Today, we announced that AnzoGraph™ is now available on Kubernetes. By deploying in the Kubernetes environment, you can easily define and install our Massively Parallel Processing (MPP) graph database in cluster on-demand to meet the scale and size of the data. Should those needs change, you can quickly spin up and down AnzoGraph clusters with the latest versions. We think that by integrating AnzoGraph in a microservices architecture, it represents a game changer for database deployment. On-Demand, data driven scale-out deployments are just easier in Kubernetes with its tooling like helm and operators.
Kubernetes has been rapidly maturing into the leading management layer for docker containers. There’s some great work happening where the Kubernetes ecosystem have provided a robust, secure architecture. Advancements like Helm provide handy command-line-based release management. More importantly, intelligent Kubernetes operators allow seamless enterprise integration of DBaaS. The intelligent operator architecture enables users to start simple with a single AnzoGraph node and then easily scale up and out just by providing the deployment specification to the AnzoGraph operator that automatically manages the deployment.
As Zeppelin and Jupyter notebooks are very popular in the data scientist and analyst community, AnzoGraph supports both. With them, you can create projects, include data preloaded in the project and share it with your colleagues. Cambridge Semantics offers a free docker container that provides an enhanced Zeppelin that allows SPARQL based notebooks.
The latest version of AnzoGraph allows for a wider array of deployment options by supporting containers with Docker and Kubernetes support. You can get a free trial and instructions for using our containerized version at AnzoGraph.com.