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

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

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAltibase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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 concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.16
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.00
Rank#194  Overall
#91  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Websiteallegrograph.comaltibase.comcloud.google.com/­bigtabledbmx.net/­tkrzwtrafodion.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­bigtable/­docstrafodion.apache.org/­documentation.html
DeveloperFranz Inc.AltibaseGoogleMikio HirabayashiApache Software Foundation, originally developed by HP
Initial release20041999201520202014
Current release8.0, December 2023v7.3, 2023, August 20230.9.3, August 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2.0Open Source infoApache 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++C++C++, Java
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
hostedLinux
macOS
Linux
Data schemeyes infoRDF schemasyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL-92nonoyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispstored procedures and stored functionsnonoJava Stored Procedures
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnoneSharding
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 zonesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infovia user defined functions and HBase
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)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
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.noyesnoyes infousing specific database classesno
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)nofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphAltibaseGoogle Cloud BigtableTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTrafodion
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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