5 important differences when comparing MongoDB vs. Redis.

When choosing a modern database, one of the biggest decisions is picking a relational (SQL) or non-relational (NoSQL) data structure. While both are viable options, there are key differences between these two systems to keep in mind. Below, learn about the most important distinctions between SQL vs NoSQL databases and the best systems available on the market. The five critical differences between SQL vs NoSQL are.

Storing information in a relational database and sharing it via a RESTful API is a very common scenario these days. Depending on your RDBMS (relational database management system), this may take a lot of development effort. One solution that attempts to simplify the process is the PostgREST web server add-on for PostgreSQL. If your organization uses the PostgreSQL database, PostgREST quickly adds basic CRUD (create, read, update, delete) functions in an easy-to-use RESTful HTTP interface.

A distributed database can offer benefits and tools to any company’s data storage and analytics processes — as long as they know how to use one.

API abuse was once one of the most infrequent vectors for cyber security attacks. It has now moved up the list to be one of the most frequently used techniques. In a time when data is a company’s competitive edge, more and more organizations are embracing APIs to integrate various databases and applications effectively. With the amount of information shared between these APIs, securing the data and user access to that information has become increasingly important.

Web applications usually rely heavily on databases, for the most part. And as applications grow, databases grow too. We keep scaling web servers and background workers to keep up with the heavy load. But eventually, the database needs to keep up with all the new connections from these processes. One way to tackle this is to grow a database with an app using vertical scaling. This means adding more CPU power and memory to the database server. But this is usually slow.

CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP). For more information and to get started with COD, refer to Getting Started with Cloudera Data Platform Operational Database (COD).

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Five things to know about this topic.

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main data services that run on Cloudera Data Platform (CDP) Public Cloud. You can access COD from your CDP console.

Database replication involves storing copies of a database in different locations. Learn how it works and how to get started.