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This document provides an overview of Hazelcast, an in-memory distributed computing platform. It discusses Hazelcast's capabilities for distributed caching, data grids, and real-time processing. The document also provides details on Hazelcast's commercial support offerings, recent 3.7 release features including modularity and performance improvements, and roadmap including new client libraries and cloud integration.
![© 2016 Hazelcast Inc. Confidential & Proprietary 7
Analyst Reports
Hazelcast reviewed in Gartner “Market Guide for In-Memory Data
Grids” [subscription required]
https://www.gartner.com/doc/3092924/market-guide-inmemory-data-
grids
“On the Radar: An open-source in-memory data grid platform
for Java” [subscription required]
https://www.ovumkc.com/Products/IT/Infrastructure-Solutions/On-
the-Radar-Hazelcast/Summary
Hazelcast Inc cited as Leader by Independent Research Firm
[subscription required]
https://www.forrester.com/The+Forrester+Wave+InMemory+Data+G
rids+Q3+2015/quickscan/-/E-RES120420](https://image.slidesharecdn.com/geeknights-hongkong-161101102949/85/Geek-Nights-Hong-Kong-7-320.jpg)
![Hazelcast Servers
Hazelcast Server
JVM [Memory]
A B C
Business Logic
Data Data Data
CE = Compute Engine
Result
Business / Processing Logic
Result
TCP / IP
Client Client
Distributed Computing](https://image.slidesharecdn.com/geeknights-hongkong-161101102949/85/Geek-Nights-Hong-Kong-12-320.jpg)
Geek Nights Hong Kong
- 1. © 2016 Hazelcast Inc. Confidential & Proprietary 1 Hazelcast Overview Chris Wilson – VP of Sales [email protected] Rahul Gupta – Senior Solution Architect [email protected]
- 2. © 2016 Hazelcast Inc. Confidential & Proprietary 2 Hazelcast is an operational, in-memory, distributed computing platform that manages data using in-memory storage, and performs parallel execution for breakthrough application speed and scale. Distributed Computing. Simplified.
- 3. © 2016 Hazelcast Inc. Confidential & Proprietary 3 Training in Hong Kong – October 27, 2016
- 4. © 2016 Hazelcast Inc. Confidential & Proprietary 4 The Shift to Web-Scale and Real-time In-memory Computing Real-Time Latency Situational AwarenessBusiness Moments Fast Big Data Web Scale Do things up to 1000x faster than a database Decision makers’ instant business-state understanding Spot transient opportunities to exploit dynamically Big Data with low latencies for batch and streaming Scale up and out to support the largest use cases
- 5. © 2016 Hazelcast Inc. Confidential & Proprietary 5 Company Snapshot • Founded in 2008, 75 staff • Commercial Open Source Business Model • Gartner “Market Guide for IMDG” 2015, Leader in Forrester IMDG Wave Report 2015 • Headquarters in Palo Alto with offices in London, New York, Istanbul Salil Deshpande Bain Capital Ventures Ali Kutay CEO Striim CEO Golden Gate Rod Johnson CEO SpringSource Roland Manger Earlybird Venture Fuad Malikov Founder & VP Technical Ops IBM Greg Luck CEO Terracotta Ehcache BOARD MEMBERS MANAGEMENT TEAM Fuad Malikov Founder & VP Technical Ops IBM Greg Luck CEO Terracotta Ehcache Kevin Cox VP Marketing SAP EXASOL Chris Wilson VP Sales Oracle Skytree Morgan Dioli VP Finance Twitter Terracotta Enes Akar VP Engineering
- 6. © 2016 Hazelcast Inc. Confidential & Proprietary 6 Hazelcast Use Cases High-Density Caching In-Memory Data Grid Web Session Clustering • High-Density Memory Store, client and member • Full JCache support • Elastic scalability • Super fast • High availability • Fault tolerance • Simple, modern APIs • Distributed Data Structures • Distributed Compute • Distributed Clustering • Object-oriented and non-relational • Elastic and scalable • Transparent database integration • Cluster Management • Seamless failover between user sessions • High performance • No application alteration • Easy scale-out • Fast session access • Off load to existing cluster • Tomcat, Jetty + any Web Container • Works efficiently with large session objects using delta updates Microservices Infrastructure • Isolation of Services with many, small clusters • Service registry • Network discovery • Inter-process messaging • Fully Embeddable • Spring Cloud, Boot Data Services
- 7. © 2016 Hazelcast Inc. Confidential & Proprietary 7 Analyst Reports Hazelcast reviewed in Gartner “Market Guide for In-Memory Data Grids” [subscription required] https://www.gartner.com/doc/3092924/market-guide-inmemory-data- grids “On the Radar: An open-source in-memory data grid platform for Java” [subscription required] https://www.ovumkc.com/Products/IT/Infrastructure-Solutions/On- the-Radar-Hazelcast/Summary Hazelcast Inc cited as Leader by Independent Research Firm [subscription required] https://www.forrester.com/The+Forrester+Wave+InMemory+Data+G rids+Q3+2015/quickscan/-/E-RES120420
- 9. Why Hazelcast? • Scale-out Computing enables cluster capacity to be increased or decreased on-demand • Resilience with automatic recovery from member failures without losing data while minimizing performance impact on running applications • Programming Model provides a way for developers to easily program a cluster application as if it is a single process • Fast Application Performance enables very large data sets to be held in main memory for real-time performance
- 10. 01001 10101 01010 In Memory Data Computing In Memory Data Messaging++In Memory Data Storage In Memory Data Grid
- 11. Business Systems A B C RDBMS Mainframe MongoDB NoSQL REST Scale Hazelcast In-Memory Caching
- 12. Hazelcast Servers Hazelcast Server JVM [Memory] A B C Business Logic Data Data Data CE = Compute Engine Result Business / Processing Logic Result TCP / IP Client Client Distributed Computing
- 13. Hazelcast Distributed Topic Bus Hazelcast Topic Hazelcast Node 1 Hazelcast Node 2 Hazelcast Node 3 MSG Subscribes Delivers Subscribes Delivers Distributed Messaging
- 14. Data Distribution and Resilience 14
- 15. Distributed Maps Fixed number of partitions (default 271) Each key falls into a partition partitionId = hash(keyData)%PARTITION_COUNT Partition ownerships are reassigned upon membership change A B C
- 16. New Node Added DA B C
- 17. Migration DA B C
- 18. Migration DA B C
- 19. Migration DA B C
- 20. Migration DA B C
- 21. Migration DA B C
- 22. Migration DA B C
- 23. Migration Complete DA B C
- 24. Data Safety on Node Failure 24
- 25. Node Crashes DA B C
- 26. Backups Are Restored DA B C
- 27. Backups Are Restored DA B C
- 28. Backups Are Restored DA B C
- 29. Backups Are Restored DA B C
- 30. Backups Are Restored DA B C
- 31. Backups Are Restored DA B C
- 32. Backups Are Restored DA B C
- 33. Backups Are Restored DA B C
- 34. Recovery Is Complete DA C
- 36. Hazelcast High Level Roadmap Hi-Density Caching In-Memory Data Grid 2013 2015 2017 HD Memory | Advance Messaging PaaS | Extensions | Integrations | JET Scalability | Resiliency | Elastic Memory | In-Memory Computing Advance In-memory Computing Platform
- 37. Hazelcast Platform: Hazelcast Everywhere
- 39. What’s Hazelcast Jet? • General purpose distributed data processing framework • Based on Direct Acyclic Graph to model data flow • Built on top of Hazelcast • Comparable to Apache Spark or Apache Flink 39
- 40. Job Execution 40
- 41. © 2016 Hazelcast Inc. Confidential & Proprietary 4 1 Hazelcast 3.7 Release
- 42. Features Description Modularity In 3.7, Hazelcast is converted to a modular system based around extension points. So clients, Cloud Discovery providers and integrations to third party systems like Hibernate etc will be released independently. 3.7 will then ship with the latest stable versions of each. Redesign of Partition Migration More robust partition migration to round out some edge cases. Graceful Shutdown Improvements More robust shutdown with partition migration on shutdown of a member Higher Networking Performance A further 30% improvement in performance across the cluster by eliminating notifyAll() calls. Map.putAll() Performance Speedup Implement member batching. New Hazelcast 3.7 Features
- 43. Features Description Rule Based Query Optimizer Make queries significantly faster by using static transformations of queries. Azul Certification Run Hazelcast on Azul Zing for Java 6, 7 or 8 for less variation of latencies due to GC. Solaris Sparc Support Align HD Memory backed data structure's layouts so that platforms, such as SPARC work. Verify SPARC using our lab machine. New Features for JCache Simple creation similar to other Hazelcast Data Structures. E.g. Command Line Interface New command line interface for common operations performed by Operations. Non-blocking Vert.x integration New async methods in Map and integration with Vert.x to use them. New Hazelcast 3.7 Features
- 44. New Hazelcast 3.7 Clients and Languages Features Description Scala integration for Hazelcast members and Hazelcast client. Implements all Hazelcast features. Wraps the Java client for client mode and in embedded mode uses the Hazelcast member directly. Node.js Native client implementation using the Hazelcast Open Client protocol. Basic feature support. Python Native client implementation using the Hazelcast Open Client protocol. Supports most Hazelcast features. Clojure Clojure integration for Hazelcast members and Hazelcast client. Implements some Hazelcast features. Wraps the Java client for client mode and in embedded mode uses the Hazelcast member directly.
- 45. New Hazelcast 3.7 Cloud Features Features Description Azure Marketplace Ability to start Hazelcast instances on Docker environments easily. Provides Hazelcast, Hazelcast Enterprise and Management Center. Azure Cloud Provider Discover Provider for member discovery using Kubernetes. (Plugin) AWS Marketplace Deploy Hazelcast, Hazelcast Management Center and Hazelcast Enterprise clusters straight from the Marketplace. Consul Cloud Provider Discover Provider for member discovery for Consul (Plugin) Etcd Cloud Provider Discover Provider for member discovery for Etcd (Plugin) Zookeeper Cloud Provider Discover Provider for member discovery for Zookeeper (Plugin) Eureka Cloud Provider Discover Provider for member discovery for Eureka 1 from Netflix. (Plugin) Docker Enhancements Docker support for cloud provider plugins
- 47. Service Offerings Hazelcast (Apache Licensed) • Professional Subscription – 24x7 support* Hazelcast Enterprise Support • Available with Hazelcast Enterprise software subscription - 24x7 support* Additional Services • Development Support Subscription – 8x5 support* • Simulator TCK • Training • Expert Consulting • Development Partner Program * All subscriptions include Management Center
- 48. © 2016 Hazelcast Inc. Confidential & Proprietary 4 8 Best In Class Support Support from the Engineers who wrote the code SLA Driven – 100% attainment of support response time Follow the Sun Portal, Email and Phone access Go Red, Go Green. Reproduction of issues on Simulator. Proof of fix on Simulator. Periodic Technical Reviews Meet your production schedule and corporate compliance requirements Ensure the success of your development team with training and best practices
- 50. © 2016 Hazelcast Inc. Confidential & Proprietary 50 Release Lifecycle • Regular Feature release each 4-5 months, e.g. 3.3, 3.4, 3.5 • Maintenance release approximately each month with bug fixes based on the current feature release, e.g. 3.4.1 • For older versions, patch releases made available to fix issues • Release End of Life per support contract