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Containerized NoSQL Workloads: Cassandra performance gains with running Portworx Enterprise

In this example, we show how Portworx Enterprise ’s network-optimized 3-way replication out-performs Cassandra’s 3-way replication when running on a 3-node cluster. We compared the performance between the following two configuration and ran these tests on the same servers as the tests above.

• Portworx Enterprise replication factor set to 1 and Cassandra replication factor set to 3. (Legend: P1C3 in the diagram below)
• Portworx Enterprise replication factor set to 3 and Cassandra replication factor set to 1. (Legend: P3C1 in the diagram below)

The results demonstrate that running with Portworx Enterprise for Cassandra workloads provide significant gains. Portworx Enterprise ’s breakthrough performance for containerized workloads along with the cloud-scale data protection and data services make it a compelling container data services infrastructure for Cassandra and other no-sql workloads

The Read OPS/sec and Write OPS/sec improvements graphs show how running with Portworx Enterprise ’s three-node replication deliver a significantly better OPS/sec than running with Cassandra’s three-node replication. This Portworx Enterprise performance is also made possible because Portworx container software stack intelligently leverages NVMe SSDs to deliver high OPS/sec and low latencies.

Cassandra with Portworx Enterprise - Read OPS/sec improvements

Cassandra with Portworx Enterprise - Write OPS/sec improvements

The latency graphs below demonstrate the network-optimized replication performance of Portworx Enterprise as it accelerates cassandra performance by delivering IO at very low latencies to the Cassandra Container

Cassandra with Portworx Enterprise - Read Latency improvements

Cassandra with Portworx Enterprise - Write Latency improvements

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