Why Is PostgreSQL So Popula

Written by kahwyn, October 17, 2023

In general, both MySQL and Postgres demonstrate fast functioning even while working with heavy workloads. In the past, MySQL had a reputation of a fast postgresql performance solutions database at the expense of its concurrency. Postgres, in contrast, has usually demonstrated a balanced results along with handling concurrency.

Firebase databases can be a good option to consider when your software deals with real-time data that needs to be synchronized between different browsers and devices. They are often chosen for such projects as messaging apps, social media apps, and gaming apps. When handling request or response data, Elasticsearch DBMS lags behind. Though it’s perfectly combined with Cassandra DB to complement database performance, other languages and formats are not available for it. As Cassandra was initially designed for fast writing, its weakness lies in its incapacity for fast reading.

Why use PostgreSQL as a Database for my Next Project in 2022

ClickHouse meanwhile could calculate this, without any additional caches or optimized engines, with a single read. ClickHouse tables in memory are inverted — data is ingested as a column, meaning you’ve a large number of columns and a sizable set of rows. Eventually, that all-purpose Postgres database was tasked to store millions of rows of data. It was obvious Postgres couldn’t handle the scale necessary for an analytics platform like PostHog.

While this is valid only for Realtime Database, it’s still an issue if you are mainly planning to use this storage. The problem here is that you are restricted to making simple queries as there are no filter capabilities for more complex ones. This is because the entire database is a big JSON file with no options for data modeling. The solution comes with well-written documentation that facilitates the work with provided services for all users. It includes guidelines, technical documentation, SDK references, information about integration, and much more.

PostgreSQL vs MySQL: Explore Their 12 Critical Differences

A whopping 2 million active installations were achieved by the end of 2001. To put it into perspective, that’s almost the population of Slovenia! At the beginning of 2002, the company expanded its business and opened its headquarters in the US. By then, the platform already had 3 million users, with revenue amounting to $6.5 million, and it’s only continued to gain in popularity since then. More than a few businesses use WordPress to host their websites, a whopping 43% of all the websites on the internet!

With the latest versions of both databases, all the differences have been erased. PostgreSQL can easily manage the most compelling requests of the biggest companies and institutions. Besides, Postgres never stops to optimize its performance releasing new and new versions.

Local User Groups

It is no accident that PostgreSQL has become so popular. It offers its users a huge (and growing) number of functions. These help programmers to create new applications, admins better protect data integrity, and developers build resilient and secure environments.

• When you’ve completed this track, you’ll be able to efficiently work with databases and analyze data.
• Oracle’s documentation, while covering many issues, can sometimes be overwhelming and even confusing.
• A data management system (also called a data processing system), together with the database, forms the main components of a database or data system.
• He then returned to Berkley and initiated a post-Ingres project which addressed several problems that the other databases encountered at the time.

The architecture’s abstraction levels streamline system management on both individual and aggregate levels. From the data perception and refining perspective, Redis can be considered a colossus. Add built-in data caching and you get a powerhouse data machine. With a focus on fast data operation, MongoDB, like any other NoSQL DBMS, lacks data security. As user authentication isn’t a default Mongo option, and higher protection is available with a commercial edition only, you can’t consider it totally secure.

While they may provide ACID guarantees, they are typically available within the scope of one database partition. However, some DBMSs offer advanced security features that meet strict security and compliance standards. Relational databases usually scale vertically, meaning data lives on a single server, and scaling is done by adding more computer (CPU, GPU, and RAM) power to that one server.

This means additional investment in both software and hardware. If this is the first time a company faces such a necessity and is not sure about the resources, then maybe it should consider other database systems. Redis basically has a few different directions to work with. Here, heavy data from IoT devices can be transferred to Redis to process these records before keeping them in any steady data storage. Also, Redis is a perfect option for microservice architectures with scalable cloud hosting. As data here doesn’t have to be long-term persistent, Redis seems a reasonable decision.