INTRODUCTION
As the world of Technology continues its relentless struggles to handle volumes of structured and unstructured data effectively, the available options for handling this data are through big data handlers and database services. Here we will discuss who are the competitors of MongoDB.
Among these database services, MongoDB is one of the prominent names in the world of handling data.
MongoDB has remained popular stature in the world of database services.
over the years. It has remained a renowned open-source database management technology that employs the document-oriented database infrastructure.
MongoDB was rolled out in 2019 and came as an alternative to relational and SQL database programs.
It has been mainly used to create applications that process large amounts of data. MongoDB goes against the tables and rows database model using collections and documents.
In the database management world, MongoDB has been one of the crucial skills required of software developers as of 2021.
It is primarily used for handling data in mobile apps, IoT-based applications, etc. Thanks to the flexibility provided by its C++ structure.
The key features of MongoDB that make it stand out in the database management sphere include its adequate data storage, optimized queries and analytics, load balancing, duplication of data for improved accessibility, etc.
Though MongoDB remains an important database management system, it still lacks behind in certain areas like the heavy data consumption due to denormalization.
Though NoSQL database models have the best database management features, there are various ways and areas where NoSQL databases lack.
Developers are working tirelessly to find fixes for the shortcomings of the MongoDB database management system by finding alternatives to make up for its shortcomings.
This article highlights the significant, popular competitors and alternatives of MongoDB that You can utilize to accomplish similar feats.
COMPETITORS OF MongoDB
The popular competitors of MongoDB include:
- Redis: Redis is well known for being an open-source database management system. Redis’ open source structure and model lets it act as a data cache and broker.
Redis offers support for several functionalities like; sets, bitmaps, maps, etc. it provides support for storing information in these data types.
Redis made its way into the database management service world over 12 years ago and has been considered a competent figure in database management, with the ability to boost the speed of applications in which it is used.
- MySQL: MySQL is a managed relational database management system (RDBMS). Like Redis, MySQL is open source and is heavily utilized for deploying cloud-based applications.
MySQL functions through the use of SQL (structured query language) and is used in the development of data warehousing, e-commerce and preserving web-based databases.
It is used mainly for web-based databases as it is used on the web and operates on a server. MySQL provides high scalability options and speed of execution.
Integrating MySQL into GUI (graphic user interface) has also made it easy to work with for developers.
- CouchDB: Apache CouchDB is a document-oriented database built on Erlang. It is also open-source and fosters the execution of a logical database server on different virtual machines.
It is a noSQL database that employs varying options for storing, moving, and processing data.
The Apache Software Foundation made CouchDB and heavily uses JSON for its data storage. The data stored in JSON is organized in key-value pairs.
- OrientDB: OrientDB is a multi-type, NoSQL database and open source. OrientDB is written in Java and provides good support for document-based, graph, and object models, all without the need to deploy multiple systems to handle these varying data types.
OrientDB is a comprehensive multi-model API (application program interface) that provides the speed needed in deployment. OrientDB is also a market favorite due to the high level of security and scalability it provides.
- ArangoDB: This is a multi-model database management system built native to and majorly for graphs, including other data types.
ArangoDB provides support for 3 major data types, which consists of a good database management system option for providing scalability for database clusters spread over different data models.
The data in ArangoDB can easily be duplicated and sent from one database to another without any effect on the distributed data.
ArangoDB also provides a high level of security for stored data that ensures the security of this data.
Other notable competitors of MongoDB include:
- Devo
- HDFS
- Soutron
- FileMaker
- DealRoom
- SolarWinds
- DynamoDB
- Google cloud fire store
CONCLUSION
While MongoDB has a wealth of competitors and alternatives, specific requirements of a project should be kept in mind when choosing an alternative database management system to MongoDB.
With Technology as we know it continuously advancing, database management systems that fail to keep up with the rapid progress will quickly fade off. However, MongoDB has remained relevant through these advancements whilst fending fierce competition from its rivals.
As said earlier, choosing a data solution to handle your data depends on the project you are building and the data types in question.
