Struggling to choose between Apache Cassandra and Microsoft SQL Server? Both products offer unique advantages, making it a tough decision.
Apache Cassandra is a Databases solution with tags like distributed, scalable, high-availability, fault-tolerant, wide-column-store.
It boasts features such as Distributed database system, Linear scalability, Fault tolerance, Tunable consistency, Column-oriented database, Multi-datacenter replication and pros including High availability, Fast writes, Tunable consistency, Flexible schema design, Linear scalability.
On the other hand, Microsoft SQL Server is a Business & Commerce product tagged with database, relational-database, sql, data-warehousing, analytics, machine-learning.
Its standout features include Relational database management system, Transaction processing, Data warehousing, Analytics, Machine learning, High availability, Disaster recovery, Security, Scalability, and it shines with pros like Wide platform and OS support (Windows, Linux, containers), Mature and feature-rich, Strong performance and scalability, Built-in high availability and disaster recovery, Powerful analytics and machine learning capabilities, Integrates well with other Microsoft products and Azure cloud.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Apache Cassandra is a free, open-source, distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
Microsoft SQL Server is a relational database management system developed by Microsoft. It supports transaction processing, data warehousing, analytics and machine learning. SQL Server runs on Windows and Linux.