How do you integrate data from Amazon RDS (Relational Database Service) with data from other sources such as S3, Redshift, or even MongoDB? The answer is Xplenty. Our data integration on the cloud lets you join data from various sources and then process it to gain new insights. What about storing the results back to RDS? No problem; Xplenty does that as well.

Here’s how to choose a relational database for your next project.

Regardless of the tech stack used, many developers have already used Redis or, at least, heard of it. Redis is specifically known for providing distributed caching mechanisms for cluster-based applications. While this is true, it’s not its only purpose. Redis is a powerful and versatile in-memory database. Powerful because it is incredibly super fast. Versatile because it can handle caching, database-like features, session management, real-time analytics, event streaming, etc.

Companies these days are handling more data than ever: an average of 163 terabytes (163,000 gigabytes), according to a survey by IDG. Efficiently storing, processing and analyzing this data is essential in order to glean valuable insights and make informed business decisions. Yet the question remains: What is the best way to store enterprise data? For many use cases, the most appealing choice is a relational database.

Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.

If you’re looking for reliable data integration, you may have heard of Debezium as a rising open source software for database replication to assist with your migrations.

Use schemas to make life easier for your analysts and engineers.

ActiveRecord is Ruby on Rails’ most magical feature. We don’t usually need to worry about its inner workings, but when we do, here’s how AppSignal can help us know what’s going on under the hood.

While SQL has been the big dog since the 70s in terms of database management, NoSQL has really come into its own since the late 2000s. In fact, NoSQL has become a powerful and important tool for data analysis and data scientists. To that end, we wanted to take a look at what NoSQL actually is, what are the benefits over SQL, and what are the different data models.