Snowflake offers a cloud-based data storage and analytics service, generally termed “data warehouse-as-a-service.” The main benefit of Snowflake is that you pay for compute and storage that you “actually use,” so it’s not “just another database.” Snowflake has become very popular over the last few years, culminating in a huge IPO just a couple of weeks ago, by allowing enterprise users to affordably store and analyze data using cloud-based hardware and software

How many applications do you use every day? On average, probably 20. Think about it—We use them to check email, to avoid traffic, to know if we need a coat, to order dinner, and to connect with friends and family. We use others to drive success for our organizations, to present new ideas, to close deals, and to take care of our customers. And this year, we used video conferencing apps to keep the world moving, streaming apps to keep ourselves sane, and online grocery apps.

Last month, MongoDB released v4.4 of their database; the new release contains several changes and improvements, but the introduction of structured JSON logging caught our eye, which makes it easier to extract valuable insights from the logs using products like SolarWinds® Loggly®. In this post, we’ll review how to get started sending your MongoDB logs to Loggly and some of the insights you can easily get from your server logs when you upgrade to the latest version.

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.