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.
If you have a cluster of nodes with MariaDB MaxScale and you want all the nodes of the cluster to have a similar load and not to be be penalized for queries or writes to the database, you can mount the MaxScale product in front of the MariaDB cluster. MaxScale will balance the requests based on what is being sent to each node to have an equitable load and will cache the queries that it sends to each one. This optimizes the response time to database queries and spreads the load out among all nodes in a similar way.
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.
The performance of PostgreSQL has been enhanced through the years, but always is better to have as much performance as we can.
The replication services could be done directly within the database, and more easily.
The Object Orientation of the Database could be extended, and albeit it manages inheritance of tables, and accepts XML and JSON as primary types, it would be wonderful if one could attach methods more easily to tables (to make them more like classes), and instances (rows for example).
MariaDB MaxScale is a powerful tool and easy to use. It has helped us a lot to improve the performance of our database queries. It implements a security layer that acts as a firewall for the databases, masks the data, or limits the results of the queries. It also integrates easily with Kafka.
Postgresql is the best tool out there for relational data so I have to give it a high rating when it comes to analytics, data availability and consistency, so on and so forth. SQL is also a relatively consistent language so when it comes to building new tables and loading data in from the OLTP database, there are enough tools where we can perform ETL on a scalable basis.
The data queries are relatively quick for a small to medium sized table. With complex joins, and a wide and deep table however, the performance of the query has room for improvement.
We have launched several inquiries to MariaDB MaxScale support, and they have always responded very quickly. They also want to hold frequent meetings with the client to get their opinion understand how they can help. I see a very human support that is concerned about the customer.
AWS, Heroku, and Digital Ocean all provide Postgres-as-a-service, where you pretty much never need to administrate it yourself but they do it for you. The Postgres community also has developed awesome and reasonably priced extensions, such as Citus DB and CockroachDB in case you need additional support for running it. If you need documentation, Postgres's docs are super thorough and their official forms are active.
The online training is request based. Had there been recorded videos available online for potential users to benefit from, I could have rated it higher. The online documentation however is very helpful. The online documentation PDF is downloadable and allows users to pace their own learning. With examples and code snippets, the documentation is great starting point.
ProxySLQ allows many simultaneous connections and allows the cache of queries in memory but it does not have high availability or scalability natively, only through external tools. HAProxy is not able to perform load balancing in an optimal way.
Instead, MariaDB MaxScale allows high availability, scalability, and data replication to external systems such as Kafka. In addition, MaxScale has a monitor that allows you to see the status of the set of databases.
In this case, Postgres is preferred because it handles large data sets and requires fewer hardware resources than its competitor, MySQL. Compared to PostgreSQL, Microsoft products are excellent, but the installation process for MS SQL is lengthy. PostgreSQL has an advantage over its competitors in that it can adapt or configure third-party programs, applications, or settings.
Easy to administer so our DevOps team has only ever used minimal time to setup, tune, and maintain.
Easy to interface with so our Engineering team has only ever used minimal time to query or modify the database. Getting the data is straightforward, what we do with it is the bigger concern.
