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.
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PostgreSQL is an Open Source Database that is used for mainly Relational database Systems. We are mainly using this database because of the microservice structure. And in microservices, we have a lot of databases and also it's open source so that is good for our organization. And it's an object-relational database the performance of the database is pretty good.
Using PostgreSQL is a Very great experience it's very simple to use and PostgreSQL easily handles large datasets. and if you looking for a relational database management system PostgreSQL is great because the cost is very low compared to other databases. And the large queries speedily run and if you are stuck somewhere the documentation is great.
We use postgreSQL in instances where we need an isolated database to support a microservice architecture, or an isolated system. It allows us to leverage a simple and inexpensive database option where a larger scale enterprise configuration would be over engineering. We commonly use it for build automation systems in our organization.
For a quick configuration of a database for an isolated system, PostgreSQL is a great choice. We use it as an external Database to support our build server systems. it is lightweight enough to be installed on the same system as the build server and provides a more robust storage system.
PostgreSQL is the most advanced and versatile DB system available and is well documented. It’s cool, and there is a lot of diversity among the people who help with it. PostgreSQL has a project (phAdmin) that allows us to carry out tasks using a friendly graphical user interface, making it an incredible database manager. It has a command-line interface for Linux and Windows that is simple to use. In addition, Golang and Python and their frameworks, such as Django for Python, can be integrated. A comprehensive documentation website makes learning about all of its features easy.
PostgreSQL, unlike other databases, is user-friendly and uses an open-source database. Ideal for relational databases, they can be accessed when speed and efficiency are required. It enables high-availability and disaster recovery replication from instance to instance. PostgreSQL can store data in a JSON format, including hashes, keys, and values. Multi-platform compatibility is also a big selling point. We could, however, use all the DBMS’s cores. While it works well in fast environments, it can be problematic in slower ones or cause multiple master replication.
Currently, we are using PostgreSQL to support some DevOps operations, mainly related to monitoring (as a Zabbix database server) and configuration management (it is the database used by our Puppet/PuppetDB environment). We use it as a regular deployment as well as a Database as a service (on AWS RDS).
I simply can't see any reason to use another object-relational database (other than licensing of compatibility with legacy applications) instead of PostgreSQL. I can surely affirm PostgreSQL is the most powerful, scalable, and reliable open-source object-relational database ever. Being able to handle a huge amount of data safely, PostgreSQL will offer you a final result many other paid options can't.
In our department PostgreSQL is used as the main database that supports our transactional systems, reaching a consensus for the use of a single database throughout the organization requires a joint effort that leads to a feasibility study and implementation that determine the best way forward to unify the use of a single database platform.
PostgreSQL is ideal for handling databases that contain large volumes of information due to its efficiency, speed and above all because of the good management it makes of our resources, it also behaves very well in distributed environments of high demand, if you want a database of stable data and excellent performance PostgreSQL is one of the best.
PostgreSQL is one of the databases we use for our systems and products. Most of our IT systems run on PostgreSQL, such as issue tracker and wiki. We also use PostgreSQL to store analytic data which would then be fed to analytic and reporting tools to generate graphs and dashboards.
PostgreSQL is a phenomenal product that can satisfy most relational data needs. If you are in an environment where cost is a factor, or you are just starting with a project and needs to get up and running quickly, then PostgreSQL should be your go-to choice. It is robust, reliable, and has all the features you would need from a SQL compliant database, without all the additional baggage that comes with other more heavyweight alternatives.
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.
<div>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.</div><div>
</div><div>I would not be my 1st choice for big data applications, querying extremely large data in Postgres can be slow.
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Postgre[SQL] is awesome, as it ha[s] lots of distinct things in itself. It is [a] highly extensible object relation database. We are using this for our current applications like Virtual Class and StudyShot purposes. We are storing larger pools of servers for virtual class purposes, which uses Postgre[SQL] as backend server. These applications are organization-wide products. Overall, Postgre[SQL] is superb in larger queries, where it is solving our day-to-day business problems in complex programs. Its performance and security both are satisfactory. Postgre[SQL] have features to extend which is a very good [quality].
It [is] platform independent, so we need not to worry about [having a] specific environment. Very good support for replication also relieves us from [the] data lost burden. Its cost for owning and maintaining [in] comparison to SQL server is low so it [suits us well].
Postgre[SQL] is well suited for various application and scenarios. Looking to its various distinct features, it is good for applications where a large data size is needed, and Analysis programs. In our case, we specifically utilized software for these too. Apart from this we saw that its distinct JSON support, custom data size, object oriented approach are too good.
PostgreSQL open source relational data management system takes on a task behind a critical and important application running in our information systems infrastructure. Although we did not like the use of a separate model database for this application because it was different and critical at first, we are very pleased at the moment, it was unnecessary to hesitate.
Looking at many criteria such as the number of transactions, data type diversity, data size and application types to run in the front and concurrent use, PostgreSQL relational database is very suitable for medium and large projects. There are simpler applications for small projects.