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 | Spark #1 | [GoogleCloudPlatform/spark-on-k8s-operator](https://github.com/GoogleCloudPlatform/spark-on-k8s-operator) | Kubernetes CRD operator for specifying and running Apache Spark applications idiomatically on Kubernetes. |
 | Spark #2 | [jvm-operators/spark-operator](https://github.com/jvm-operators/spark-operator) | ConfigMap-based operator for deploying ephemeral Apache Spark clusters and intelligent applications that spawn their own Spark clusters natively on Kubernetes and OpenShift. |
 | Spark #3 | [mesosphere/kudo-spark-operator](https://github.com/mesosphere/kudo-spark-operator) | An Operator for Apache Spark built using [KUDO](https://kudo.dev) |
+| StackGres | [ongres/stackgres](https://github.com/ongres/stackgres) | Enterprise PostgreSQL made easy, on Kubernetes. Discover all the [StackGres](https://stackgres.io) features |
 | StorageOS | [storageos/cluster-operator](https://github.com/storageos/cluster-operator) | StorageOS transforms commodity server or cloud based disk capacity into enterprise-class storage to run persistent workloads such as databases in containers.  The StorageOS Operator installs and manages StorageOS clusters. |
 | Stork | [libopenstorage/stork](https://github.com/libopenstorage/stork) | Stork is a Cloud Native storage orchestration runtime scheduler plugin. It translates a scheduler's orchestration decisions into someting that an external cloud native storage solution can act upon. By doing so, it extends Kubernetes with more stateful awareness of the underlying storage provider, it's capabilities and state.
 | Tensorflow | [kubeflow/tf-operator](https://github.com/kubeflow/tf-operator) | Tools for ML/Tensorflow on Kubernetes. |