MongoDB vs. Couchbase: database comparison

The direct comparison "MongoDB vs. Couchbase" explains how both these applications perform in their own way. While MongoDB stands out for its flexibility, Couchbase stands out for its real-time applications.

MongoDB vs. Couchbase: united in the NoSQL approach

In the MongoDB vs. Couchbase, we present two of the most popular NoSQL databases. Unlike traditional SQL, NoSQL dispenses with rigid tables, opting for horizontal scaling. In most cases, the term "NoSQL" means "Not only SQL," as it is related to the traditional SQL approach. However, with data volumes continuing to increase, many users need a database that can scale while being secure and understandable.

Brief introduction to MongoDB

Since its launch in 2009, MongoDB has become one of the most widely used database management frameworks covering structured, semi-structured, and unstructured The company MongoDB, Inc., is one of the most commonly used database management systems. (NASDAQ:MODB) has become one of the most widely used database management systems in the world. (formerly 10gen) uses a NoSQL database, which is a non-relational, document-oriented scalable data model. MongoDB is open source and offers proprietary and free versions under Server Side Public License. The system stores data in BSON format, a binary variant of JavaScript Object Notation (JSON), and queries are performed using the MQL (MongoDB Query Language) language. MongoDB was written in C++ and is used by many companies.

What is Couchbase?

Couchbase, originally called Membase, emerged as a NoSQL database for open documentation. The software works in a decentralized manner and can be scaled horizontally and vertically. Couchbase appeared in 2010 and is written in C++, Erlang, C, Go, and Java.The query language of the database software development services is SQL++, it stores data in JSON documents and is characterized by its interactive approach.

Purpose and scalability

The MongoDB vs. Couchbase highlights the scalability of the two NoSQL databases. MongoDB, by eliminating tables and managing unstructured data, offers flexibility and scalability for large volumes of data or constantly growing volumes of data. Therefore, it is especially useful when the volume cannot be predicted in advance. However, it requires users to learn a new query method.

Couchbase has become a very popular solution, especially for interactive custom software development services, due to its fast response times for read and write requests, significantly reducing latency. Being cloud-native, Couchbase is also very attractive to companies in other sectors. In the MongoDB vs. Couchbase, the younger option is also a suitable bet in terms of flexibility.

Both databases operate with CRUD (Create, Read, Update, Delete) operations, but Couchbase has a built-in management console, unlike MongoDB, which requires manual configuration.

Functionality

MongoDB processes data in BSON format and stores it in documents, which in turn can be grouped into collections. Multiple collections can be stored in a database. Documents differ from the approach of an SQL system mainly in that they can contain different types of data. Additionally, they are composed of key-value pairs, in which the key is always a string of characters and the values ​​can be boolean values, other documents, dates, other strings, etc.

Similar to its rival in the MongoDB vs. comparison. Couchbase is also document-oriented, storing documents in JSON (JavaScript Object Notation) format without a default schema. However, it stores the documents on the hard drive or in RAM, the latter being the one that reduces response times the most. Couchbase queries and manages its documents using the proprietary SQL++ (formerly N1QL) language, which is inspired by classic SQL. To do this, it uses simple commands such as Delete, Insert, Merge, Select or Update, and its performance is relatively high.

Architecture and availability

The MongoDB vs. Couchbase reveals differences in its architecture and availability. Both distribute the load across multiple server nodes to prevent possible failures. However, MongoDB is based on a model with one master node and multiple child nodes where write operations are directed to the master node and then replicated. This way, if the master node fails, another subordinate node takes its place, which can take up to 60 seconds. On the other hand, Couchbase uses several nodes, each composed of an indexing service, a data service, a query service, and a cluster manager. Among other things, the manager controls mirroring and node changes.

Compatibility and programming languages

MongoDB and Couchbase support multiple server operating systems, including Linux, macOS, and Windows. Additionally, MongoDB is also compatible with Solaris.

Security

Data security in MongoDB vs. Couchbase varies depending on the version the user opts for. Free options offer basic security features and require additional manual measures. For example, the basic version of MongoDB does not have any pre configured access control. However, proprietary versions have multiple security mechanisms. Without going any further, MongoDB Atlas offers X.509, client-server encryption, as well as Kerberos and LDAP integration, among other aspects.

Couchbase also encrypts data, allows user authentication, role assignment, and monitors databases. However, it is recommended to have additional security measures, such as a firewall.

Use on mobile devices

The two options of MongoDB vs. Couchbase offer additional features for use on mobile devices. MongoDB Realm is designed for mobile operating systems, and MongoDB Atlas also has features for managing mobile device systems. Couchbase Mobile can be used on all possible devices and is designed for decentralized and secure Edge-to-Cloud use, where the corresponding database is optimized for the distribution of mobile software and embedded systems.

Which companies use MongoDB vs. Couchbase?

Large and reputed custom software development companies use MongoDB and Couchbase for various purposes.

Companies using MongoDB include:

• Adobe

• Amadeus

• AppScale

• craftybase

• disney

• Etsy

• Foursquare

• Lyft

• MTV

• The New York Times

• Via Varejo

The following companies use Couchbase in whole or in part:

• Amadeus

• AT&T

• Cisco

• disney

• DreamWorks

• eBay

• LinkedIn

• Marriott

• Office Depot

• Salesforce

• Tommy Hilfiger

• Verizon

Glad you are reading this. I’m Yokesh Shankar, the COO at Sparkout Tech, one of the primary founders of a highly creative space. I’m more associated with digital transformation solutions for global issues. Nurturing in Fintech, Supply chain, AR VR so