Databases are organized collections of data stored in a server or a system elsewhere and can be retrieved upon need. They can be managed and even updated as and when the need arises. This data can be in the form of texts, images, integers, or multimedia files. SQL uses a standard query language to manage relational databases. You must have heard of MySQL, PostgreSQL, Oracle, and Microsoft SQL servers.
DuckDB is competitive with the best commercial systems for small and medium data sizes, but is not (yet) good at scaling up to many CPU cores.
Both MySQL and Oracle provide the same architecture and use the relational model, and both offer many standard features such as indexing, vertical scalability, and support for popular operating systems. However, there are some critical differences between the two tools.
SQL or NoSQL? That is the question. Successful companies need reliable, robust databases to handle their day-to-day data management needs. However, with so many technologies on the market, it can be difficult to know which database provider is right for your company. Firebase and MySQL are two database solutions built very differently.
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.
Data Warehouse and Database are two commonly used terms in the field of data management, but they serve different purposes.
A database allows multiple users to maintain, update, and edit stored information quickly, securely, and efficiently. That makes a database useful for a host of real-life cases such as keeping track of corporate accounting records, storing huge amounts of data from a network of IoT devices, tracking your company's inventory systems, or building a web application.
Do you have a DB2 database that needs a REST API? Now you can connect to your IBM DB2 with DreamFactory in just a few minutes. In this short blog post I’ll explain how you can connect to DB2 with DreamFactory’s auto-generated REST API for DB2.
DynamoDB is a fast and performant NoSQL database for creating highly available web applications. This article explores how to interact with DynamoDB in Python using the Boto3 library and covers in-depth concepts such as concurrency, leader model, throttling, and more.
