One of the most fascinating things about MongoDB till now has been its NoSQL format where the data is no longer stored in a relational database style requiring the use of stored procedures. Here the data is stored in format of JSON like documents. Hence, the overhead of translating the tables to the object model for use in the application as required in the relational databases is eliminated here because the stored data is already in the similar format (BSON format) like object model. MongoDB is thus an efficient database reducing time overheads and efforts of the developers significantly. With MongoDB development, there comes scalability and improved data consistency required for developing enterprise applications and it is for this purpose that many enterprises today are opting to use this database as the backend for their applications.
There are certain things which make MongoDB a superior database as compared to its counterparts or say competitors. These are a few good design decisions that this document based database has got just right as compared to other databases and they are as follows.
- Use of Structured Format for Operations:
This is a simple yet significant design decision taken byMongoDb developers for making this database popular among the users who are not in favor of relational databases. Here the developer in order to interact with the database has to use structured format unlike the query language used for relational DBs. With a BSON friendly interface, interacting with MongoDB is much easier and simpler than that of the SQL Server Database Development Services or other relational DBs where data has to be accessed through a miserable programming language. MongoDB supports a structural format of interacting with database which much lesser error prone. Hence, operating with this document based database is rather easier and this is definitely clear win strategy for MongoDB as compared to other databases.
- Replica Sets:
Configuring replicas in SQL or other relational databases is rather much complex and error prone process. It’s quite difficult to set up and manage read replicas in relational DBs as compared to this document based database system. The concept of MongoDb’s replica sets is quite good and easy for the operators to handle with minimum fussing. It allows operators to easily configure read replicas, add or remove replicas, monitor replica’s condition and automatically failover to a new server. All this can be done with its simple to use interface and within minimal or almost no downtime sometimes.
The above-explained concept of replication in MongoDB is based on this data structure called Oplog. With Oplog, every modification done to the database will be logged automatically at the level of documents. It uses position identifiers across all the nodes in replica sets and thus allows the users to flawlessly follow the write operations across the replica sets without having to worry about the topology or primary nodes used in the database. Oplog is a feasible and visible log of database writes which are used generally for external systems of database like backup systems, analysis pipelines of the database, etc. Hence, oplogs are definitely advantageous and a winning design strategy that makes MongoDB development a superior database comparatively.
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