Comparison Between MongoDB And Neo4j

Hi All,

In this blog, I'm going to differentiate between mongoDb and Neo4j.  

Both MongoDB and Neo4j are NoSQL databases. The former is schema less while the latter is categorizes under the graph databases. MongoDB provides detailed data view with updated information and eventual consistency. Know here about the peculiarities of the two-

Functionality

As MongoDB is a document store for storing BSON and JSON documents requiring fast reads or writes. The primary feature of this data store is to index and store schema less documents. Neo4j comes with lightning fast ability of handling the most complex queries with weighted connections and unlimited depth.

Complexity factor

Retrieval of data from MongoDB requires dealing with complex queries. This is not only challenging but also requires huge amount of efforts to get along map reduce and aggregation framework. MongoDB is consistent but isn’t capable enough to handle relations. On the other hand, Neo4j allows the users to store wide range of graphs like “Users,” “Subscriber” and others. Also, you can do queries easily with Neo4j.

Reliability Scale

When the whole data fits in memory on a given partition then MongoDB can work much better. The reason of its high scalability is its wide variety of data collections that can be easily stored and partitioned in MongoDB. On the other hand, Neo4j stores the relationships between other properties and the “Users.” It keeps a copy of their profile information in MongoDB.

The Final Say

In a nutshell, it can be said that both MongoDB and Neo4j are pretty much similar with some minor differences. It is advised to define your purpose and preferences when making a choice between the two. You can use a graph when you have highly interconnected data and needs navigation. Else, if you have data featuring deformalized structures then it is advised to go with the document store. However, consider the various features of MongoDB and Neo4j when making your choice.