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A partitioned row store. Rows are organized into tables with a required primary key.
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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.
Cassandra is a tool in the Databases category of a tech stack.
Cassandra is an open source tool with 7K GitHub stars and 3K GitHub forks. Here’s a link to Cassandra's open source repository on GitHub

Who uses Cassandra?

505 companies reportedly use Cassandra in their tech stacks, including Uber, Facebook, and Netflix.

2612 developers on StackShare have stated that they use Cassandra.

Cassandra Integrations

Datadog, Kong, DataGrip, Liquibase, and Buddy are some of the popular tools that integrate with Cassandra. Here's a list of all 50 tools that integrate with Cassandra.
Pros of Cassandra
High performance
High availability
Easy scalability
Multi datacenter deployments
Open source
Schema optional
Workload separation (via MDC)
Decisions about Cassandra

Here are some stack decisions, common use cases and reviews by companies and developers who chose Cassandra in their tech stack.

Why should I consider DataStax Enterprise instead of vanilla Cassandra?

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Umair Iftikhar
Technical Architect at Vappar · | 3 upvotes · 140.4K views

Developing a solution that collects Telemetry Data from different devices, nearly 1000 devices minimum and maximum 12000. Each device is sending 2 packets in 1 second. This is time-series data, and this data definition and different reports are saved on PostgreSQL. Like Building information, maintenance records, etc. I want to know about the best solution. This data is required for Math and ML to run different algorithms. Also, data is raw without definitions and information stored in PostgreSQL. Initially, I went with TimescaleDB due to PostgreSQL support, but to increase in sites, I started facing many issues with timescale DB in terms of flexibility of storing data.

My major requirement is also the replication of the database for reporting and different purposes. You may also suggest other options other than Druid and Cassandra. But an open source solution is appreciated.

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Blog Posts

Cassandra Alternatives & Comparisons

What are some alternatives to Cassandra?
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.
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 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.
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.
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.
See all alternatives

Cassandra's Followers
3131 developers follow Cassandra to keep up with related blogs and decisions.