EDB Postgres AI for CloudNativePG
Reviews
Star rating
Rank in Database Management Systems (DBMS)
Pros and cons
Pros
- Database Management
- Features
- Big Data Handling
- Performance
- High Availability
- Flexibility
Cons
- Learning Curve
- Expensive Licensing
- Overwhelming Features
- Expensive
- Small Business Limitations
- Difficult Learning
Traffic & LLM citations
Source: G2 review data
Winning from
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 27.8% |
| Mid-Market | 27.8% |
| Enterprise | 44.4% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q2 | 4 | 4.3 |
| 2026 Q1 | 13 | 4.3 |
Satisfaction ratings
What reviewers say
Productive and Feature-Rich, but Requires Time to Learn and Costs More for Low Latency
“EDB has been productive overall for my use. I like most of the features, including the automated failover engine. It also has the ability to manage Pods and PVCs directly without using custom APIs, and it simply feels better than traditional Kubernetes.”
Kubernetes-Native PostgreSQL That Simplifies Database Operations
“One of the main things I like about EDB Postgres AI for CloudNativePG is its seamless integration with Kubernetes-native processes. Dealing with PostgreSQL clusters, backups, failovers, and scaling has become way easier since these processes can be carried out with the help of Ku”
Near-Zero Downtime and Built-In TDE Make Setup a Breeze
“What I like best is the TDE and near-zero-downtime setup. Encryption for data at rest comes built in, so I didn't have to add it separately. And the failover/maintenance work happens without the downtime I used to deal with before.”