neo4j VS MongoDB

Compare neo4j VS MongoDB and see what are their differences

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neo4j

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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2023-05-09

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2023-10-21

neo4j

Website: neo4j.com
Pricing URL: Official neo4j Pricing
$ Details
Release Date: 2007 January
Startup details
Country: United States
State: California
City: San Mateo
Founder(s): Emil Eifrem
Employees: 500 - 999

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MongoDB

Website: mongodb.com
Pricing URL: -
$ Details
Release Date: -

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neo4j features and specs

Graph DB

MongoDB features and specs

Scalability
MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
Flexible Schema
It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
High Performance
MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
Rich Query Language
Supports a rich and expressive query language that allows for efficient querying and analytics.
Built-in Replication
Provides robust replication mechanisms for high availability and redundancy.
Geospatial Indexing
Offers powerful geospatial indexing capabilities, useful for location-based applications.
Aggregation Framework
Enables complex data manipulations and transformations using the aggregation pipeline framework.
Cross-Platform
Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

Memory Usage
MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
Complex Transactions
While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
Data Redundancy
The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
Limited Joins
Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
Indexing Overhead
Extensive indexing can introduce overhead and impact performance, especially during write operations.
Learning Curve
Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
Lacks Mature Analytical Tools
The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
Cost
The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

neo4j videos

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All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

MongoDB videos

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MySQL vs MongoDB

Category Popularity

0-100% (relative to neo4j and MongoDB)

MongoDB

Databases

31 31%

Databases

69% 69

Graph Databases

73 73%

Graph Databases

27% 27

NoSQL Databases

30 30%

NoSQL Databases

70% 70

Relational Databases

0 0%

Relational Databases

100% 100

User comments

Share your experience with using neo4j and MongoDB. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare neo4j and MongoDB

Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition

Source: www.predictiveanalyticstoday.com

ArangoDB vs Neo4j - What you can't do with Neo4j

Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.

Source: www.arangodb.com

MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024

MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.

Source: genezio.com

Top 7 Firebase Alternatives for App Development in 2024

MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:

Source: signoz.io

Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative

MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.

Source: blog.ferretdb.io

16 Top Big Data Analytics Tools You Should Know About

The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.

Source: www.analytixlabs.co.in

9 Best MongoDB alternatives in 2019

MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.

Source: www.guru99.com

Social recommendations and mentions

Based on our record, neo4j should be more popular than MongoDB. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

neo4j mentions (34)

6 retrieval augmented generation (RAG) techniques you should know
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 6 days ago
LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 8 days ago
10 Ways AI Can Speed Up your Mobile App Development
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 2 months ago
Databases in 2024: A Year in Review
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 4 months ago
Installing Neo4j In Ubuntu
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago

MongoDB mentions (18)

Creating AI Memories using Rig & MongoDB
In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / about 2 months ago
The Adventures of Blink S2e2: Database, Contained
Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 9 months ago
Introducing Perseid: The Product-oriented JS framework
It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 8 months ago
DocumentDB Elastic Cluster Pricing
Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago

What are some alternatives?

When comparing neo4j and MongoDB, you can also consider the following products

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

MySQL - The world's most popular open source database

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

PostgreSQL vs MongoDB

OrientDB vs neo4j

OrientDB vs MongoDB