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DBMS > Alibaba Cloud MaxCompute vs. Graph Engine vs. Kinetica vs. Quasardb vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Graph Engine vs. Kinetica vs. Quasardb vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesGraph DBMS
Key-value store
Relational DBMSTime Series DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#220  Overall
#102  Relational DBMS
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score0.72
Rank#234  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputewww.graphengine.iowww.kinetica.comquasar.airdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.graphengine.io/­docs/­manualdocs.kinetica.comdoc.quasar.ai/­masterrdf4j.org/­documentation
DeveloperAlibabaMicrosoftKineticaquasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162010201220092004
Current release7.1, August 20213.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC, C++C++Java
Server operating systemshosted.NETLinuxBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaC#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayesuser defined functionsnoyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes infoby using LevelDByes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelCryptographically strong user authentication and audit trailno

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More resources
Alibaba Cloud MaxComputeGraph Engine infoformer name: TrinityKineticaQuasardbRDF4J infoformerly known as Sesame
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