IBM Adds Support and Kubernetes Operator for Apache CouchDB to Sync Data Across Multi-Cloud Environments

IBM has introduced a Kubernetes Operator for Apache CouchDB and support for Apache CouchDB. With this, the company says, it is helping to advance the adoption of hybrid cloud strategies and reinforcing its commitment toopen source technologies.

The announcement was made in an IBM Cloud blog post.

The Apache CouchDB Operator from IBM provides consistency and reliability in Kubernetes environments. It has achieved Red Hat OpenShift Operator Certification and is backed up by collaborative support between Red Hat and IBM. The Operator automates deploying, managing, and maintaining Apache CouchDB deployments.  

With the alignment of IBM Cloudant and Apache CouchDB, IBM says it is the only major public cloud provider that provides a flagship managed database service that can serve as a drop-in replacement for its open source upstream sibling.

IBM Cloudant, a DBaaS company, joined IBM with the intention that it would be the standard database backing new cloud native applications built in the IBM Cloud. According to IBM, Cloudant is the data backbone of IBM Cloud, and now, hundreds of thousands of service instances have been deployed, and the service manages multiple petabytes of active application data. Cloudant is the data backbone of IBM Cloud.

While Kubernetes is useful for application portability, IBM says that moving the data alongside the application can be difficult. Using CouchDB or Cloudant with Red Hat OpenShift Kubernetes deployments can enable database-native replication capabilities to maintain low latency access to data as applications are deployed and moved data across multiple cloud environments. 

CouchDB features a crash-resistant storage engine, clustering with data redundancy, and is built on the Erlang programming language, known for its fault-tolerance and error containment in real-time systems. The database’s replication protocol allows Cloudant and CouchDB to sync data, enabling clients to build sophisticated hybrid cloud data layers that provide global data distribution to move data closer to users and provide disaster recovery.

For more information, go to and