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DBMS > AllegroGraph vs. DuckDB vs. MongoDB

System Properties Comparison AllegroGraph vs. DuckDB vs. MongoDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDuckDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn embeddable, in-process, column-oriented SQL OLAP RDBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#154  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.18
Rank#291  Overall
#135  Relational DBMS
Score493.55
Rank#5  Overall
#1  Document stores
Websiteallegrograph.comduckdb.orgwww.mongodb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlduckdb.org/­docsdocs.mongodb.com/­manual
DeveloperFranz Inc.MongoDB, Inc
Initial release200420182009
Current release7.0.0, April 20200.2, August 20205.0, July 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMIT LicenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
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.
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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
server-lessLinux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesschema-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.
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
JDBC
proprietary protocol using JSON
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Go info3rd party driver
Java
Python
R
Ruby info3rd party driver
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
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
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJavaScript
Triggersyesnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users and roles
More information provided by the system vendor
AllegroGraphDuckDBMongoDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» 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 metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
News

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29 July 2021

Franz Inc. Named to KMWorld’s AI50
14 July 2021

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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Conferences and events

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