Hazelcast vs Heroku Postgres: What are the differences?
Developers describe Hazelcast as "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. On the other hand, Heroku Postgres is detailed as "Heroku's Database-as-a-Service. Based on the most powerful open-source database, PostgreSQL". Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
Hazelcast can be classified as a tool in the "In-Memory Databases" category, while Heroku Postgres is grouped under "PostgreSQL as a Service".
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, Heroku Postgres provides the following key features:
- High Availability
- Rollback
- Dataclips
"High Availibility" is the top reason why over 4 developers like Hazelcast, while over 27 developers mention "Easy to setup" as the leading cause for choosing Heroku Postgres.
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, Heroku Postgres has a broader approval, being mentioned in 74 company stacks & 39 developers stacks; compared to Hazelcast, which is listed in 26 company stacks and 16 developer stacks.