![]() In the same way, pushing in database information that you would not need to keep (basket) is frustrating. You are slowed down by storing and giving information from your local storage (images). Worst, they put a few products in the basket, but don’t buy them. It’s Christmas time for our website, your are now able to receive and store correctly your products, the orders, the bills… neat!īut wait… Now more and more customers are coming to you, asking ALWAYS for the same price and description of this wonderful pair of socks. Let’s come back to our e-commerce scenario! ![]() The customer is paying, but just for 2 seconds your database is flapping and unreachable. Imagine that you, the website, receive an order for a new gift you ask for a payment of 50 euros. The idea is always the same, tables and relations, with a goal to guarantee data validity despite errors, power failures. The most famous ones are MySQL, PostgreSQL, MariaDB and SQL server. Each table can be linked to others, with relationships, it’s called a schema. Relational databases are widely adopted worldwide, with pretty simple tables, with columns and rows. ![]() Here come relational databases to the rescue! Relational databases with MySQL and PostgreSQL As a website, you cannot lose their information, you want to store it precisely. It’s almost Christmas, plenty of customers are creating accounts, ordering gifts, putting their credit cards. Imagine that you are literally an e-commerce website… At least try to imagine □ It may be a little silly, but a good way to understand. Long story short: too many uses cases for one blog post! But let’s dive a bit into the main concepts and key differentiators. Its horizontal scalability is useful for IoT data ingestion, real-time analytics as well for event-driven applications.īut what do Kafka, MySQL, PostgreSQL, OpenSearch and Redis do?
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