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MySQL vs MS SQL Server: Key Similarities and Differences | Dreamfactory

Today, we're looking at MySQL vs MS SQL Server. Relational database management systems (RDBMS) form the backbone of enterprise IT. The main difference between MySQL and Microsoft SQL Server is that MySQL is an open-source RDBMS known for its cross-platform compatibility and cost-effectiveness, while Microsoft SQL Server is a commercial RDBMS primarily designed for the Windows platform, offering advanced features and tight integration with Microsoft technologies.

What are Database APIs? Why and How are they Used?

Modern applications store a lot of data, yet databases continue to be the primary source of data that these applications need to function. This is where database APIs come in, making it easier for applications and services to retrieve and manipulate data. A database API’s biggest advantage is that it eliminates database operations’ dependence on proprietary methods and provides a unified interface, streamlining data operations. Here’s everything you need to know about database APIs.

MySQL API: What It Is and How to Create One in Minutes

Modern software development requires applications to interact with databases to retrieve and modify data. According to Statista, MySQL ranks among the most popular open-source Database Management System (DBMS). With such widespread usage, there’s a need to ensure smoother and faster interactions between applications and MySQL databases. Enter MySQL APIs. MySQL APIs eliminate the effort involved in coding or using other database management tools.

SQL Server API: What It Is and How to Create One

SQL Server is a modern relational database management system. It helps data teams store and manage vast amounts of data. However, organizations need efficient methods to access and manipulate this data to leverage it fully. This is where SQL Server APIs come into play. APIs, or Application Programming Interfaces, act as intermediaries enabling different software applications to communicate.

How to Create a MySQL REST API in 6 Easy Steps

According to StackOverflow’s 2022 survey, 46% of professional developers rate MySQL as the most popular database to use in the workspace. As programmers, we should not be bothered with repeatedly writing code which is otherwise readily available, robust, and well-tested. Yet this problem remains persistent in the REST API space, despite the implementation process being by this point in time rote, repetitive, and prone to error and oversight. This oversight is costly for several reasons.

Database generated events: LiveSync's database connector vs CDC

Ably LiveSync is a product we launched last month to help developers deliver live updates in their applications by automatically keeping their database and frontend clients in sync. LiveSync is made of two components, the Models SDK that runs on the client, and the database connector that listens to changes in your database and syncs those changes to your clients.

Creating an Oracle API in Minutes with DreamFactory

Handwriting code for database APIs can be a time consuming and expensive process that often exposes organizations to a variety of risks relating to quality, consistency, and developer effort. DreamFactory specialises in REST API generation for a range of databases that gives you the ability to generate a secure, fully documented API in minutes.

What is a database?

A database is a storage system that stores data in an organized manner for easy access and management. In just the last two years, 90% of the world’s data has been created, and the volume of global data doubles every two years. All this data is stored in databases. So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management.

What Is Database Schema? A Comprehensive Guide

A database schema, or DB schema, is an abstract design representing how your data is stored in a database. Database schemas can be visually represented using schema diagrams, such as the one below: A database schema diagram visually describes the following: Database schemas are at the heart of every scalable, high-performance database. They’re the blueprint that defines how a database stores and organizes data, its components’ relationships, and its response to queries.