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DBMS > AllegroGraph vs. MongoDB vs. Riak KV

System Properties Comparison AllegroGraph vs. MongoDB vs. Riak KV

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed, fault tolerant key-value store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#165  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score453.83
Rank#5  Overall
#1  Document stores
Score5.38
Rank#69  Overall
#9  Key-value stores
Websiteallegrograph.comwww.mongodb.comriak.com/­products/­riak-kv
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.mongodb.com/­manual
DeveloperFranz Inc.MongoDB, IncBasho Technologies
Initial release200420092009
Current release7.0.0, April 20204.4.2, November 20202.1.0, April 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase 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 languageC++Erlang
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeyes infoRDF schemasschema-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
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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.no infobulk load of XML files possibleno
Secondary indexesyesyesrestricted
SQL infoSupport of SQLSPARQL is used as query languageRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsRESTful HTTP API
SPARQL
proprietary protocol using JSONHTTP API
Native Erlang Interface
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Rust
Scala
Smalltalk infoinofficial driver
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJavaScriptJavaScript and Erlang
Triggersyesyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesno
More information provided by the system vendor
AllegroGraphMongoDBRiak KV
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

Data Fabrics and Knowledge Graphs — A Symbiotic Relationship
6 November 2020

RDF vs Property Graph – The Graph Show
3 November 2020

Text Analytics Forum 2020 – KMWorld Connect
27 October 2020

Sharing Ontologies Globally To Speed Science And Healthcare Solutions – OntoPortal
7 October 2020

Knowledge Graphs: A Single Source of Truth for the Enterprise
5 October 2020

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
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