1. Built in AI + postgres together

2. Cloud native automation - works smoothly with kubernetes

3. Strong security, monitoring and performance enhancements Review collected by and hosted on G2.com.

1. Cost and effort overhead

2. Initial complexity and learning curve - it felt complicated to setup and understand at first

3. Performing major version upgrades or complex cluster operations Review collected by and hosted on G2.com.

I use EDB Postgres AI for CloudNativePG as my go-to managed PostgreSQL because it seamlessly combines enterprise-grade PostgreSQL compatibility with cloud native environments. The level of automation is impressive, particularly the automated high availability and failovers as well as AI-driven performance, which reduce operational risk and improve the overall system. The initial setup was smoother than expected. Review collected by and hosted on G2.com.

In certain advanced scenarios, there's a lack of document depth. There should be more end-to-end architecture examples and some real-world scenario walkthroughs. Review collected by and hosted on G2.com.

I like the way EDB Postgres AI for CloudNativePG provides solutions. The interface is enjoyable to explore, and the way it manages automatic repositories in a cloud-native manner is a big help for our CI/CD processes. Databricks code integration also helps me a lot. Review collected by and hosted on G2.com.

I found the initial setup wasn't easy for us. Review collected by and hosted on G2.com.

We do not need to setup another VM for each Workload requiring a Relational DB. Setting up a EDB CNP is really easy now. Just by the input of some basic properties the operator spins up a Postgres Cluster on its own and in combination with the ClusterImageCatalog patching the Clusters is very easy since the operator is conducting a rolling restart of the pods on its own on updating the Catalog. We also like the many options the Operator already provides in configuring the Postgres Cluster. Cudos also to the Operator which has become much more stable since we started initially ~2 years ago. Review collected by and hosted on G2.com.

We are still missing major upgrades on the Clusters in a user friendly way. I know there is progress on EDB's Development making customers life more easy, but we are still eagerly awaiting it. The current solution based on replicating data to a new cluster with a higher major version is far too complicated and time consuming for a bunch of Clusters. Besides we are missing the ClusterImageCatalog formerly provided here https://raw.githubusercontent.com/EnterpriseDB/docker-postgresql/refs/heads/main/image-catalogs/ClusterImageCatalog-ubi9.yaml It was very handy to pull this Catalog and apply it to the Cluster using Terraform and with that triggering the operator to patch all Clusters. Review collected by and hosted on G2.com.

We are using the Native Postgres SQL in order to store and process the Data from our CAQ Software and distributing the Data to other systems like ERP & MES. We have been using this approach for years with many clients and have never had problems or unscheduled downtimes. From another technical point of view, it supports a high number of Datatypes which is highly beneficial for building business rules. Review collected by and hosted on G2.com.

Quality has its price. I wish there would be a price adjustment especially when we have a lot of subscriptions. Other than that, there is nothing I can complain about. Review collected by and hosted on G2.com.

easy to run on OpenShift/Kubernetes easy Patchupdates Databases are highly available increasing and fast development of additional features Review collected by and hosted on G2.com.

usage of more resources due to the higher availability Review collected by and hosted on G2.com.

The rapid development reliably delivers new features that are of interest to us. Review collected by and hosted on G2.com.

The sequential operation of the operator. Review collected by and hosted on G2.com.

I like that I can integrate it directly with the kubernates API server for HA architecture without the need for an outside tool. I can also deploy replicas of PostgreSQL over multiple Kubernetes clusters to enable either public or multi-cloud architecture.

EDB cloud-native PostgreSQL is very extensible I have been able to scale it either up or down depending on the need at the time. I also love that it is so powerful; it is what attracted me to it. Review collected by and hosted on G2.com.

Everything about EDB cloud-native PostgreSQL has been quite satisfying except that configuring a service to avail Postgres through TCP for apps residing outside the Kubernetes is a bit challenging, making more tutorials on that would help. Review collected by and hosted on G2.com.

Postgres edb cloud native is early easier to use and has good user interface to use to help in good management of database. I like its capability to support different languages without limitation. You can define your own function to enhance data storage. It supports huge data, hence is favorable to every company. Review collected by and hosted on G2.com.

Postgres adb cloud native has been the best and effective tool for database management. It has never failed me and provides expected results. The features are superbly incorporated and easier to use. Review collected by and hosted on G2.com.

I have enjoyed every moment working with adb cloud native. It has been easier to use and learn as long as I am concerned. It has enabled me to develop and design proper databases using fantastic features incorporated in this tool. It has an interactive user interface with content placed well for easier management of databases. It is open source, hence one can get it and try it. It supports different programming languages, hence does not limit developers and database administrators in achieving their intended purpose. Review collected by and hosted on G2.com.

For all that period I have been working with this tool, it has showed greatness in all my database management and development. It has never failed me even a single minute. Review collected by and hosted on G2.com.