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DBMS > AllegroGraph vs. Datomic vs. Drizzle vs. MaxDB

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

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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.A robust and reliable RDBMS optimized to run all major SAP solutions
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#199  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score2.87
Rank#107  Overall
#54  Relational DBMS
Websiteallegrograph.comwww.datomic.commaxdb.sap.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.commaxdb.sap.com/­documentation
DeveloperFranz Inc.CognitectDrizzle project, originally started by Brian AkerSAP, acquired from Software AG (Adabas-D) in 1997
Initial release2004201220081984
Current release8.0, December 20231.0.6735, June 20237.2.4, September 20127.9.10 (January 2020), 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoGNU GPLcommercial infoLimited community edition free
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++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
AIX
HP-UX
Linux
Solaris
Windows
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 extensionsyes
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIJDBCADO.NET
JDBC
ODBC
WebDAV
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
C
C++
Java
PHP
.Net
C#
Java
Perl
PHP
Python
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 peersShardingnone
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, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDatomicDrizzleMaxDB infoformerly named Adabas-D
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

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

The New Stack Features AllegroGraph v8
2 January 2024

Knowledge Graph Technology Showcase Honest Review: AllegroGraph
2 January 2024

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More resources
AllegroGraphDatomicDrizzleMaxDB infoformerly named Adabas-D
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