DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AnzoGraph DB vs. MongoDB vs. Stardog vs. Virtuoso

System Properties Comparison AnzoGraph DB vs. MongoDB vs. Stardog vs. Virtuoso

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonMongoDB  Xexclude from comparisonStardog  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelGraph DBMS
RDF store
Document storeGraph DBMS
RDF store
Document store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score423.96
Rank#5  Overall
#1  Document stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score4.20
Rank#83  Overall
#14  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#45  Relational DBMS
#2  RDF stores
#9  Search engines
Websitecambridgesemantics.com/­anzographwww.mongodb.comwww.stardog.comvirtuoso.openlinksw.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.mongodb.com/­docs/­manualdocs.stardog.comdocs.openlinksw.com/­virtuoso
DeveloperCambridge SemanticsMongoDB, IncStardog-UnionOpenLink Software
Initial release2018200920101998
Current release2.3, January 20216.0.7, June 20237.3.0, May 20207.2.11, September 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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.
Implementation languageC++JavaC
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-free infoAlthough 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 OWL/RDFS-schema supportyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoImport/export of XML data possibleyes
Secondary indexesnoyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.Read-only SQL queries via the MongoDB Atlas SQL InterfaceYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesC++
Java
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavaScriptuser defined functions and aggregates, HTTP Server extensions in Javayes infoVirtuoso PL
Triggersnoyes infoin MongoDB Atlas onlyyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.noneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication in HA-ClusterChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights for users and rolesFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AnzoGraph DBMongoDBStardogVirtuoso
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Performance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Used for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Broad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Largest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» 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.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AnzoGraph DBMongoDBStardogVirtuoso
DB-Engines blog posts

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

show all

Conferences, events and webinars

Intro to MongoDB
Webinar, 11am ET, 1 May 2024

Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable?
19 September 2018, Forbes

provided by Google News

MongoDB CEO Dev Ittycheria talks AI hype and the database evolution as he crosses 10-year mark
28 April 2024, TechCrunch

Calculating The Fair Value Of MongoDB, Inc. (NASDAQ:MDB)
29 April 2024, Simply Wall St

Looking Into MongoDB's Recent Short Interest - MongoDB (NASDAQ:MDB)
29 April 2024, Benzinga

AI has yet to transform my life, CEO says
29 April 2024, Business Insider

Stocks With Rising Relative Strength: MongoDB
29 April 2024, Investor's Business Daily

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Present your product here