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DBMS > AllegroGraph vs. Datomic vs. Drizzle vs. openGauss

System Properties Comparison AllegroGraph vs. Datomic vs. Drizzle vs. openGauss

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonopenGauss  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#187  Overall
#31  Document stores
#17  Graph DBMS
#7  RDF stores
Score2.29
Rank#133  Overall
#65  Relational DBMS
Score1.31
Rank#188  Overall
#94  Relational DBMS
Websiteallegrograph.comwww.datomic.comgitee.com/­opengauss
opengauss.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comgitee.com/­opengauss/­docs
opengauss.org/­en/­docs/­latest/­docs/­BriefTutorial/­BriefTutorial.html
DeveloperFranz Inc.CognitectDrizzle project, originally started by Brian AkerHuawei and openGauss community
Initial release2004201220082019
Current release7.2.0, October 20211.0.6362, January 20227.2.4, September 20123.0, March 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C, C++, Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Linux
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infowith proprietary extensionsANSI SQL 2011
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJDBCJDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C
C++
Java
PHP
C
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsnoyes
TriggersyesBy using transaction functionsno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphDatomicDrizzleopenGauss
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

What is a Semantic Layer?
6 January 2023

AllegroGraph Named “2023 – Trend Setting Product” by Database Trends and Applications
4 January 2023

The Hype Around Semantic Layers: How Important Are Standards?
11 November 2022

AllegroGraph Named “2022 Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2022

Using Ansible for AllegroGraph multi-server installation
7 November 2022

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AllegroGraphDatomicDrizzleopenGauss
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