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DBMS > AllegroGraph vs. Stardog vs. SWC-DB vs. Transbase vs. WakandaDB

System Properties Comparison AllegroGraph vs. Stardog vs. SWC-DB vs. Transbase vs. WakandaDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonStardog  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
RDF store
Wide column storeRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteallegrograph.comwww.stardog.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.htmlwakanda.github.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.stardog.comwww.transaction.de/­en/­products/­transbase/­features.htmlwakanda.github.io/­doc
DeveloperFranz Inc.Stardog-UnionAlex KashirinTransaction Software GmbHWakanda SAS
Initial release20042010202019872012
Current release8.0, December 20237.3.0, May 20200.5, April 2021Transbase 8.3, 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3commercial infofree development licenseOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++C++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-free and OWL/RDFS-schema supportschema-freeyesyes
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 possibleno infoImport/export of XML data possiblenonono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSPARQL is used as query languageYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query languageyesno
APIs and other access methodsRESTful HTTP API
SPARQL
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregates, HTTP Server extensions in Javanoyesyes
Triggersyesyes infovia event handlersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in HA-ClusterSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AllegroGraphStardogSWC-DB infoSuper Wide Column DatabaseTransbaseWakandaDB
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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