Postgres - tons of people use it for a reason!!
May 19, 2021

Postgres - tons of people use it for a reason!!

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with PostgreSQL

We use Postgres for a variety of applications, from high availability/high traffic API services to simpler CRUD style single-page applications. It fulfills a need for a low-cost relational data store that has been tested and proven to work. Its use of common SQL is known by many engineers so the learning curve is very low.
  • Ability to handle very large datasets, 100's of GB
  • Great tooling, great selection of mature tools to pick from
  • Available in most cloud platforms
  • Easy to install and maintain
  • Low learning curve for engineers
  • I don't really have any big complaints, it's popular because it's good!
  • Engineers know SQL and postgres, so little to no learning curve
  • Big support community if there are questions
  • Wide range of use
  • Great tooling for engineers to use
  • Postgres has been a great database solution without breaking the bank
Postgres stacks up just [fine] along the other big players in the RDBMS world. It's very popular for a reason. It's very close to MySQL in terms of cost and features - I'd pick either solution and be just as happy. Compared to Oracle it is a MUCH cheaper solution that is just as usable.

Do you think PostgreSQL delivers good value for the price?


Are you happy with PostgreSQL's feature set?


Did PostgreSQL live up to sales and marketing promises?


Did implementation of PostgreSQL go as expected?


Would you buy PostgreSQL again?


Postgres is well suited for a variety of applications, especially where relational data is involved. Its low cost and its widespread use makes it an ideal choice when looking for a relational database. It's fast reading and writing, so it can be used in low latency applications like APIs. It works well in CRUD style applications as well.

I would not be my 1st choice for big data applications, querying extremely large data in Postgres can be slow.