{"id":11228,"date":"2021-07-13T01:49:32","date_gmt":"2021-07-13T08:49:32","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=11228"},"modified":"2025-12-19T06:38:51","modified_gmt":"2025-12-19T14:38:51","slug":"couchbase-autonomous-operator-for-kubernetes-vs-mongodb-enterprise-kubernetes-operator","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/couchbase-autonomous-operator-for-kubernetes-vs-mongodb-enterprise-kubernetes-operator\/","title":{"rendered":"Couchbase Autonomous Operator vs MongoDB Enterprise Kubernetes Operator"},"content":{"rendered":"

A Kubernetes Operator is a software extension to Kubernetes that<\/strong> supports built-in capabilities to manage your Kubernetes applications in an automated fashion and that follows Kubernetes principles \u2013 especially the Control Loop<\/a> pattern.<\/p>\n

Why do we need a Kubernetes Operator<\/a>? Let’s consider the StatefulSets example<\/a>.<\/p>\n

StatefulSets are great for certain use cases, but they don’t work that well for running complex software like databases because they focus on creating and managing pods, not on managing the software running on them. So if you wanted a four-node cluster and deployed Couchbase<\/a> using StatefulSets, you would get four uninitialized Couchbase pods that don’t know about each other. It would then be up to you to join the nodes together into a cluster, and that means extra operational tasks.<\/p>\n

By deploying Couchbase Autonomous Operator<\/a> with a unique custom Couchbase controller<\/a>, Kubernetes gets Couchbase-specific knowledge so that whenever a Couchbase pod is deployed, it can properly configure and join it with other Couchbase pods in the cluster.<\/p>\n

Cluster provisioning, node failure, ad-hoc scaling, and many other management tasks also require Couchbase-specific knowledge within Kubernetes in order to be properly automated. Therefore, a Kubernetes operator is the best way to make the database a prime choice for cloud-native development on Kubernetes. However, when trying to find out which database is truly cloud-native and best fits your organization’s goals, you should consider multiple factors.<\/p>\n

In this article, I compare Couchbase Autonomous Operator, a core part of the Couchbase Cloud-Native stack<\/a> against MongoDB Enterprise Kubernetes Operator on various factors that are key to making the right decision on selecting a database for cloud-native developments.<\/p>\n

Cloud-Native Integrations<\/h2>\n
<\/div>\n

\"An<\/p>\n

Figure 1: Couchbase Cloud-Native Stack<\/em><\/p>\n

As shown in Figure 1 above, Couchbase Autonomous Operator<\/a> has tight \u2013 and in some cases, native \u2013 integrations with tools such as Prometheus Exporter, FluentBit<\/a>, Helm Chart, Service Broker, Operator Metering, Istio Service Mesh, CoreDNS, GlusterFS, Ceph, Portworx, CNI. These are all fully certified and supported by the product.<\/p>\n

MongoDB Enterprise Kubernetes Operator does not natively support all of these integrations. Service Broker and Helm Chart are extensions to MongoDB Atlas, but not for MongoDB Kubernetes Operator.<\/p>\n

Architecture<\/h2>\n
<\/div>\n

\"An<\/p>\n

Figure 2: Architecture of Couchbase Autonomous Operator for Kubernetes<\/em><\/p>\n

Couchbase Autonomous Operator is truly cloud-native and is based on the standard cloud-native Operator Framework. As a full-fledged product, all the operations are performed by Couchbase Autonomous Operator, whether it’s database provisioning, backup\/restore, alerts\/monitoring or native integrations with open source projects such as Prometheus or OSB API.<\/p>\n

Couchbase Autonomous Operator provides a safety net for customers deploying on Kubernetes and simplifies Couchbase deployment with an admission controller with role-based access control (RBAC)<\/a>.<\/p>\n

\"An<\/p>\n

Figure 3: Architecture of MongoDB Enterprise Kubernetes Operator. Source<\/a><\/em><\/p>\n

MongoDB Enterprise Kubernetes Operator is a wrapper around the MongoDB Ops Manager which itself<\/em> is a wrapper around the MongoDB database. On the other hand, Couchbase Autonomous Operator is not a wrapper but a full-fledged utility product that extends Couchbase’s automation capabilities in the cloud<\/a> to provide fully managed deployments.<\/p>\n

MongoDB Enterprise Kubernetes Operator architecture is not cloud-native. Each Day-2 operation is performed not directly by MongoDB Kubernetes Operator but through MongoDB Ops Manager, including provisioning, backup\/restore, alerts\/monitoring, etc. MongoDB Enterprise Kubernetes Operator also doesn’t have an admission controller.<\/p>\n

Operator Maturity Level<\/h2>\n

There are five maturity levels of any given Kubernetes Operator:<\/p>\n