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DBMS > AllegroGraph vs. Altibase vs. Google Cloud Bigtable vs. TinkerGraph vs. Tkrzw

System Properties Comparison AllegroGraph vs. Altibase vs. Google Cloud Bigtable vs. TinkerGraph vs. Tkrzw

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAltibase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn enterprise grade, high-performance RDBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA 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
Relational DBMSKey-value store
Wide column store
Graph DBMSKey-value store
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
Score1.21
Rank#182  Overall
#83  Relational DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score0.13
Rank#347  Overall
#33  Graph DBMS
Score0.05
Rank#380  Overall
#59  Key-value stores
Websiteallegrograph.comaltibase.comcloud.google.com/­bigtabletinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlindbmx.net/­tkrzw
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­bigtable/­docs
DeveloperFranz Inc.AltibaseGoogleMikio Hirabayashi
Initial release20041999201520092020
Current release8.0, December 2023v7.3, 2023, August 20230.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
hostedLinux
macOS
Data schemeyes infoRDF schemasyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 possiblenononono
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL-92nonono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispstored procedures and stored functionsnonono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesInternal replication in Colossus, and regional replication between two clusters in different zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infousing specific database classes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono
More information provided by the system vendor
AllegroGraphAltibaseGoogle Cloud BigtableTinkerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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More resources
AllegroGraphAltibaseGoogle Cloud BigtableTinkerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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