Hazelcast vs MemSQL: What are the differences?

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; MemSQL: Database for real-time transactions and analytics. MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Hazelcast and MemSQL belong to "In-Memory Databases" category of the tech stack.

Some of the features offered by Hazelcast are:

• Distributed implementations of java.util.{Queue, Set, List, Map}
• Distributed implementation of java.util.concurrent.locks.Lock
• Distributed implementation of java.util.concurrent.ExecutorService

On the other hand, MemSQL provides the following key features:

• ANSI SQL Support
• Fully-distributed Joins
• Compiled Queries

Hazelcast is an open source tool with 3.18K GitHub stars and 1.16K GitHub forks. Here's a link to Hazelcast's open source repository on GitHub.

According to the StackShare community, Hazelcast has a broader approval, being mentioned in 26 company stacks & 16 developers stacks; compared to MemSQL, which is listed in 10 company stacks and 4 developer stacks.