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DBMS > Alibaba Cloud MaxCompute vs. Apache Jena - TDB vs. Google Cloud Spanner vs. HugeGraph vs. Kingbase

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Jena - TDB vs. Google Cloud Spanner vs. HugeGraph vs. Kingbase

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHugeGraph  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRDF storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputejena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­spannergithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cn
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputejena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­spanner/­docshugegraph.apache.org/­docs
DeveloperAlibabaApache Software Foundation infooriginally developed by HP LabsGoogleBaiduBeiJing KINGBASE Information technologies inc.
Initial release20162000201720181999
Current release4.9.0, July 20230.9V8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and Java
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS
Unix
Linux
Windows
Data schemeyesyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesnoyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like query languagenoyes infoQuery statements complying to ANSI 2011noStandard with numerous extensions
APIs and other access methodsFluentd
Flume
MaxCompute Console
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesJavaJavaGo
Java
JavaScript (Node.js)
Python
Groovy
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesnoasynchronous Gremlin script jobsuser defined functions
Triggersnoyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication with 3 replicas for regional instances.yes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACID infoStrict serializable isolationACIDACID
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 controlAccess rights for users and rolesAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeApache Jena - TDBGoogle Cloud SpannerHugeGraphKingbase
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