Cluster deployments are of great significance in ensuring the high availability of data as well as protecting it. MongoDB enhances this through replication and sharding, whereby replication ensures vertical scaling through lifting redundancy whereas sharding...

MongoDB and CouchDB both are the types of document-based NoSQL databases. A document database is also called mdocument store, and they are usually used to store the document format of the semi-structured data and detailed...

Page faults are a prevalent error that mostly occurs in a large application involving large data. It takes place when MongoDB database reads data from physical memory rather than from virtual memory. Page fault errors...

The most challenging task to do in a business start-up is to choose the perfect technology based on business needs. In the course of backend app development, any mistake while choosing the right database may...

In MongoDB, large data sets involve high throughput operations and this may overwhelm the capacity of a single server. Large working data sets implicate more stress on the I/O capacity of disk devices and may...

Replication lag is an inevitable occurrence for multi-cloud database deployments, as it causes delays of transactions to reflect into the target node or cluster. When implementing a multi-cloud database deployment, the most common scenario (and...

It is a well-known fact that MSSQL databases have ruled the world of data technologies and have been the primary source of data storage for over four decades. Generally, the MSSQL database is used mainly...

After developing your application and database model (when it is time to move the environment into production) there are a couple of things that need to be done first. Oftentimes developers fail to take into...

Introduction to MongoDB MongoDB was introduced back in 2009 by a company named 10gen. 10gen was later renamed to MongoDB Inc., the company which is responsible for the development of the software, and sells the...

When in production, an application should provide a timely response to the user for the purpose of improving user interaction with your application. At times, however, database queries may start to lag hence taking a...

Developers describe Kafka as a "Distributed, fault-tolerant, high throughput, pub-sub, messaging system." Kafka is well-known as a partitioned, distributed, and replicated commit log service. It also provides the functionality of a messaging system, but with...

Database User Management is a particularly important part of data security, as we must understand who is accessing the database and set the access rights of each user. If a database does not have a...