MongoDB vs Neo4j Graph Database comparison

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MongoDB Logo
8,705 views|6,091 comparisons
91% willing to recommend
Neo4j Logo
1,080 views|731 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between MongoDB and Neo4j Graph Database based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: May 2024).
772,649 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It is very fast - faster than an SQL or MySQL Server.""Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.""It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings.""The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that.""MongoDB has a simple data-loading interface.""It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things.""It is really a pretty easy product to use. It's very reliable, it's proven.""MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."

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"As a graph database, I am surprised at their performance and response time.""Enables people to understand what the business problem is and how the technology helps.""Creates the ability to visualize outputs."

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Cons
"From my point of view, they need a totally free IDE to work at high levels.""The solution should have better integration.""It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this.""The solution can be a bit tough to set up if you don't have knowledge about how the database works.""MongoDB should not be used for reporting, analytics, or number-crunching tasks.""MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint.""The product's data consistency could be more efficient than traditional SQLs.""The solution could include more integrations with other platforms."

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"So far, we have not had any issues and are happy with the product in general.""There are concerns about performance and whether the tool can necessarily scale to provide the solution."

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Pricing and Cost Advice
  • "We are using the Community Edition of MongoDB."
  • "It is rather expensive."
  • "MongoDB is an open-source solution."
  • "This is an open-source solution."
  • "We use the open-source version, which is available to use free of charge."
  • "I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
  • "MongoDB is not expensive."
  • "At the moment, all customers are using the community version."
  • More MongoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
    Top Answer:The product is affordable, but I don't have direct comparisons with other products as I haven't been involved in the billing process.
    Top Answer:Improvements could be made in query optimization, particularly when performing lookups or joining tables. Input functions to restrict the amount of data passed in pipelines would be beneficial for… more »
    Top Answer:As a graph database, I am surprised at their performance and response time.
    Top Answer:I don't have information about the license fee amount. That said, I know that the Neo4j license fee is more expensive than a local solution. There aren't really any extra costs. However, if we need a… more »
    Top Answer:So far, we have not had any issues and are happy with the product in general.
    Ranking
    1st
    out of 18 in NoSQL Databases
    Views
    8,705
    Comparisons
    6,091
    Reviews
    28
    Average Words per Review
    354
    Rating
    7.9
    7th
    out of 18 in NoSQL Databases
    Views
    1,080
    Comparisons
    731
    Reviews
    1
    Average Words per Review
    872
    Rating
    9.0
    Comparisons
    InfluxDB logo
    Compared 30% of the time.
    Couchbase logo
    Compared 17% of the time.
    ScyllaDB logo
    Compared 12% of the time.
    Cassandra logo
    Compared 6% of the time.
    Red Hat Data Grid logo
    Compared 2% of the time.
    Learn More
    Overview

    Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

    MongoDB Features

    MongoDB has many valuable key features. Some of the most useful ones include:

    • Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.
    • Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.
    • Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.
    • Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.
    • Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

    MongoDB Benefits

    There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

    • Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.
    • Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.
    • Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.
    • Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.
    • High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.
    • Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.
    • Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

    PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

    A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

    Neo4j is the graph database solution allowing the analysis of complex relationships and patterns in data, leading to better decision-making and improved business processes. The graph database offers easy data integration from multiple sources, providing a more comprehensive view. 

    The most valuable aspect of a graph database is its performance and response time, as it does not use the join function and only has nodes and raw data. Overall, Neo4j, as a global first-ranking solution, has helped organizations become more efficient and effective in data analysis and decision-making processes.

    Sample Customers
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn
    Top Industries
    REVIEWERS
    Computer Software Company28%
    Financial Services Firm16%
    Legal Firm6%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company14%
    University7%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company16%
    University9%
    Energy/Utilities Company9%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise14%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise13%
    Large Enterprise62%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise16%
    Large Enterprise63%
    Buyer's Guide
    NoSQL Databases
    May 2024
    Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    MongoDB is ranked 1st in NoSQL Databases with 70 reviews while Neo4j Graph Database is ranked 7th in NoSQL Databases with 3 reviews. MongoDB is rated 8.2, while Neo4j Graph Database is rated 8.4. The top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". On the other hand, the top reviewer of Neo4j Graph Database writes "Lots of training and documentation and excellent performance". MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Cassandra and Red Hat Data Grid, whereas Neo4j Graph Database is most compared with Cassandra, SingleStore, ScyllaDB, Accumulo and InfluxDB.

    See our list of best NoSQL Databases vendors.

    We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.