Cassandra
Cassandra

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Hazelcast

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Cassandra vs Hazelcast: What are the differences?

Developers describe Cassandra as "A partitioned row store. Rows are organized into tables with a required primary key". 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. On the other hand, Hazelcast is detailed 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.

Cassandra belongs to "Databases" category of the tech stack, while Hazelcast can be primarily classified under "In-Memory Databases".

"Distributed" is the primary reason why developers consider Cassandra over the competitors, whereas "High Availibility" was stated as the key factor in picking Hazelcast.

Cassandra and Hazelcast are both open source tools. It seems that Cassandra with 5.23K GitHub stars and 2.33K forks on GitHub has more adoption than Hazelcast with 3.15K GitHub stars and 1.15K GitHub forks.

According to the StackShare community, Cassandra has a broader approval, being mentioned in 337 company stacks & 230 developers stacks; compared to Hazelcast, which is listed in 25 company stacks and 15 developer stacks.

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.

Want advice about which of these to choose?Ask the StackShare community!

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    What are some alternatives to Cassandra and Hazelcast?
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    Redis
    Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
    Couchbase
    Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
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    Decisions about Cassandra and Hazelcast
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    How developers use Cassandra and Hazelcast
    Avatar of Soundcloud
    Soundcloud uses CassandraCassandra

    Stitch is a wrapper around a Cassandra database. It has a web application that provides read-access to the counts through an HTTP API. The counts are written to Cassandra in two distinct ways, and it's possible to use either or both of them:

    • Real-time: For real-time updates, Stitch has a processor application that handles a stream of events coming from a broker and increments the appropriate counts in Cassandra.

    • Batch: The batch part is a MapReduce job running on Hadoop that reads event logs, calculates the overall totals, and bulk loads this into Cassandra.

    Avatar of Vital Labs, Inc.
    Vital Labs, Inc. uses HazelcastHazelcast

    HazelCast is the foundation for the distributed system that hosts our APIs and intelligent workflows. We wrap the core HazelCast functions in Clojure protocols to implement micro-services on top of a coherent, single-process instance per virtual node.

    Avatar of Vital Labs, Inc.
    Vital Labs, Inc. uses CassandraCassandra

    Cassandra is our data management workhorse. It handles all our key-value services, supports time-series data storage and retrieval, securely stores all our audit trails, and backs our Datomic database.

    Avatar of SocialCops
    SocialCops uses CassandraCassandra

    While we experimented with Cassandra in the past, we are no longer using it. It is, however, open for consideration in future projects.

    Avatar of ShareThis
    ShareThis uses CassandraCassandra

    We are using Cassandra in a few of our apps. One of them is as a count service application to track the number of shares, clicks.. etc

    Avatar of Kaiko
    Kaiko uses CassandraCassandra
    How much does Cassandra cost?
    How much does Hazelcast cost?
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