cass-operator VS Apache Cassandra

Alright! So does this Cassandra operator fullfil does demands? https://github.com/k8ssandra/cass-operator

cass-operator

We can illustrate the above concept by creating a lightweight overlay network for Cassandra’s internode traffic. We’ll deploy a Cassandra cluster consisting of two datacenters using the open source cass-operator. After preparing two Kubernetes clusters of 3 nodes each (2 CPU & 4 GB RAM), perform the following steps. Steps one through five are performed in both kubes, while steps six and seven are different for each:

The next step is to create the cluster. The following deployment file creates a 3 node cluster. It is largely a copy from the upstream cass-operator version 1.7.0 file example-cassdc-minimal.yaml but with a small modification made to allow all the pods to be deployed to the same worker node (as CodeReady Containers only uses one k8s node by default).

I have customers that are using DSE on Kubernetes in production right now with cass-operator. Regarding choosing one product over the other, I think you want to look at the features your application needs and make the choice there. DSE has a number of features that are not present in K8ssandra. I would not be surprised to see users running a mix of both depending on their needs.

Apache Cassandra

Apache Cassandra{:target="_blank"} is a highly scalable and fault-tolerant database that can handle large volumes of data across multiple nodes or clusters. It provides fast read and write operations, making it suitable for real-time analytics or applications with high throughput requirements.

Wide Column: Apache Cassandra, ScyllaDB and DynamoDB

Cassandra, a replicated, fault-tolerant, decentralized and scalable database system.

A popular database you might already be familiar with is Apache Cassandra®, which powers high-performing applications for thousands of companies including Hulu, Netflix, Spotify, and Apple. While this free, open-source database is known for its high availability, scalability, and resilience; the downside is that it’s also notoriously complex to set up and manage.

In our previous article, we looked at augmenting our dashboard to store and display individual events from the Avengers using DataStax Astra, a serverless DBaaS powered by Apache Cassandra using Stargate to offer additional APIs for working with it.

Example: Apache Cassandra, CouchDB.

For our TikTok database, we’re using DataStax Astra DB: a cloud-based database that fully manages Apache Cassandra®, one of the most robust and scalable NoSQL databases around.