Deploy
Graph Lakehouse can be deployed on-premises or on any of the common cloud platforms. Graph Lakehouse also integrates with popular container management applications. The main selection criteria for choosing deployment options, as well as the associated server sizing and scaling, starts with the analytic applications you intend to use with Graph Lakehouse. Consider the data sources and size of the data you plan to load as well as your query performance requirements. For more information, see Sizing Guidelines for In-Memory Storage.
By default, all deployments include an embedded anonymous free edition license. The license does not expire, but it is valid for single server deployments only and it enforces a limit of 8 GB RAM usage. Though Graph Lakehouse will not use more than 8 GB RAM in the free edition version, Altair recommends that you deploy Graph Lakehouse on a host server that has at least 16 GB of RAM available. To increase the memory limit or remove all limitations, you can upgrade the license by contacting Altair Customer Support. For more information, see Install or Upgrade a License.
Use a container engine such as Docker, Podman, or Rancher to deploy Graph Lakehouse as a single server instance for testing.
Use Helm to deploy Graph Lakehouse on a local or remote Kubernetes cluster. You can deploy a single instance or multiple instances in a cluster.
Enterprise Linux 9 Deployments
Deploy Graph Lakehouse by running an installer on cloud instances or on-premise servers with a RHEL or Rocky 9 OS. You can deploy a single server or a cluster.
Use Helm to deploy Graph Lakehouse on IBM Cloud Pak.