Database Scaling Patterns For The Growing Needs of Your Company — A scalable database means that your database grows at the same rate as your business. But when do we need a scalable database and how do we efficiently scale our database? …

No, It’s Not What You Learned In Chemistry — Deciding between SQL and No SQL databases can be a difficult task for which it is important to understand the key differences between their transaction models. In this article, we are going to discuss the two most popular database transaction models: ACID and BASE. ACID(Atomicity, Consistency, Isolation, Durability) ACID properties are used for maintaining…

Which is the right choice for you? No SQL databases like MongoDB are becoming increasingly popular these days and we can see an increasing number of companies using them. However there still some scenarios for which you need SQL databases. In this article, we will cover the important differences between…

The Only Guide You Need To Understand Normalization In Relational Database Design — Normalization in Database Management Systems(DBMS) is a technique to reduce data redundancy and remove anomalies related to insertion, deletion and updation from the database. In normalization, we divide larger table into smaller tables based on certain rules. …

The CAP Theorem — I have been writing lots of blogs recently on databases and this one’s going to be really short about understanding the trade-offs between accessibility and consistency in distributed databases. There is a really popular theorem known as the CAP theorem for database management systems. The term CAP stands for Consistency…