DynamoDB is a key-value and document database with single-digit millisecond response times at any scale. It’s a fully managed durable database with built-in security, backup and restore capabilities. A keyword you’ll often hear with DynamoDB is that it is a NoSQL database, which simply means it doesn’t use the traditional SQL query language used in relational databases.

Any application built today is expected to be highly responsive, highly available, and required to adapt to enormous changes in real-time at peak business hours, store ever-increasing volumes of data, and make that stored data available for users a fraction of seconds. To achieve such low latency and high availability, you need to deploy these applications’ Instances in data centers that are close to their users.

Getting tired of slow queries? Wondering how you can improve SQL performance? The answer lies in SQL performance tuning or SQL server audit. Developers and database administrators (DBA) can significantly improve SQL server performance by fine-tuning how it carries out the queries. Optimal performance is crucial for relational databases and the applications that use them.

AWS DynamoDB changed the database game in Serverless and continues to do so, as its design repeatedly proves its huge value. This guide takes you through everything there is to know about DynamoDB so you can rest assured you’re using the service in its best way and reaping all of the benefits.

Despite all of the hype about NoSQL databases, MySQL and PostgreSQL are two database management systems that have truly stood the test of time. These systems were developed back in the mid 90’s, and they still consistently rank among the top 5 most popular databases across the internet. So why are they so widely used and how do they compare? Read on to find out!

The next 10 years will redefine banking. What will differentiate top banks from their competitors? Data and derived insights.

Databases like MongoDB, a NoSQL document database, are commonly used in environments where flexibility is required with big, unstructured data with ever-changing schemas. This post explains what a NoSQL database is, and provides an overview of MongoDB, its use cases and a solution for running an open source MongoDB database at scale.

One of the Scout’s key features is its ability to quickly highlight N+1 queries in your application that you might not have been aware of, and then show you the exact line of code that you need to look at in order to fix it. In this video, we will use a Ruby on Rails application as an example, but the same concepts apply to other popular web frameworks.

The Django Python framework allows people to build websites extremely fast. One of its best features is the Object-relational mapper (ORM), which allows you to make queries to the database without having to write any SQL. Django will allow you to write your queries in Python and then it will try to turn those statements into efficient SQL. Most of the time the ORM creates the SQL flawlessly, but sometimes the results are less than ideal.