Top 8 Apache Cassandra alternatives

Last updated: March 25, 2015
Apache Cassandra
Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients.
The best Apache Cassandra alternatives:


MongoDB


MongoDB is an open-source document database, and the leading NoSQL database. Written in C++, MongoDB features: Document-Oriented Storage, Full Index Support, Replication & High Availability, Auto-Sharding, Querying, Fast In-Place Updates, Map/Reduce and others.

MySQL


MySQL is the world's most popular open source database. Whether you are a fast growing web property, technology ISV or large enterprise, MySQL can cost-effectively help you deliver high performance, scalable database applications.

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. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

PostgreSQL


PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems

Redis


Redis is an open source, BSD licensed, advanced key-value cache and store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets, sorted sets, bitmaps and hyperloglogs.

Microsoft SQL Server


SQL Server enables customers to build mission-critical applications and Big Data solutions using high-performance, in-memory technology across OLTP, data warehousing, business intelligence and analytics workloads without having to buy expensive add-ons or high-end appliances. SQL Server uses a common set of tools to deploy and manage databases both on-premises and in the cloud, which makes it easier for customers to take advantage of the cloud with existing skills.