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DBMS > AllegroGraph vs. LeanXcale vs. searchxml vs. Tkrzw

System Properties Comparison AllegroGraph vs. LeanXcale vs. searchxml vs. Tkrzw

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonsearchxml  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDBMS for structured and unstructured content wrapped with an application serverA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value store
Relational DBMS
Native XML DBMS
Search engine
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteallegrograph.comwww.leanxcale.comwww.searchxml.net/­category/­productsdbmx.net/­tkrzw
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.searchxml.net/­support/­handouts
DeveloperFranz Inc.LeanXcaleinformationpartners gmbhMikio Hirabayashi
Initial release2004201520152020
Current release8.0, December 20231.00.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache Version 2.0
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 languageC++C++
Server operating systemsLinux
OS X
Windows
WindowsLinux
macOS
Data schemeyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 possibleyesno
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infothrough Apache Derbynono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
Java
Scala
C++ infomost other programming languages supported via APIsC++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoon the application serverno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infosychronisation to multiple collectionsnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writer
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
AllegroGraphLeanXcalesearchxmlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Awesome AI Companies – Franz Inc.
17 July 2024

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More resources
AllegroGraphLeanXcalesearchxmlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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