaming & CEP

Download Ignite 1.0.0-RC3

InfoQ Interview with Nikita Ivanov on Apache Ignite Incubation 

December 3, 2014

InfoQ caught up with Nikita Ivanov, CTO and founder of GridGain, about the In-Memory Computing framework becoming an Apache project, motivation behind this decision, and upcoming features and enhancements of GridGain.

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Apache Ignite Enters Incubation 

October 1, 2014

GridGain recently announced that the GridGain In-Memory Data Fabric has been accepted into the Apache Incubator program under the name "Apache Ignite." Earlier in 2014, GridGain was transformed to an open source model through Apache 2.0 license. Now, the product will be available under the Apache Foundation project portfolio.

Read more