We’ve seen MySQL vs MariaDB fight to the death over JSON. We’ve seen Microsoft SQL Server roll up in a spaceship and embarrass everyone. And then there’s PostgreSQL… just sitting there since 2012, sipping tea, with the most mature, powerful, and actually pleasant JSON implementation of them all.
Here’s what real JSON support looks like when a company has been doing it seriously since 2016 and keeps improving it every quarter.
After more than a decade of working with semi-structured data in relational databases, I’ve seen the full evolution of JSON support in MySQL and MariaDB. What started as a workaround has now become a robust, production-ready feature in both systems.
Elasticsearch isn’t just a search engine anymore – it’s evolved into a complete AI-ready platform. According to Elastic’s documentation, it provides native support for the entire RAG workflow
In the rapidly evolving world of search, analytics, and observability, OpenSearch has emerged over the last few years as a prominent open-source alternative to Elasticsearch.
When designing RESTful APIs, we often focus on resources, endpoints, and HTTP verbs — but we tend to overlook one of the most powerful ideas that REST was built upon: hypermedia. This is where HATEOAS (Hypermedia as the Engine of Application State) comes in.
If you are bored with constant relationships in “traditional” relational DB. If you want to have the solution in one “document”. The MongoDB method may be the solution.
What is Redis and what is Memcached? Why use Redis and when Memcached? Way we can call Redis a NoSQL database? Today I want to present my conclusions about which cache engine to use? Redis versus Memcached.
