# EDB Postgres AI for CloudNativePG Reviews **Vendor:** EnterpriseDB (EDB) **Category:** [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms) **Average Rating:** 4.3/5.0 **Total Reviews:** 28 ## About EDB Postgres AI for CloudNativePG Enhance EDB Postgres AI (EDB PG AI) deployments on Kubernetes with automation, streamlined Day 2 operations, and self-healing architectures using enterprise-grade Kubernetes operators. EDB PG AI for CloudNativePG facilitates the lifecycle management of highly available, secure, enterprise-grade Postgres database clusters on Kubernetes. THE CHALLENGE: Kubernetes accelerates the future—but also introduces complexity that can slow you down. Deployment complexity: Infrastructure teams manage many different systems at scale. Introducing a new database only adds to the complexity. Platform engineers need solutions that are ready, with cloud-native tooling and easy CI/CD integration. Operational overhead: Smooth operations when running Postgres on Kubernetes require knowledge and expertise in both container and database technology. Consistent operations can be hampered by human error and lack of expertise. Costly downtime: Mission-critical applications require data that is consistent, compliant, and complete—without sacrificing performance. Distributed databases are a good solution for high availability, but also introduce a lot of operational complexity. EDB delivers the highest confidence for your data-intensive workloads on Kubernetes with: Cloud-native automation: Automate database administration across regions and distributed cluster operations. Deploy, manage, and monitor Postgres and streamline operational workflow tasks using a declarative configuration with the Kubernetes API. Consistent operations: Use Postgres on Kubernetes with confidence by eliminating human error through consistent deployment of data services. EDB’s deep expertise in Postgres and Kubernetes is a vital resource for keeping your organization aligned and up to date on the best cloud-native practices. Self-healing architecture: Automate recovery and rejoin of failed Postgres nodes, removing operational overhead associated with manually restarting nodes. Quickly restore functionality with automated failover, backup, recovery, and rolling upgrades. ## EDB Postgres AI for CloudNativePG Pros & Cons **What users like:** - Users value the **enterprise-grade PostgreSQL capabilities** of EDB Postgres AI for CloudNativePG for seamless integration in Kubernetes. (3 reviews) - Users value the **seamless integration of enterprise PostgreSQL capabilities** into Kubernetes, enhancing reliability and developer agility. (2 reviews) - Users value the **seamless integration of enterprise PostgreSQL capabilities** within a Kubernetes-native environment, enhancing operational efficiency. (2 reviews) - Users value the **high availability** of EDB Postgres AI for CloudNativePG, ensuring reliable performance for mission-critical databases. (2 reviews) - Users praise the **seamless performance** of EDB Postgres AI, enhancing their Kubernetes-native experience and operational smoothness. (2 reviews) - Backup (1 reviews) - Users value the **seamless data sharing** capabilities of EDB Postgres AI, enhancing integration with various systems reliably. (1 reviews) - Users value the **ease of use** of EDB Postgres AI, finding it simple to manage on OpenShift and Kubernetes. (1 reviews) - Users value the **easy integrations** of EDB Postgres AI for CloudNativePG, streamlining setup and configuration of databases. (1 reviews) - Flexibility (1 reviews) **What users dislike:** - Users note the **expensive licensing** for EDB Postgres AI, making it less suitable for smaller teams or startups. (3 reviews) - Users face a **steeper learning curve** with EDB Postgres AI, requiring prior knowledge across multiple technologies for effective use. (3 reviews) - Users find the **overwhelming features** of EDB Postgres AI cumbersome, with complexity hindering productivity for smaller teams. (3 reviews) - Users find EDB Postgres AI for CloudNativePG to be **expensive** , with increased operational overhead and a steep learning curve. (2 reviews) - Users find the **complex pricing** of EDB Postgres AI adds friction, making initial setup and learning more challenging. (1 reviews) - Cost Concerns (1 reviews) - Users find the **difficult learning curve** due to complex upgrades and absence of helpful resources like the ClusterImageCatalog. (1 reviews) - Limitations (1 reviews) - Users find the current upgrade process **not user-friendly** , leading to complications and delays in managing clusters. (1 reviews) - Users express frustration over **poor management** of upgrades in Clusters, finding current solutions complicated and time-consuming. (1 reviews) ## EDB Postgres AI for CloudNativePG Reviews ### 1. Kubernetes-Native Postgres Operator That Fits GitOps/CI-CD Workflows **Rating:** 3.0/5.0 stars **Reviewed by:** Manav M. | System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 09, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** Oracle compatibility and declarative database management fit cleanly into modern GitOps/CI-CD workflows. For me, it’s the combination of deep Postgres expertise baked into a truly Kubernetes-native operator, rather than a Postgres tool that feels awkwardly adapted for containers. **What do you dislike about EDB Postgres AI for CloudNativePG?** Logical replication during major upgrades still has real gaps. Although the upgrade path has improved, there are notable limitations, so schema changes, sequences, and LOBs often need to be handled manually as part of the upgrade process. EDB Postgres Extended is also notably restricted for teams running on ARM-based infrastructure, which reduces the available options. These architecture constraints limit flexibility: all nodes in a Kubernetes cluster must use the same CPU architecture, so hybrid CPU-architecture Kubernetes clusters are not supported. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Less infrastructure overhead, fewer outages, and simpler day-to-day database operations—especially for teams already running Kubernetes. It also helps reduce downtime by providing automatic, continuous backup and restoration with near-zero data loss, along with fast, efficient switchover from replicas. Finally, it helps eliminate VM sprawl. ### 2. Powerful AI Features, Tough Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Vaheed S. | Associate, Mid-Market (51-1000 emp.) **Reviewed Date:** March 08, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I like the feature where we can build Gen AI application directly on EDB Postgres AI for CloudNativePG. The scaling of AI models within the database is another aspect I appreciate. The Unified workloads feature, allowing for both traditional transactional queries and AI tasks on the same platform, stands out to me. Additionally, I like the hybrid data manager feature. With these capabilities, it's useful for handling growing chatbot data and supports vector search, which is widely used for AI applications. **What do you dislike about EDB Postgres AI for CloudNativePG?** It's very difficult to create initial setup and configuration database for AI workloads due to improper documentation, so I'd like to improve the document's content. There are some advanced features in EDB, but due to lack of documentation, we are not aware of how to use them. The PostgreSQL uses one primary writer node with multiple read replicas which becomes a bottleneck for very high write workloads. It should follow similar to Google Spanner so that we scale horizontally. It's very hard to set up initially without any expert in PostgreSQL. The challenge we faced is how to configure replications and containers, and it's very difficult to configure security as well. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI for CloudNativePG enables easy database scaling and supports vector search for AI applications. It auto-backs data for recovery during failovers and allows searching with vector similarity and traditional SQL. ### 3. Streamlines Postgres Management in Kubernetes **Rating:** 4.5/5.0 stars **Reviewed by:** tushar b. | GenAI Associate-Projects , Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I have been exploring EDB Postgres AI for CloudNativePG for managing PostgreSQL databases in Kubernetes environments, and overall the experience has been quite positive. I like its cloud-native architecture, which makes it easier to deploy and manage PostgreSQL clusters directly in Kubernetes. The integration with CloudNativePG provides better automation for tasks like scaling, failover, and backup management. Its AI-assisted management and monitoring capabilities help in identifying performance issues and optimizing database workloads. I also appreciate its seamless integration with Kubernetes and its automation capabilities, which simplify PostgreSQL cluster management, improve scalability, and provide helpful insights for performance monitoring. These features make database operations more efficient, reducing manual work and maintaining a reliable and scalable PostgreSQL environment. **What do you dislike about EDB Postgres AI for CloudNativePG?** The initial setup can be a bit complex, especially for users who are new to Kubernetes. Improving the documentation and providing more beginner-friendly guides would make the onboarding process easier. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI for CloudNativePG simplifies managing PostgreSQL in Kubernetes by automating tasks like deployment, scaling, failover, and monitoring. It reduces manual work, optimizes database performance, and allows for easy operation in cloud-native environments. ### 4. Automates PostgreSQL on Kubernetes Effortlessly **Rating:** 4.0/5.0 stars **Reviewed by:** Shreya S. | Associate Data Engineer , Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I use EDB Postgres AI for CloudNativePG to manage my PostgreSQL databases on Kubernetes effortlessly. It automates cluster deployment, scaling, backups, and failover, which reduces my manual effort significantly. I like how much it simplifies running PostgreSQL in Kubernetes, and the automation saves me a lot of time. The high-availability features are a big plus, providing reliability and confidence in production. The declarative configuration integrates smoothly with GitOps workflows, making operations more predictable and consistent. Overall, it's well-suited for production Kubernetes environments. **What do you dislike about EDB Postgres AI for CloudNativePG?** One thing that could be improved with EDB Postgres AI for CloudNativePG is the learning curve — it can feel complex at first if you’re new to Kubernetes operators. Some advanced operations and version upgrades also require careful planning, which can add overhead. Simplifying documentation and easing major PostgreSQL version upgrades would make the experience even better. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI for CloudNativePG automates PostgreSQL operations in Kubernetes, saving manual effort and minimizing downtime. It simplifies cluster deployment, failover, scaling, and backups while improving reliability and consistency, making production database operations more efficient. ### 5. Enterprise-Ready Solution for Cloud-Native PostgreSQL **Rating:** 4.0/5.0 stars **Reviewed by:** Vishal S. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 03, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I like the strong integration with Kubernetes and the automation it provides for managing PostgreSQL clusters. The automated failover and high availability features give us confidence that our databases remain stable even during node failures. Another standout aspect is the intelligent performance insights. The AI-driven recommendations help identify slow queries and configuration improvements, which reduces the time spent on manual troubleshooting. I also appreciate the declarative configuration model, which aligns well with DevOps practices and infrastructure-as-code workflows. It makes deployments more consistent and easier to manage across environments. Overall, the combination of enterprise-grade reliability with cloud-native flexibility is what stands out the most. **What do you dislike about EDB Postgres AI for CloudNativePG?** While the overall experience has been positive, there are a few areas that could be improved. The initial setup and advanced configuration can feel complex, especially for teams that are new to Kubernetes or CloudNativePG. Some scenarios require deeper understanding of PostgreSQL internals and cluster architecture. Additionally, clearer documentation for certain advanced use cases and tuning parameters would be helpful. Although the documentation is generally good, more practical examples or real-world deployment guides would make onboarding easier. Improved visibility into pricing tiers and feature differences would also help teams plan better before adopting it at scale. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI for CloudNativePG reduces operational complexity by automating PostgreSQL management in Kubernetes, minimizing downtime and errors. It enhances visibility into performance metrics, optimizing queries to prevent application bottlenecks. It addresses challenges in high availability, cluster management, and performance tuning. ### 6. Kubernetes-Native PostgreSQL Made Simple with Cloud Native PG + EnterpriseDB **Rating:** 4.0/5.0 stars **Reviewed by:** Akshay S. | Customer Delight Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** February 21, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** 1) Kubernetes-native design with Cloud Native PG. 2) Enterprise-grade PostgreSQL capabilities backed by EnterpriseDB. 3) Strong alignment between AI initiatives and the data platform. 4) Operational simplicity that makes day-to-day work easier for DevOps teams. **What do you dislike about EDB Postgres AI for CloudNativePG?** 1. Complexity for Smaller Teams While powerful, this stack can feel heavy for small development teams, simple apps without strict SLAs, or projects that don’t need fully Kubernetes-native database operations. In those cases, some teams end up spending more time on configuration and platform work than on building application features. 2. Steeper Learning Curve Because it blends PostgreSQL internals, Kubernetes operators and CRDs, and cloud-native tooling, new users often need training or prior experience across all three areas. That combination can slow onboarding and make it harder to get productive quickly. 3. Resource Overhead Running a full Kubernetes-native PostgreSQL setup (even with automation) generally requires more compute and network resources than a simple managed database, plus careful planning around storage classes, affinities, and node sizing. As a result, it’s not always the most cost-efficient choice for lightweight workloads. 4. Ecosystem Support Can Be Mixed Although the Cloud native pg operator is solid, some third-party tools or monitoring integrations don’t work as seamlessly out of the box as they do with mainstream managed services (e.g., AWS RDS or Azure Database for PostgreSQL). Certain extensions or edge use cases can also require extra validation or tuning. 5. Vendor & Feature Expectations EDB adds enterprise features, but those enhancements can come with licensing or support tiers, and the full benefit isn’t always free or open source. Teams evaluating “Postgres AI” features should carefully confirm what’s included versus what sits behind commercial plans. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** 1) Problem: Running PostgreSQL in Kubernetes Is Hard Traditional PostgreSQL wasn’t built for Kubernetes. Deploying, scaling, backing up, and ensuring high availability in a cloud-native environment often requires a lot of custom tooling and manual effort. How Cloud native pg Solves It It uses Kubernetes operators and CRDs to represent PostgreSQL clusters as native Kubernetes objects. It automates provisioning, failover/recovery, backups and restores, and upgrades and scaling. Benefit You get self-healing, cloud-native PostgreSQL without having to reinvent operational tooling. DevOps/Platform teams spend less time on database plumbing and more time delivering features. 2) Problem: Enterprise PostgreSQL Needs More Than OSS Vanilla PostgreSQL is powerful, but large organizations often need enhanced security, advanced performance tools, enterprise support, and compliance features. How EDB Enhances PostgreSQL EDB’s distribution builds on PostgreSQL with performance monitoring and tuning tools, additional security hardening, disaster recovery features, and professional enterprise support options. Benefit Organizations get enterprise-grade operational and support capabilities that reduce risk in production. Teams feel more confident running SLA-bound systems. 3) Problem: Backups, Failover & DR Workflows Are Painful In a cloud-native world, things fail: pods crash, storage misbehaves, and nodes go down. Traditional approaches often rely on custom scripts or external tools. How EDB Postgres AI Helps It automates backups, point-in-time recovery, and replication. It integrates with Kubernetes storage and orchestration primitives, and it handles failover and election processes more seamlessly. Benefit You get higher resilience with less manual intervention during outages, plus faster recovery with more predictable behavior. 4) Problem: Operational Overhead for Dev & Ops Teams Without a unified solution, teams end up juggling multiple tools: separate schedulers, monitoring stacks, custom scripts for backups, and manual scaling plans. How This Stack Helps Everything is managed through Kubernetes APIs, and it integrates with existing cloud-native tooling (metrics, logs, GitOps). This reduces context switching and keeps operations more consistent. Benefit Teams gain consistency and predictability, especially in multi-cluster or multi-environment setups. Support for GitOps patterns also improves auditability and reproducibility. 5) Problem: Emerging Workloads (AI, Analytics) Want More Modern applications—especially those involving data analytics, AI/ML, and real-time insights—place new demands on databases. How “Postgres AI” Fits In It enables AI/ML-friendly workflows, supports emerging extensions and vector-like data patterns, and positions Postgres as a more multi-purpose data platform. Benefit You can build data-rich applications without switching to entirely new stores. It can also simplify architecture by using PostgreSQL as a single source for relational and analytical data. Overall Benefit Summary Hard Kubernetes Postgres ops: less manual work, more automation. Lack of enterprise features: a more secure, performant, and supported database. Complex backups and DR: better resilience and quicker recovery. Disjointed operational tooling: more unified workflows and GitOps compatibility. Modern application demands: a more future-ready data platform foundation. How This Benefits You (or Your Team) There’s less firefighting because many routine tasks are automated. Reliability improves because you can trust the database more in production. Delivery is faster because developers spend more time on features and less on ops. Scalability is smoother as applications grow, and teams align better because Dev, Ops, and SRE can share the same workflows. ### 7. Enterprise-Grade PostgreSQL That Feels Truly Kubernetes-Native **Rating:** 5.0/5.0 stars **Reviewed by:** Mukesh P. | Application Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 16, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** What I like best about EDB Postgres AI for CloudNativePG is how seamlessly it brings enterprise PostgreSQL capabilities into a truly Kubernetes-native environment. It preserves the declarative, operator-driven model while adding production-grade features like advanced security, high availability, observability, and performance tooling. The integration feels natural rather than layered on, which makes day-two operations smoother. I especially appreciate the balance between open-source flexibility and enterprise support, enabling teams to scale confidently, modernize workloads, and run mission-critical databases in Kubernetes without sacrificing reliability, governance, or developer agility. **What do you dislike about EDB Postgres AI for CloudNativePG?** One downside of EDB Postgres AI for CloudNativePG is the added complexity that comes with enterprise layering. While the additional features are powerful, they can increase operational overhead compared to running a lightweight, community-only PostgreSQL setup. Licensing and pricing may also be a concern for smaller teams or startups that don’t need advanced enterprise capabilities. There can also be a learning curve when integrating advanced security, observability, or performance tooling into existing Kubernetes workflows. For teams already comfortable with pure open-source stacks, the shift toward a more platform-driven approach may feel heavier than necessary. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI for CloudNativePG solves the challenge of running enterprise-grade PostgreSQL reliably inside Kubernetes without sacrificing operational control or compliance. One major problem it addresses is **production readiness in cloud-native environments**. Managing backups, failover, scaling, security, and observability for stateful workloads in Kubernetes can be complex. The platform streamlines these capabilities, reducing operational risk and minimizing downtime. It also solves **governance and security gaps** by adding enterprise-grade controls that many organizations require for regulated or mission-critical workloads. For me, the biggest benefit is confidence: I can run PostgreSQL in Kubernetes with automation, resilience, and enterprise support built in—freeing time to focus on application innovation rather than database firefighting. ### 8. Robust Automation for High Availability and Scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Kanika G. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 06, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I like EDB Postgres AI for CloudNativePG for its robust automation for high availability and self-healing failovers. The rolling updates and continuous backup features stand out, as they ensure zero-downtime deployments and effortless point-in-time recovery in Kubernetes environments. It truly simplifies scaling PostgreSQL for microservices without the overhead of traditional VM management. Additionally, using it with Kubernetes, Helm, and monitoring tools like Prometheus/Grafana helps automate deployment and monitor PostgreSQL clusters effectively. **What do you dislike about EDB Postgres AI for CloudNativePG?** I don't like the steep learning curve for Kubernetes novices, which slows down the setup. Major upgrades are complex and manual. The resource use feels high for small workloads. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** I use EDB Postgres AI for CloudNativePG to ensure seamless high availability, automate self-healing failovers, and simplify scaling and lifecycle operations in microservices setups. It eliminates downtime risks and facilitates point-in-time recovery, boosting reliability for enterprise workloads in cloud-native environments. ### 9. Automates and Simplifies PostgreSQL in Kubernetes **Rating:** 5.0/5.0 stars **Reviewed by:** Manoj K. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 09, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I like EDB Postgres AI for CloudNativePG because it automates PostgreSQL deployment and management in Kubernetes. It simplifies tasks like scaling, backups, and recovery while maintaining high availability and reliability. The automation reduces manual operational efforts, improving database reliability and minimizing downtime. This allows us to focus more on application and data development instead of routine database management. Its strong automation, scalability, and Kubernetes integration are particularly beneficial for managing PostgreSQL clusters. **What do you dislike about EDB Postgres AI for CloudNativePG?** The initial setup can be complex, especially for teams new to Kubernetes. Documentation and troubleshooting guidance could be more detailed, and the initial setup and learning curve could be improved. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI for CloudNativePG automates PostgreSQL deployment and management, reduces manual operational effort, and enhances database reliability and availability in a Kubernetes environment, allowing my team to focus more on application and data development. ### 10. Practical Postgres with Better Performance, Smarter Insights, and Easier Tuning **Rating:** 4.5/5.0 stars **Reviewed by:** Colin B. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 07, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** I like EDB Postgres AI because it feels practical. You get trusted Postgres plus better performance, smarter insights, easier tuning, and fewer surprises in day to day work **What do you dislike about EDB Postgres AI for CloudNativePG?** The downside of EDB Postgres AI is it can feel complex at first. There is a learning curve, some features feel overkill, and costs and setup can add friction early on **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** EDB Postgres AI solves performance tuning and reliability pain points by adding smarter insights and automation. As a data engineer, I spend less time firefighting and more time buildinG ### 11. Simplifying AI and PostgresSQL in Kubernetes **Rating:** 3.5/5.0 stars **Reviewed by:** Kishita G. | Senior data engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** 1. Built in AI + postgres together 2. Cloud native automation - works smoothly with kubernetes 3. Strong security, monitoring and performance enhancements **What do you dislike about EDB Postgres AI for CloudNativePG?** 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 **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** It let us run AI related workloads Makes postgres easy to run at scale on kubernetes with automated high availability Handles backup, monitoring and scaling ### 12. Smooth PostgreSQL Management for Cloud Environments **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Architecture & Planning | Mid-Market (51-1000 emp.) **Reviewed Date:** March 03, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** 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. **What do you dislike about EDB Postgres AI for CloudNativePG?** 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. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** I use EDB Postgres AI for CloudNativePG to manage PostgreSQL's operational complexity in Kubernetes and cloud-native environments. It offers automation, high availability, and AI-driven performance, reducing operational risk and integrating enterprise-grade compatibility with cloud-native features. ### 13. Efficient Automation with Room for Setup Improvement **Rating:** 5.0/5.0 stars **Reviewed by:** Manoj k. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2026 **What do you like best about EDB Postgres AI for CloudNativePG?** 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. **What do you dislike about EDB Postgres AI for CloudNativePG?** I found the initial setup wasn't easy for us. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** I use EDB Postgres AI for CloudNativePG to automate coding problems and manage automatic repositories in a cloud-native manner, helping with CI/CD. ### 14. Postgres for Kubernetes - an efficient way of operating DBs **Rating:** 4.0/5.0 stars **Reviewed by:** Simon R. | IT Operations Expert, Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2025 **What do you like best about EDB Postgres AI for CloudNativePG?** 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 it's 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. **What do you dislike about EDB Postgres AI for CloudNativePG?** 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 awating it. The current solution based on replicating data to a new cluster with a higher major version is far to 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. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** We do not need to setup a dedicated VM or even more than one VM for every database. This is lowering the effort to patch it regularly e.g. Thanks to EDB we can spin up a cluster for every single application reducing the dependencies and complexity when it comes to organise DB maintenance on one single DB with just Schemas in the past ### 15. Excellent PostgresSQL processing exchaning Data with other system **Rating:** 4.0/5.0 stars **Reviewed by:** Mohammed H. | MES Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** April 10, 2025 **What do you like best about EDB Postgres AI for CloudNativePG?** We are using the Native Postgress SQL in order to store and processs the Data from our CAQ Softare and distributing the Data to other system like ERP & MES . We are using this approach for years on many clients and never had problems or unscheduled downtimes. From another technical point of view it supports a high number of Datatypes which is highly benetfitial for builduing bunsiness rules. **What do you dislike about EDB Postgres AI for CloudNativePG?** Quality has its price. I wish there would be a Price adjustment especially when we have a lot of subscription. Other than that there is nothing I can complaint about. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** We are using the Native Postgress SQL in order to store and processs the Data from our CAQ Softare and distributing the Data to other system like ERP & MES ### 16. Works smooth, good Information on the EDB Site, good support **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Electrical/Electronic Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2025 **What do you like best about EDB Postgres AI for CloudNativePG?** easy to run on OpenShift/Kubernetes easy Patchupdates Databases are highly available increasing and fast development of additional features **What do you dislike about EDB Postgres AI for CloudNativePG?** usage of more ressources due to the higher avaliablity **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Avaliablity of SQL Databases in a container environment giving us way less downtime in a environment heavily used for manufacturing purposes ### 17. Satisfied **Rating:** 4.0/5.0 stars **Reviewed by:** Manuel S. | Senior Systems Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 22, 2025 **What do you like best about EDB Postgres AI for CloudNativePG?** The rapid development reliably delivers new features that are of interest to us. **What do you dislike about EDB Postgres AI for CloudNativePG?** The sequential operation of the operator. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** I don't understand the question. ### 18. There is not a more powerful and extensible open source relational database . **Rating:** 4.5/5.0 stars **Reviewed by:** Aanav K. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 05, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** 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. **What do you dislike about EDB Postgres AI for CloudNativePG?** 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. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** It is a very scalable relational database with top security. Generally, it is great. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** It offers automatic and continuous backup and restoration, leaving us with zero chances of data loss. Switching over from the replica is easy and efficient and fast. ### 19. It will make a difference in your development future if you decide to use it **Rating:** 4.0/5.0 stars **Reviewed by:** Sara B. | Database Administrator, Enterprise (> 1000 emp.) **Reviewed Date:** April 14, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** Postgres edb cloud native is early easier to use and has good user interface to use to help in gyood management if database. U like it's capability to support different languages without limitation. You can define you own function to enhance in data storage. It has support huge data hence is favorable to every company **What do you dislike about EDB Postgres AI for CloudNativePG?** Postgres adb cloud native has been the Best and effective tool for database Managemrnt. It has never failed me and provide expected results. The features are superbly incorporated and easier to use. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** Iwould definitely advice companies and individual to use this tool because its very effective and efficient. This tool will not fail you and bring success and progressive outputs to the company **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** I have managed to design, administers and manage database with ease and productivity has been improved greatly Backup and recovery method has greatly help in securing data ### 20. Greatness comes from great tool like adb cloud native postgres **Rating:** 2.0/5.0 stars **Reviewed by:** Mathew C. | Database Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** I have enjoyed every moment working with adb cloud native. It has been easier to use and learnvasvlong I am concerned. Has enabled me to develop and design proper database using fantastic features incorporated inbtuis tool. Has an interactive userbintertace with content placed well for easier management of database. It is open source hence one can get it and try it. It support different programming languages hence doesbnot limit developers and database administrator achieving their intended purpose. **What do you dislike about EDB Postgres AI for CloudNativePG?** 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. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** I will always recommend this toolbto everyone for what it has done for me. My faith in this tool has madevme to grow gradually as database developer **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Data i s secured by security features bicolor eyed in thethe tool. Data loss due to theft or malware is minimal and this is due yo the capability of backup. Productivity I.e database development is enhanced fue to extensive features this tool has ### 21. As a developer, I can implement business rules easily because of its rich set of data types. **Rating:** 4.5/5.0 stars **Reviewed by:** Christopher P. | Senior Test Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 02, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** I love that it has a rich set of data types to choose from that makes it easy for developers to implement business rules. I can also deploy it anywhere and use the same container images from EDB and use the same deployment files. Furthermore, If I need to troubleshoot a copy of the database, I can do that even from a desktop with software like Kubernetes and Docker. **What do you dislike about EDB Postgres AI for CloudNativePG?** I have to manage some aspects of the operations by myself because it carries lightweight data, other than that it has served me well and therefore have no more complaints about it. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** It has several features that help you back up and recover data, detect a failure and fall over and it has commands to deploy and configure data. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** I can control who and how applications connect to PostgreSQL by using pg-HBA configuration settings. We have been able to develop advanced features our customers need in their database hence building on the customers' trust. I can choose whether to do all documents such as create table customers or use semi-structured data models that I can easily evolve with application needs. ### 22. Efficient Way to Manage PostgreSQL workloads **Rating:** 4.5/5.0 stars **Reviewed by:** Laurie T. | Director of IT, Enterprise (> 1000 emp.) **Reviewed Date:** March 23, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** It delivers high efficiency while sticking to DevOps main principles of collaboration, automation and continuous improvement. It also provides seamless integration with Kubernetes making it stand out because of the advanced cluster Kubernetes resource feature. You don't have to worry about changes in the primary role of the service operator after a switchover because all applications in the same Kubernetes cluster have access to the PostgreSQL database. **What do you dislike about EDB Postgres AI for CloudNativePG?** The EDB cloud native PostgreSQL is a robust operator and has exhibited peak performance while we've been using it and therefore there are no dislikes to point out at the moment. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** The operator works well in managing PostgreSQL workloads and it is great in executing failovers, it is worth trying. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** The elephant benefit that we enjoy with the cloud native PostgreSQL is the automated failover from Kurbenetes (to a very reliable backup system). It also performs efficiently DBA lifecycle tasks. ### 23. Reliable and Powerful SQL Server **Rating:** 4.0/5.0 stars **Reviewed by:** Shayan G. | Business Development Manager, Enterprise (> 1000 emp.) **Reviewed Date:** March 01, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** It's a very powerful database in the relational database domain , very much comparable to Oracle with a few refined features and functionalities. I like that it is open source, so you can try it out before you deploy it for your mission-critical apps. The query performance is decent with low latency. Even though it's a relational database , it allows to store JSON files because if which it makes it easy to deal with unstructured data. **What do you dislike about EDB Postgres AI for CloudNativePG?** It's still not compatible to store all data types like a NoSQL database. The initial infra setup and configuration takes a lot of time. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** We are using Postgres on AWS for many of our customer facing apps and client projects. It's cost effective as compared to other NoSQL databases and works for majority of our applications. We don't have to invest a lot of time and resources for upscaling and downscaling the database. It's a quite stable database ensuring our applications's uptime and stability as well. ### 24. It's like a ninja of database management with it's self healing capability. **Rating:** 4.5/5.0 stars **Reviewed by:** anelle s. | Finance Manager , Logistics and Supply Chain, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** It's magnificent with self repair of database and data recovery. Very available on different environment for cloud,on premise and hybrid. Excellent with SSL certification of data for it's security. Convenient with adherence to policy and rules of databases administration. Highly compatible. **What do you dislike about EDB Postgres AI for CloudNativePG?** It's an excellent database with ease of installation and migration. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** It's magnificent for it's compatibility to use with different servers. Excellent with deployment on different environment from on premise,cloud and hybrid. Great with backup and recovery of database. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Super excellent with ease of migration for oracle which infact saves time and cost. Excellent with database recovery and automated backup. Efficient with SSL certification of databases. Magnificent with data authentication. Intuitive user interface. ### 25. A compatible solution for data engineering! **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** February 25, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** The ability to work with the familiar dialect when it comes to common tasks of working with clusters, administration of users, and focus on high availability, region, instance and volume type and alternating on providers when it comes to this PostgreSQL solution. **What do you dislike about EDB Postgres AI for CloudNativePG?** I think that while the tasks are done well in the UI, there should maybe be some development on CLI and more documentation around it. Also where there can be a provisioning of the VM to assist with some specialized tasks. Also, stuff around Terraform integration, and documentation on VLAN Networking on classic infrastructure would be great. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** With EDB Cloud Native PostgreSQL we have been able to have a simple way of creating resources needed by an Amazon instance. Somebenefit is being able to create a cluster so it can be managed accordingly with specifications on settings of Instance and Volume type ### 26. Nearly at the finish line **Rating:** 5.0/5.0 stars **Reviewed by:** Maria.H A. | Data and Information Manager, Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** Parrallel computing of clusters Curate collected data for data analysis Data backup and recovery functionality to protect and restore a database. Prevents applications from accessing data while it is being updated. **What do you dislike about EDB Postgres AI for CloudNativePG?** I would like more restore points in the next releases. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** The syntax used for running the query is really easy and you will be able to handle hyge amounts of data veey efficiently. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Encryption and transfer of data at the database from a readable state. Helps interpret SQL queries Helps determine the fastest method of executing interpreted SQL queries. ### 27. Incase you are not familiar, please consult **Rating:** 5.0/5.0 stars **Reviewed by:** Ramy Helmy R. | Senior Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** Direct integration with Kubernetes API for High availability, without requiring an external tool. Self-healing capability through automated recreation of replica. **What do you dislike about EDB Postgres AI for CloudNativePG?** I can't do a mterialized view on yop of another view. Improve on implementation of materialized views. **Recommendations to others considering EDB Postgres AI for CloudNativePG:** They are pushing a different environment and I think they are going to win against all these big titans fighting each other. **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Provides application-level backups using PostgreSQL's natuve continous backup technology based on continuous WAL archiving. ### 28. I can't knock it down a point **Rating:** 5.0/5.0 stars **Reviewed by:** Chris R. | NOC Team Lead, Enterprise (> 1000 emp.) **Reviewed Date:** March 26, 2022 **What do you like best about EDB Postgres AI for CloudNativePG?** a).Self-healing through failover and automated recreation of replicas. b).planned switchovers for scheduled maintenance c).continues backup amd point-in-time recovery **What do you dislike about EDB Postgres AI for CloudNativePG?** I will refrain from giving criticism at this point. I have only praise for the solution **Recommendations to others considering EDB Postgres AI for CloudNativePG:** No doubts about the functionality of this solution. It survives the network partitions and boasts superior integrity and performance **What problems is EDB Postgres AI for CloudNativePG solving and how is that benefiting you?** Capacity management with scale up/down capabilities. Automation of patch management and security if data in-flight ## EDB Postgres AI for CloudNativePG Discussions - [What is EDB Cloud Native PostgreSQL used for?](https://www.g2.com/discussions/what-is-edb-cloud-native-postgresql-used-for) - [View EDB Postgres AI for CloudNativePG pricing details and edition comparison](https://www.g2.com/products/edb-postgres-ai-for-cloudnativepg/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-20+18%3A55%3A43+-0500&secure%5Bsession_id%5D=f7a96174-abd1-47d6-98bf-a5596d94822c&secure%5Btoken%5D=6ac7647dbb0b788a416ec317dc0b7ad2cfa2653b484eb2c52ca2063fe3484917&format=llm_user) ## EDB Postgres AI for CloudNativePG Integrations - [Kubernetes](https://www.g2.com/products/kubernetes/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) ## EDB Postgres AI for CloudNativePG Features **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Security** - Data Encryption - User Access Control ## Top EDB Postgres AI for CloudNativePG Alternatives - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) - 4.5/5.0 (354 reviews) - [Teradata Vantage](https://www.g2.com/products/teradata-teradata-vantage/reviews) - 4.3/5.0 (355 reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - 4.4/5.0 (2,115 reviews)