![]() While MySQL is arguably easier to manage, Postgres is relatively easy as well. ![]() You can compile it on a SPARCstation, launch a Postgres Docker container on your laptop, or deploy multiple instances using Kubernetes. Postgres is simple to deploy and works on absolutely everything, from a Raspberry Pi Zero to multi-server clusters. Even if MySQL did offer faster performance-which it doesn’t-Postgres still would be the better choice, simply for its flexibility. In use cases from developing new applications, to migrating large existing databases, to conforming to continuously changing business requirements, it’s hard not to pick the most flexible system. That said, Postgres provides stronger performance in most use cases, including heavy data ingestion, complex analytics, and working with NoSQL data. ![]() MySQL does outperform Postgres in a few specific use cases (such as certain simple primary key lookups). Without diving into the gritty technical details of Postgres and MySQL, the two feature a noticeable difference in delivered performance. However, it’s all the more necessary to take care to avoid the lock-in perils of open core when navigating the MySQL ecosystem. MySQL’s Community Edition features a sizeable open-source community as well, and MySQL has available professional support. Organizations in need of more elaborate assistance can also easily find experienced providers offering professional PostgreSQL support. It’s also quite easy for developers to ask questions and receive the right answers from the community. Strong Community and Commercial Supportīecause of Postgres’ public code review approach to development, the entire public history of the solution’s development and discussions, including thousands of volunteer committers and Postgres professionals, is available in mailing list archives (as well as platforms like Slack, IRC, Telegram, and others). Amid these challenges for organizations simply seeking safe open-source technologies to build and scale their products upon, Postgres stands out as a particularly mature project backed by a particularly strong community-and with diverse project leadership dedicated to true open-source principles. Open core vendors that lure in customers with the promise of open-source flexibility while concealing vendor and technical lock-in continue to lie like traps within the solution landscape. The past year has seen a lot of activity with open-source projects changing their licensing, unfortunately leading to greater usage restrictions in most cases. And while “MySQL Community Edition” is still supported by a large community of open-source developers, MySQL development has certainly felt the impact of Oracle’s influence. While ostensibly “open-source,” MySQL has increasingly added commercial modules with proprietary licensing since its acquisition by Oracle in 2010. In contrast, MySQL has a, let’s call it more complex standing. The project is unquestionably a testament to the capabilities of its broad and talented open-source community. Its code quality is highly regarded: an achievement stemming from the project’s commitment to open and public code review processes. Postgres is also a fully open-source project that’s been available under the PostgreSQL license since 1996. The open-source community’s response to bugs is usually immediate: important bugs are fixed-with full transparency-in a matter of days at most. From its continuous partitioning improvements to introducing index deduplication, PostgreSQL is consistently getting better with every release. Apart from a few hiccups (I’m talking about you, reindex concurrently bug), Postgres has delivered new first-class enterprise features with each of its last few versions. PostgreSQL releases a new major version every year.
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