DBMS > GraphDB vs. MongoDB vs. OrientDB

System Properties Comparison GraphDB vs. MongoDB vs. OrientDB

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Editorial information provided by DB-Engines

Name

Description

Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization support

One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure

Multi-model DBMS (Document, Graph, Key/Value)

Primary database model

Graph DBMS
RDF store

Document store

Document store
Graph DBMS
Key-value store

Secondary database models

Search engine

integrated Lucene index, currently in MongoDB Atlas only.

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.11
Rank	#121	Overall
	#8	Graph DBMS
	#5	RDF stores

Score	457.22
Rank	#5	Overall
	#1	Document stores

Score	5.33
Rank	#68	Overall
	#10	Document stores
	#3	Graph DBMS
	#10	Key-value stores

Website

graphdb.ontotext.com

www.mongodb.com

orientdb.org

Technical documentation

graphdb.ontotext.com/documentation

docs.mongodb.com/manual

www.orientdb.com/docs/last/index.html

Developer

Ontotext

MongoDB, Inc

OrientDB LTD; CallidusCloud; SAP

Initial release

2000

2009

2010

Current release

9.4, September 2020

4.4.3 , December 2020

3.1.0, June 2020

License

Commercial or Open Source

commercial

limited edition free

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

Apache version 2

Cloud-based only

Only available as a cloud service

Named S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.

MongoDB available as DBaaS (MongoDB Atlas)

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

Java

C++

Java

Server operating systems

All OS with a Java VM
Linux
OS X
Windows

Linux
OS X
Solaris
Windows

All OS with a Java JDK (>= JDK 6)

Data scheme

schema-free and OWL/RDFS-schema support

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

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

Typing

predefined data types such as float or date

yes

string, integer, double, decimal, boolean, date, object_id, geospatial

yes

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.

Secondary indexes

yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes

yes

SQL

Support of SQL

SPARQL is used as query language

Read-only SQL queries via the MongoDB Connector for BI

SQL-like query language, no joins

APIs and other access methods

GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1

proprietary protocol using JSON

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Actionscript

unofficial driver
C
C#
C++
Clojure

unofficial driver
ColdFusion

unofficial driver
D

unofficial driver
Dart

unofficial driver
Delphi

unofficial driver
Erlang
Go
Groovy

unofficial driver
Haskell
Java
JavaScript
Lisp

unofficial driver
Lua

unofficial driver
MatLab

unofficial driver
Perl
PHP
PowerShell

unofficial driver
Prolog

unofficial driver
Python
R

unofficial driver
Ruby
Rust
Scala
Smalltalk

unofficial driver
Swift

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

Java Server Plugin

JavaScript

Java, Javascript

Triggers

yes

in MongoDB Atlas only

Hooks

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

partitioned by hashed, ranged, or zoned sharding keys

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication

Multi-source replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Foreign keys

Referential integrity

yes

Constraint checking

typically not used, however similar functionality with DBRef possible

yes

relationship in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Multi-document ACID Transactions with snapshot isolation

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optional

yes

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

yes

Access rights for users and roles

Access rights for users and roles; record level security configurable

More information provided by the system vendor

Specific characteristics

GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more

MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more

Competitive advantages

GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more

The MongoDB platform can be used by developers building transactional, operational,...
» more

Typical application scenarios

Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more

Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more

Key customers

BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more

Market metrics

GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more

125 million downloads (growing at more than 30 thousand downloads per day), over...
» more

Licensing and pricing models

GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

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Conferences and events

more DBMS events

Knowledge Graphs for Enterprise Data Management
Webinar, 4pm GMT, 8am PST, 5pm CET, 5 November 2020 (finished)

Recent citations in the news

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

provided by Google News

MongoDB a top pick at Oppenheimer on strong tailwinds
5 January 2021, Seeking Alpha

MongoDB: A Database For The New Era
19 January 2021, CTOvision

Up 173% in 2020, Is MongoDB a Buy Now?
6 January 2021, Motley Fool

Data masking from 3T has MongoDB security automation covered
13 January 2021, ComputerWeekly.com

MongoDB, Inc. to Present at the Goldman Sachs Virtual Technology and Internet Conference 2021 and the 23rd Annual Needham Virtual Growth Conference
5 January 2021, Yahoo Finance

provided by Google News

NoSQL Databases Software Market 2021 by Top Key Players- MongoDB Amazon ArangoDB Azure Cosmos DB Couchbase MarkLogic RethinkDB CouchDB SQL-RD OrientDB RavenDB Redis
20 January 2021, Murphy's Hockey Law

Global Graph Database Market CAGR Growth Forecast Outlook | Oracle, IBM, Neo Technology, OrientDB, Franz, DataStax, Sirma AI, ArangoDB GmbH, Sparsity Technologies, and Objectivity
16 January 2021, NeighborWebSJ

Graph Database Market Research, Industry Overview by Key Players – Tibco Software, Neo4j, AWS, Microsoft, OrientDB Ltd, triAGENS GmbH(Arango DB), Cray, MarkLogic, Franz Inc(AllegroGraph), Bitnine Global, Cayley, Twitter(FlockDB), Teradata(SQL-GR), IBM, SAP, Apache, Oracle, Titan, Marklogic, HyperGraphDB, Datastax
12 January 2021, Jumbo News

Graph Database Market Growth Revenue, Regional Insights, Trends & Growth Forecast To 2027| Oracle, IBM, Neo Technology, OrientDB, Franz, DataStax
19 January 2021, Jumbo News

Global NoSQL Software Market 2020 Set To See Future Growth till 2024: Key Contributors MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis, Microsoft
14 January 2021, Jumbo News

provided by Google News

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