DBMS > MongoDB vs. Neo4j vs. YDB
System Properties Comparison MongoDB vs. Neo4j vs. YDB
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|Editorial information provided by DB-Engines
|MongoDB Xexclude from comparison
|Neo4j Xexclude from comparison
|YDB Xexclude from comparison
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
|A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
|Primary database model
|Secondary database models
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|6.0.7, June 2023
|5.16, January 2024
|License Commercial or Open Source
|Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
|Open Source GPL version3, commercial licenses available
|Open Source Apache 2.0; commercial license available
|Cloud-based only Only available as a cloud service
|no MongoDB available as DBaaS (MongoDB Atlas)
|DBaaS offerings (sponsored links) Database as a Service
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|MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
|Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
|Server operating systems
|Linux Can also be used server-less as embedded Java database.
|schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
|schema-free and schema-optional
|Flexible Schema (defined schema, partial schema, schema free)
|Typing predefined data types such as float or date
|yes string, integer, double, decimal, boolean, date, object_id, geospatial
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes pluggable indexing subsystem, by default Apache Lucene
|SQL Support of SQL
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|SQL-like query language (YQL)
|APIs and other access methods
proprietary protocol using JSON
Cypher query language
Neo4j-OGM Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
|RESTful HTTP API (DynamoDB compatible)
|Supported programming languages
|Actionscript unofficial driver
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Server-side scripts Stored procedures
|yes User defined Procedures and Functions
|yes in MongoDB Atlas only
|yes via event handler
|Partitioning methods Methods for storing different data on different nodes
|Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
|yes using Neo4j Fabric
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-Source deployments with MongoDB Atlas Global Clusters
|Causal Clustering using Raft protocol available in in Enterprise Version only
|Active-passive shard replication
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Eventual Consistency can be individually decided for each read operation
Immediate Consistency default behaviour
|Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
|Foreign keys Referential integrity
|no typically not used, however similar functionality with DBRef possible
|yes Relationships in graphs
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Multi-document ACID Transactions with snapshot isolation
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes optional, enabled by default
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes In-memory storage engine introduced with MongoDB version 3.2
|User concepts Access control
|Access rights for users and roles
|Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
|Access rights defined for Yandex Cloud users
|More information provided by the system vendor
|MongoDB provides an integrated suite of cloud database and data services to accelerate...
|Neo4j delivers graph technology that has been battle tested for performance and scale...
|Built around the flexible document data model and unified API, MongoDB is a developer...
|Neo4j is the market leader, graph database category creator, and the most widely...
|Typical application scenarios
|AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
|Real-Time Recommendations Master Data Management Identity and Access Management Network...
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
|Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
|Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
|Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
|Licensing and pricing models
|MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
|GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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