In the past, relational databases were the most commonly used technology for storing and retrieving data, allowing easier management and retrieval of any stored information organized as a set of tables. However, today databases are larger in size and the query execution time can become very long, requiring servers with bigger capacities. The purpose of this paper is to describe and analyze the Cassandra NoSQL database using the Yahoo! Cloud Serving Benchmark in order to better understand the execution capabilities for various types of applications in environments with different amounts of stored data. The experiments with Cassandra show good scalability and performance results and how the database size and number of nodes affect it.