Cassandra vs. Hazelcast vs. Citus

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

Cassandra

Hazelcast

Citus

Favorites

54

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8

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2

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GitHub Stats

Description

What is Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

What is Hazelcast?

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.

What is Citus?

Citus is worry-free Postgres for SaaS. Made to scale out, Citus is an extension to Postgres that distributes queries across any number of servers. Citus is available as open source, as on-prem software, and as a fully-managed service.

Pros about this tool

Why do you like Cassandra?

Why do you like Hazelcast?

Why do you like Citus?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

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Cassandra Query Language
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...
How the Citus distributed database rebalances your data
Citus 7.2: Distributed Postgres w/ CTEs, complex sub...
Citus and pg_partman: Creating a scalable time serie...


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