Kdb+ vs Hazelcast: What are the differences?
Kdb+: Fast, powerful, massively scalable time-series database. It is a column-based relational time-series database with in-memory abilities. The database is commonly used in high-frequency trading to store, analyze, process, and retrieve large data sets at high speed. kdb+ has the ability to handle billions of records and analyzes data within a database; Hazelcast: Clustering and highly scalable data distribution platform for Java. With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
Kdb+ and Hazelcast can be primarily classified as "In-Memory Databases" tools.
Hazelcast is an open source tool with 3.93K GitHub stars and 1.36K GitHub forks. Here's a link to Hazelcast's open source repository on GitHub.