Databaseless Data Processing with EclipseStore and WebSphere Liberty InstantOn

Track: JakartaEE
More and more companies and organizations are using AI, ML, VR and big data in the cloud. 3 factors are most critical for all of them: high performance, low data storage costs, and simple, fast and cost-efficient implementation and maintenance. Traditional databases and persistence frameworks worked well so far, however for the beginning AI age they are too slow, implementing is complex, and databases are too expensive in the cloud. That's why many innovative companies such as online banks or gaming companies have built their individual high-performance systems with pure Java with high effort to meet their requirements. Now, with EclipseStore there is a leight-weight and easy to use framework. EclipseStore enables databaseless high-performance in-memory data processing for modern cloud-native Java applications and microservices. It lets you store any Java object graph of any size and complexity seamlessly into any cloud binary data storage. Users benefit from ultra-fast in-memory data processing, up to 1000x faster queries, up to 99% cloud database cost savings, and unrivaled simplicity. WebSphere Liberty InstantOn enables EclipseStore cluster nodes starting in milliseconds without the need for using GraalVM native images.
Markus Kett
Markus and his teams have been working on IDE tools for Java and database development, as well as various open-source projects for 20 years. Markus is CEO and co-founder of MicroStream, the company behind the Eclipse open-source projects EclipseStore, Eclipse Serializer, and RapidClipse IDE. He is also the editor-in-chief for the free JAVAPRO magazine in Germany and the founder and co-organizer of the Java community conference series JCON. He is an independent editor for several magazines, and a speaker at numerous international developer conferences, user groups, and meetups.
Mark Stoodley
Mark joined the IBM Markham lab in 2002 after graduating from the University of Toronto with a Ph.D. focusing on the field of computer engineering. He spent his entire IBM career in the Runtime Technologies (formerly Java Technology Center) team developing, testing, servicing, and now architecting Just-In-Time (JIT) compilers. Mark led the J9 Java Virtual Machine team through the effort to significantly refactor and then to contribute millions of lines of J9 source code to two open projects : Eclipse OMR and Eclipse OpenJ9. Following this successful effort, he became the Chief Architect for IBM Java, leading a global team that builds, innovates in, and services the IBM Semeru Runtime (JDK) for thousands of Java-based products and cloud services used by small, medium, large, and huge companies spanning all sectors of the IT industry.