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.

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.

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.

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.

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.

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.

Ably’s LiveSync product is now available as a public alpha release. LiveSync allows you to automatically keep data in sync across servers and clients, in realtime. This is a hard distributed systems problem. In this post, we’re going to have a look at four existing solutions to realtime data synchronization, the different technical designs, and the tradeoffs they make.

How to build a flexible pipeline to output Cloud SQL for SQL Server audit records to internal or external sinks with minimal coding in Cloud Data Fusion.

API-database coupling vs. traditional multi-layered architectures: what’s the difference and why does it matter? The main difference between direct API-database coupling and multi-layered architectures is that the former allows the API to interact directly with the database, minimizing latency and complexity, while the latter uses multiple layers to separate concerns.