Neo4j vs MongoDB

Difference Between Neo4j vs MongoDB

Neo4j is known to be the best-renowned graph DBMS which is a NoSQL database system that is created by Neo4j.Inc. It is different in comparison to that of MongoDB or MySQL because Neo4j holds some features which mark it exceptional than other DBMS. It stores and also presents data in the form of a graph but not in the tabular or JSON format.

However, MongoDB is known to be a non-relational database i.e. NoSQL, and an open-source document-oriented program. It is a cross-platform document database that stores data as key-value pairs. MongoDB is created by MongoDB.Inc. It is developed by means of the languages such as Go, C++, Python, JavaScript where it provides high scalability, speed, and availability.

Head to Head Comparison Between Neo4j vs MongoDB (Infographics)

Below are the top 17 differences between Neo4j vs MongoDB:

Comparison Table of Neo4j vs MongoDB

Following are the main comparisons for both the database tools Neo4j and MongoDB:

Neo4j	MongoDB
It is industrialized by Neo4j Inc.	It is industrialized by MongoDB Inc.
It was primarily out in 2007.	It was primarily out on 11th Feb 2009.
Java and Scala-type languages are used to write Neo4j.	C++, JavaScript, Go, Python type languages are used to write MongoDB.
The current release is 4.2.6, on May 2021.	The current release is 4.4.5, on April 2021.
Map Reduce procedure is not supported.	Mao Reduce Procedure is supported.
It includes foreign keys.	It does not include foreign keys.
Neo4j APIs with few other access techniques comprises Bolt protocol, Java API, Cypher query language, RESTful HTTP, Neo4j-OGM, Spring Data Neoj4, API, TinkerPop 3.	MongoDB APIs with few other access techniques comprise proprietary protocol by means of JSON.
It includes data schema-free as well as schema which is optional.	It includes data schema-free.
SQL is not supported.	Read-only SQL queries is supported through MongoDB Connector for BI.
Graph DBMS is the initial database model.	Document Store is the initial database model.
Partitioning methods supported is Neo4j Fabric.	Sharding partitioning methods are supported.
Some prominent companies which use Neo4j are Fiverr, medium.com, GAPO, Stack, Fundamentei, double slash, Trendyol, ingsmen software, etc.	Some prominent companies which use MongoDB are ViaVarejo, Amadeus.
It has server-side scripts.	It includes JavaScript as server-side scripts.
The replication method is Causal Clustering by means of Raft protocol.	The replication method is Multi-Source deployments using MongoDB Atlas Global Clusters Source-replica replication.
The user concept is permissions, users, and roles. It has pluggable authentication using supported standards such as Active, LDAP, Kerberos, Directory.	The user concept is access permissions for users and also roles.
The transaction concept is ACID.	The transaction concept is multi-document ACID transactions using snapshot isolation.
Classic application Scenarios are Master Data Management, Fraud Detection, Graph-Based Search, Smart Homes, Identity and Access Management, Network and IT operations, IoT, Knowledge Graphs, Real-Time Recommendations, etc.	Classic application scenarios are IoT(Internet of Things and Time Series), Mobile, Cisco, 7-Eleven, MetLife, Analytic and AI, Gaming, Personalization, Catalogs, Mainframe Offload, Payments, etc.

Key Differences of Neo4j vs MongoDB

Few key differences between Neo4j and MongoDB are as follows:

Neo4j is an accessible, ACID-compliant graph database intended with a great performance which is distributed cluster-type architecture that is offered in self-hosted and cloud assistances.

MongoDB is one of the best standard document stores available in cooperation as a fully managed cloud service and also for positioning on self-managed infrastructure.

In the word Neo4j, the letter j denotes Java, Jordan 2014 and it needs the JDK i.e. Java Virtual Environment for performing.

Both Neo4j and MongoDB are available under open source license and are not cloud-based only.

The server operating systems used for both are Windows, Linux, Solaris, and OS X.

Both the database tools include triggers, concurrency, durability, and in-memory capabilities.

The DBaaS offerings for MongoDB are MongoDB Atlas and ScaleGrid and for Neo4j is Aura. The ScaleGrid for MongoDB is a completely managed hosting for MongoDB on AWS, DigitalOcean, and Azure having high SSH access and availability on the popular multi-cloud that is DBaaS. MongoDB Atlas is the global and entirely managed cloud service for database create from the developers of MongoDB and it can be setup across Azure, AWS, and GCP. Whereas, the Aura of Neo4j is also a completely managed cloud service including the zero admin and always-on graph database created for cloud makers.

Neo4j’s distributed cluster architecture delivers high performance that empowers customers to execute the most inspiring OLTP and workloads of data science while maintaining ACID compliance as well as data integrity. In addition, with Neo4j, the customers receive the liberty of choice for organizing in a self-hosted, multi-cloud or hybrid platform, agility development, and better ROI.

Neo4j is a graph database type developer, the marketplace leader, and also the most generally positioned graph data platform in the market, implemented by 200K + creators, 800 + profitable customers with dozens of them organizing graph databases having multi-billion nodes with relationships.

MongoDB is created to fulfill the demands of modern apps by means of a technology foundation that enables the users through MongoDB Cloud, multi-cloud, global database, document data model with MongoDB Query Language.

MongoDB platform is implemented by the creators constructing transactional, analytical, and operational apps. Through its structure design, MongoDB offers a technology basis that meets loads of modern apps, supporting creators to work with data anywhere it lives: in the data lake, on device, in the backend database server application, and also search engine.

MongoDB maintains the most valuable features of RDBMS such as strong consistency, expressive query language, ACID transactions, and secondary indexes. Therefore, the creators can construct extremely functional applications quicker than NoSQL databases.

MongoDB Cloud works with your ecosystem, integrating with security environment, plug-in monitoring and alerting tools, connecting data tools such as Spark and Kafka, and operating with MongoDB integrations in usual IDEs.

Conclusion

Neo4j provides graph technology which is battled confirmed for performance as well as scale ground-up. It has flexible schema that helps to adjust to a growing business without trouble offering more in minimum time.

MongoDB is today the leading current, common-purpose data platform created to release the power of data and software for the inventors and the applications they figure, and this at a fraction of the cost of bequest databases.

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