We are excited to announce the availability of the 1.0 release of the Open
Data Hub project .
ODH 1.0 provides the following additions and improvements:
Hue 4.8 added
SQL Cloud Assistant for developing and accessing Databases & Data
Spark Thrift Server added
Allows multiple remote clients to access Spark
KF Serving added
Used for serving machine learning models
Kubeflow Pipeline on Tekton added
Pipelines for building and deploying containerized machine learning
workflows using Tekton
Improved JupyterHub spawner UI and Volume Sharing
Please see the ODH 1.0 Blog  for more information about the release.
Given the adoption of the ODH manifest based deployment, we have removed
the legacy deployment options for ODH. ODH beta will be the landing zone
for all new features and bug fixes going forward.
ODH 1.0 also makes available several example installation templates for
deploying Kubeflow into OpenShift 4.3 or later. These should help users
who wish to customize their deployments moving forward. ODH will now be
able to deploy the latest Kubeflow release immediately without the previous
lag required for integration into ODH.
Looking ahead, the following components and capabilities are planned for
Open Data Hub 1.1 slated for release end of May 2021:
JupyterHub authentication and single user profile support for OCP groups
ODH disconnected deployment
Dataset Lifecycle framework
Component version updates for Spark and Elyra