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DBMS > AllegroGraph vs. GBase vs. Google Cloud Bigtable vs. LeanXcale vs. OushuDB

System Properties Comparison AllegroGraph vs. GBase vs. Google Cloud Bigtable vs. LeanXcale vs. OushuDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial 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
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websiteallegrograph.comwww.gbase.cncloud.google.com/­bigtablewww.leanxcale.comwww.oushu.com/­product/­oushuDB
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­bigtable/­docswww.oushu.com/­documentation
DeveloperFranz Inc.General Data Technology Co., Ltd.GoogleLeanXcaleOushu
Initial release2004200420152015
Current release8.0, December 2023GBase 8a, GBase 8s, GBase 8c4.0.1, August 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercialcommercial
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, Java, Python
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
Data schemeyes infoRDF schemasyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageStandard with numerous extensionsnoyes infothrough Apache DerbyFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
C
C++
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsnoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes
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 zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoHadoop integration
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 Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Kerberos, SSL and role based access
More information provided by the system vendor
AllegroGraphGBaseGoogle Cloud BigtableLeanXcaleOushuDB
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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