PG Vector
Reviews
Star rating
Rank in Vector Database
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 41.7% |
| Mid-Market | 50.0% |
| Enterprise | 8.3% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|
Satisfaction ratings
What reviewers say
SQL- PG vector
“It helps me to store and quearying the SQL. The implemention of PG vector is perfect, means the UI and the it is easy to use.It has number of feature andd so many people frequently use this software for SQl storing and for vector search. the integration use the AI to manage the ”
Making Worst Data Analysis and Decision Making
“It needs to be robust when dealing with datasets. It require some setup effort but properly configured it delivers inaccurate results. Even though handling data demand time and resources it does not worth it, for those who need scalability without extensive technical expertise.”
PG Vector: Game-Changing Embeddings for PostgreSQL
“PG Vector seamlessly embeds machine learning into PostgreSQL It allows me to unlock powerful semantic search without breaking my existing data stack.”