This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Overview
Hazelcast supports SQL querying to allow anyone familiar with the industry-standard language to interact with in-memory data. Leveraging the sophisticated query engine built into Hazelcast, the SQL support adds a well-known interface to run queries and offers:
Additional capabilities such as joins, sorting, and aggregations are on the roadmap for delivery in near-future releases. An upcoming release of Hazelcast Jet will take advantage of this SQL support to allow you to run SQL queries on streaming data.
Take advantage of in-memory speeds, and also gain further performance via indexes and advanced query optimization.
Initial support entails “select” queries; the roadmap includes the goal of extensive, standard SQL support for create/read/update/delete (CRUD) operations.
Query fields (“attributes”) for more granular results, instead of only querying on the primary key.
Leverage Hazelcast advantages around business continuity, scale, and security that have been a core part of Hazelcast IMDG.
The Hazelcast in-memory data store can be used as a high-speed data store for reference data to enrich streaming data, or it can be used with other applications to accelerate data accesses.
BNP Paribas Bank Polska, which has been listed on the Warsaw Stock Exchange since 2011 is a member of the BNP Paribas banking group whose footprint spans 71 countries.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
