A Closer Look at the MEAN Stack

The LAMP stack – which stands for Linux, Apache, MySQL, and PHP – has been standard practice for web development at many shops for nearly a decade. Since the one constant in the technology world is its rapid pace of change, it stands to reason a new standard is emerging in this software development space. The MEAN stack leverages many recent innovations in technology, including NoSQL databases in addition to some popular JavaScript libraries.

What follows is a high level overview of the MEAN stack to give you some food for thought before architecting your next web development project. Leverage these insights to make an informed decision on which development stack works best for your needs.

What is “MEAN?”

The MEAN stack is made up of MongoDB, one of the most preeminent NoSQL databases, used in combination with three popular JavaScript frameworks, ExpressJS, AngularJS, and Node.js. The fact that nearly all code for a MEAN project – from database to client – is written in JavaScript is one of the main reasons for its rapid growth. If your organization boasts a lot of JavaScript coding talent, it makes MEAN worthy of consideration on your next web project.

The Four Components of the MEAN Stack

MongoDB is a NoSQL document database widely popular for all kinds of applications. MongoDB is also available through many Cloud service providers, including Amazon AMS, Microsoft Azure, and Google Cloud. It leverages the JSON format for data transfer, making it highly appropriate as the database of choice for MEAN.

A lightweight framework for architecting web applications, ExpressJS was inspired by the popular Ruby library, Sinatra. It is a high performance framework well suited for both scalability and concurrency. It also facilitates the creation of unique APIs specifically for use in a web application.

AngularJS is a Google-developed framework for quickly building web-based user interfaces. It makes the creation of dynamic web pages a breeze; leveraging two-way data binding along with other useful features, including client-side code execution and support for the MVC model. Angular’s extensibility and flexibility enhances its compatibility with other frameworks and libraries, in addition to being a major component of the MEAN stack.

Node.js provides the server side execution environment for a MEAN application. Expect a high scalability factor even with a server farm charged with hosting multiple applications. Built upon version 8 of the Chrome JavaScript runtime engine, Node.js by itself is growing in usage among development teams.

The Advantages of the MEAN Stack

Obviously, the fact that all server and client code is written in JavaScript remains of the major advantages of the MEAN stack. Companies are able to take advantage of their staff’s familiarity with a scripting language that’s been around for two decades. Any overall learning curve is lessened by simply focusing on learning MEAN’s three libraries and MongoDB. 

The scalability features of ExpressJS and Node.js make the MEAN stack suitable for the highly concurrent web applications currently in vogue throughout the technology world. The flexibility of the libraries used in MEAN make it easy to swap out any of the components for a library (or database) more familiar to your development staff. It is definitely worthy of exploration for use in your team’s next web development project.

Keep returning to the Betica Blog for additional dispatches from the wide world of software development. Thanks for reading!

The NoSQL Capabilities of PostgreSQL

Many businesses of all sizes leverage PostgreSQL as an open source option to Oracle and other relational databases. Significant cost savings while maintaining a similar level of performance remains a preeminent reason for this switch. A robust community and the availability of commercial-grade support make Postgres worthy of consideration for your traditional database needs. 

With NoSQL gaining popularity all over the technology world, you may wonder how PostgreSQL supports this new database paradigm. Let’s take a look at what functionality exists today in the database with a quick towards the future as well.

Postgres NoSQL for the Enterprise

We’ve talked about EnterpriseDB’s commercial level version of PostgreSQL previously on the blog. The company also offers a Postgres version with support for document databases and key-value stores – two of the most common NoSQL database types. Known as Postgres NoSQL for the Enterprise, this is something worthy of closer attention at companies looking for an open source mix of relational and NoSQL databases.

This Postgres database solution combines the speed and flexibility of NoSQL with the traditional SQL database functionality required for enterprise use – most notably the support for ACID (atomic, consistent, isolated, and durable) transactions. Database instances also easily integrate into the existing business data infrastructure, no matter the platform. In short, it provides the best of both worlds – relational and NoSQL.

ACID transactions are vital for business organizations that depend on the real-time validity of the relationships within its data. Many current NoSQL databases don’t offer this feature, instead following the BASE paradigm which emphasizes speed and availability over the consistency of the data. Postgres NoSQL lets companies combine unstructured and structured data; mixing the performance of NoSQL with the more formalized governance of traditional SQL.

Postgres NoSQL supports many industry standards for programmatic access and data exchange. These include Ruby, Python, and JavaScript for the former, and the JSON and XML formats in the latter case. The superior performance of PostgreSQL combined with the seamless scalability typical of a NoSQL database solution make EnterpriseDB’s combination of Postgres and NoSQL a valid option for any business desiring a flexible database infrastructure.

The Future of PostgreSQL and NoSQL

In a previous article looking at new features of PostgreSQL 10, we noted the relative lack of NoSQL functionality in this newest version of Postgres, slated for release later this year. The new XMLTABLE feature supports the direct querying of data stored in XML documents. Other performance improvements in version 10 bring the speed of the relational database closer to its other NoSQL brethren.

One recent enhancement in Amazon Web Services deserves mention for companies using a mixture of relational and NoSQL databases. The AWS database migration service now includes NoSQL databases, with MongoDB (as a source) and Amazon’s own DynamoDB (as a target) being the first two to be supported. This means companies with a PostgreSQL instance on AWS are able to stream data from Postgres to a DynamoDB instance.

Companies with an investment in PostgreSQL need to explore EnterpriseDB’s NoSQL option to see if any of its features make sense for adding non-traditional database formats to the corporate data infrastructure.

Keep returning to the Betica Blog for additional news and insights from the wide world of software development. Thanks for reading!