Storing More Data and Saving Money with DSE vs. Open Source Cassandra

Apache Cassandra is widely recognized as the top NoSQL engine for handling large volumes of operational data, due to its masterless, divide-and-conquer architecture that outperforms other databases. However, open source Cassandra has a storage limitation of around one terabyte per machine, which can lead to negative management and cost implications for extraordinarily large databases. DataStax Enterprise (DSE) offers solutions to this issue by enabling users to store 2-4X the amount of compressed data per node compared to open source Cassandra, resulting in productivity and cost savings. DSE's advanced performance enhancements and storage engine optimizations allow it to handle more compressed data per node for general applications and time-series styled applications like IoT. A real-life example is a large media content delivery company that saved $7 million over three years by switching from open source Cassandra to DSE, along with other benefits such as reduced cloud costs and elimination of additional search clusters.

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