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DBMS > AllegroGraph vs. Drizzle vs. Postgres-XL vs. Solr

System Properties Comparison AllegroGraph vs. Drizzle vs. Postgres-XL vs. Solr

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSolr  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 DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteallegrograph.comwww.postgres-xl.orgsolr.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.postgres-xl.org/­documentationsolr.apache.org/­resources.html
DeveloperFranz Inc.Drizzle project, originally started by Brian AkerApache Software Foundation
Initial release200420082014 infosince 2012, originally named StormDB2006
Current release8.0, December 20237.2.4, September 201210 R1, October 20189.6.0, April 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGNU GPLOpen Source infoMozilla public licenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes infoRDF schemasyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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 possibleyes infoXML type, but no XML query functionalityyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsyes infodistributed, parallel query executionSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
PHP
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsJava plugins
Triggersyesno infohooks for callbacks inside the server can be used.yesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AllegroGraphDrizzlePostgres-XLSolr
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
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