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PostgreSQL

PostgreSQL

Overview

What is PostgreSQL?

PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.

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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Product Demos

PostgreSQL for Beginners - Demos on pgbouncer

YouTube

PostgreSQL demo with CPP on Ubuntu Linux

YouTube

Spring Boot + Vue.js example | Spring Data JPA + REST + PostgreSQL CRUD Demo

YouTube

ASP.Net Core Web API con Docker Compose, PostgreSQL y EF Core

YouTube

Demo: Replicating Oracle Database to PostgreSQL - TechXperts

YouTube

postgresql conf demo

YouTube
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Product Details

What is PostgreSQL?

PostgreSQL Video

What is PostgreSQL?

PostgreSQL Integrations

PostgreSQL Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

PostgreSQL (alternately Postgres) is a free and open source object-relational database system boasting over 30 years of active development, reliability, feature robustness, and performance. It supports SQL and is designed to support various workloads flexibly.

Reviewers rate Support Rating highest, with a score of 9.3.

The most common users of PostgreSQL are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(329)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

PostgreSQL has a wide range of use cases across various industries and organizations. It is commonly used as a primary data storage solution for traditional relational data in customer-facing systems, serving as a reliable and scalable option. Additionally, PostgreSQL is utilized as a NoSQL data store with JSON and JSONB data types, offering flexibility and versatility for developers. Users appreciate its near-complete ANSI SQL language implementation, making it handy for data extraction and analytics. PostgreSQL is also valued for its ease of integration or migration with AWS Redshift, enabling seamless data transfer between platforms. Moreover, it serves as a dedicated and per-application data storage engine, catering to the diverse needs of different business units. Whether it's for data analytics, reporting, ad-hoc data storage and retrieval, or building high-traffic API services, PostgreSQL proves to be a stable and cost-effective solution for various use cases.

Reliability and Performance: Users have consistently praised PostgreSQL for its reliability and performance, with many reviewers stating that they have experienced no downtime or issues related to the database. Some users also mentioned that PostgreSQL's performance is exceptionally fast, providing them with great speed in their operations.

Ease of Use and Flexibility: Many users find PostgreSQL easy to use and appreciate the availability of good open-source tools to work with it. Reviewers have highlighted that constructing queries in PostgreSQL is straightforward and that it integrates well with all development languages, making migration easy. The flexibility of PostgreSQL's user/role management system has also been praised by users, as it allows for easy control over access to tables.

Wide Industry Adoption and Community Support: Several reviewers acknowledge that PostgreSQL has achieved wide industry adoption, making it easier to integrate into a stack and hire knowledgeable developers. The availability of a huge online community for support was highly appreciated by users. Additionally, many users mentioned the extensive documentation available for PostgreSQL, along with the ease of finding examples, which further contributes to community support.

Complicated Installation and Setup: Many users have found the installation and setup process of PostgreSQL to be complicated, especially for Mac users. They have mentioned the need to learn new commands and have recommended blog posts for guidance.

Difficult Syntax of SQL: Users have expressed difficulty in understanding the syntax of SQL in PostgreSQL, which they find different and hard to grasp. This may be a reason why the software is not widely adopted.

Lack of Clear Benefits: Users have mentioned the lack of clear benefits for choosing PostgreSQL over other products. They feel that there are better alternatives available with more extensive features, documentation, and community support.

Based on user reviews, PostgreSQL is recommended for its ease of use, fast execution, and compatibility with other PostgreSQL users. Users also find its functionality, friendly SQL operations, and good GUI feature beneficial. It is suggested as an alternative to other complex query language platforms.

Reviewers highly recommend PostgreSQL for its scalability, robustness, and reliability. They believe it is the best relational database with great popularity among developers. It is suggested for work, learning, career purposes, as well as small and medium development projects. Users also mention its suitability for incremental development and cost reduction.

PostgreSQL is praised as a world-class and free database with a vibrant community that provides great support. Reviewers recommend it for its cost-effectiveness and suitability as a free relational database. It is suggested as the default database choice for developers, including testing and staging environments. The growing community around PostgreSQL is seen as an advantage.

Other notable recommendations include the speed, security, and reliability of PostgreSQL. It is considered suitable for querying large amounts of data and prioritizing security. Users emphasize the importance of familiarizing oneself with SQL, utilizing the documentation, and keeping up with the latest versions of PostgreSQL. They suggest having database experts on the team for production use.

Additionally, users suggest using PostgreSQL for lightweight installations, optimal database management, building reporting engines, data analysis with good security features at an affordable price, and implementation in systems with array support.

Some users request improvements such as easier configuration processes for Windows users or adding real-time database support or developing another database app. Online resources are recommended for training and support when learning PostgreSQL.

Overall, users find PostgreSQL to be a complete and easily accessible database system with multi-version concurrency support that offers a reliable solution for various needs.

Reviews

(1-25 of 53)
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Best Relational and Open Source Database

Rating: 9 out of 10
November 07, 2022
vb
Vetted Review
Verified User
PostgreSQL
2 years of experience
  • Well documentation and it's free
  • JSON Support
  • It can handle large database
  • Real time data
  • Security is very good
  • Good Interface and easy to work

"PostgreSQL is the most sophisticated and adaptable database software available."

Rating: 8 out of 10
December 31, 2021
AF
Vetted Review
Verified User
PostgreSQL
2 years of experience
  • It works well with external data sources and runs on platforms with stable performance.
  • Clients can rest assured that their personal information will be safe and secure.
  • Many forums discuss setup and usage, and most are free.
  • Adding tooling applications to a computer is unlimited.
  • PostgreSQL runs on many OS platforms and supports ANSI SQL, stored procedures, and triggers.

PostgreSQL Review

Rating: 8 out of 10
June 22, 2021
AA
Vetted Review
Verified User
PostgreSQL
10 years of experience
  • Aggregation of data quickly for report generation
  • Lookups of reference data vs looking up in files
  • organization of data for quick references
  • quick ansi sql functions vs writing out functions in program language

Don't be afraid on adopting it. PostgreSQL delivers more features than most of the paid databases from big brands.

Rating: 9 out of 10
June 05, 2021
  • Handle large amounts of data.
  • It is scalable (for reading purposes).
  • It is compatible with so many languages as the language for triggers and stored procedures.

PostgreSQL you don't want to stop using it

Rating: 9 out of 10
June 02, 2021
MM
Vetted Review
Verified User
PostgreSQL
8 years of experience
  • The stability it offers, its speed of response and its resource management is excellent even in complex database environments and with low-resource machines.
  • The large amount of resources it has in addition to the many own and third-party tools that are compatible that make productivity greatly increase.
  • The adaptability in various environments, whether distributed or not, [is a] complete set of configuration options which allows to greatly customize the work configuration according to the needs that are required.
  • The excellent handling of referential and transactional integrity, its internal security scheme, the ease with which we can create backups are some of the strengths that can be mentioned.

Best open source relational database you can have

Rating: 10 out of 10
May 24, 2021
Verified User
Vetted Review
Verified User
PostgreSQL
7 years of experience
  • Supports and runs on most popular operating systems and environments.
  • Most cloud vendors support PostgreSQL.
  • Solid and reliable, PostgreSQL has been around for a very long time.
  • Has a huge online community that can help you with any questions and challenges.
  • Open source, so cost of initial ownership is much lower than Oracle, MS SQL Server.

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

Rating: 10 out of 10
May 19, 2021
Verified User
Vetted Review
Verified User
PostgreSQL
4 years of experience
  • 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

PostgreSQL is awesome opensource database with NoSQL support

Rating: 9 out of 10
May 16, 2021
AG
Vetted Review
Verified User
PostgreSQL
1 year of experience
  • Built in Json support which usually takes less space and eliminates us from re-parsing again in application and can be indexed
  • Support for large size data is awesome. Currently for loggings of analytics data we use it
  • Postgre[SQL] is more secure which we have experienced. MySQL got corrupted but it retained our data.
  • Its extension support is awesome. Through its inbuilt concurrent, we get faster results

Professional and Free

Rating: 8 out of 10
May 14, 2021
Verified User
Vetted Review
Verified User
PostgreSQL
2 years of experience
  • Offering high performance.
  • It's free.
  • It is an institutional solution. And its use in very large and important national projects.
  • Good at security.

A solid solution for data teams

Rating: 7 out of 10
May 14, 2021
VK
Vetted Review
Verified User
PostgreSQL
5 years of experience
  • BI tool integration - Periscope/Sisense, Looker, etc.
  • SQL is a common skill, and Postgres' dialect strikes a good balance between stability and usability
  • JSON support

NoSQL workloads shine on PostgreSQL

Rating: 10 out of 10
April 08, 2021
PD
Vetted Review
Verified User
PostgreSQL
18 years of experience
  • Permissive licensing
  • JSONB data types allow for migration from NoSQL data stores that haven't scaled as well as would have like when providing consistency guarantees.
  • Various index types to support full text search.
  • Extensions & customization of the database.
  • Geo-spatial support with routing support.

PostgreSQL delivers on its promise.

Rating: 10 out of 10
April 08, 2021
DB
Vetted Review
Verified User
PostgreSQL
10 years of experience
  • Reliability - There is absolutely no issue with uptime or data integrity.
  • Flexibility - The wide range of data types which are supported gives us immense flexibility in terms of what data we can store.
  • Speed - Even at our busiest, we are able to count on the performance of the engine matching our needs.
  • Internal features - Thanks to the wealth of internal features, we have less external dependencies to perform common business tasks.

PostgreSQL with PostGIS - best way for rapid development spatial-engaged services

Rating: 10 out of 10
April 02, 2021
  • Advanced spatial capabilities by using PostGIS extension
  • Very fast data processing and support of native ANSI SQL language syntax allows maintaining capability and scalability of database
  • Fast data aggregation, even by SQL or stored routines/functions
  • Well documented, free for use, great community. A lot of examples, and for this reason - lesser threshold for junior developers to start with

PostgreSQL - The database that fits all

Rating: 10 out of 10
April 27, 2020
JB
Vetted Review
Verified User
PostgreSQL
15 years of experience
  • It is an excellent DBMS, which is scalable, performs well, allows replication, supports ACID and a big subset of the SQL standard (in several cases, it is a superset).
  • Is much better at data types than the other DBMSs, with a more rich semantics, with geo-spatial types, complex numbers, etc.
  • It supports several methods of indexation, including B-trees, Genetic Algorithms based indexes, and GIN indexes that accelerates full-text searches.
  • Its flexibility to select from a variety of procedural languages to make stored procedures is astonishing.

Battle-tested-never-data-loss alternative to MySQL

Rating: 9 out of 10
February 14, 2020
Verified User
Vetted Review
Verified User
PostgreSQL
4 years of experience
  • As I mentioned before, Postgres has an incredibly flexible and simple-to-use user/role management system. First, there are users--login information so that you can hand out to individual users. Then, there are roles, which specify read and/or write access to all the tables that you can assign to users. Through this system, you can easily control who can read and update which tables, and the system is very well-tested, so there's no concern with users accessing or writing to data that they shouldn't be unless your Postgres admin really messes up!
  • I could write pages on this and would need to reference the Postgres manual itself to do this justice, but Postgres is dang scalable! There are so many ways to scale it. Postgres has undergone active development by some of the brightest engineers for over 30 years now, and the result is that Postgres has so many ways you can scale it besides just upping the SSD and CPU and memory speed. You can scale reads horizontally through multiple slaves that handle all the reads. You can add highly optimized indices to your tables. You can change columns to JSONB types for super fast JSON queries. You can turn on special caches to bulk writes so they don't overwhelm the disk. Between those three options and other tips and tricks experienced Postgres admins have, you can get a lot out of them. There's a reason Yahoo stuck with Postgres for decades up until their main database even past the point of 4 Petabytes and 10k writes/second!
  • Postgres, simply put, has achieved super-wide industry adoption (6% market share), which means it's really easy to integrate it into your stack and hire knowledgeable developers to service Postgres. All the major database libraries of the common web frameworks that I know are out there (e.g. Rails-ActiveRecord, Spring-Hibernate, Play Scala-Slick) have out-of-the-box deep Postgres support, with no extra configuration needed to get your web app to start reading and writing to Postgres. I also know many universities in the US include Postgres in their curriculum too (e.g. UC Berkeley). It's really easy to hire either new grads or experienced software engineers for positions that require Postgres knowledge.
  • If you are comparing Postgres to MySQL and you want to use JSON, know that Postgres has better performance and features on indexing JSON blobs simply because Postgres beat MySQL to the JSON game by several years. I haven't used MySQL's JSON support before, but that's what my co-workers say (and it's true that Postgres definitely started support MySQL years earlier).
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