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DBMS > Alibaba Cloud MaxCompute vs. Kinetica vs. Microsoft Azure Table Storage vs. RDF4J vs. YDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Kinetica vs. Microsoft Azure Table Storage vs. RDF4J vs. YDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFully vectorized database across both GPUs and CPUsA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSWide column storeRDF storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.kinetica.comrdf4j.org/­documentationydb.tech/­en/­docs
DeveloperAlibabaKineticaMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yandex
Initial release20162012201220042019
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0; commercial license available
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 languageC, C++Java
Server operating systemshostedLinuxhostedLinux
OS X
Unix
Windows
Linux
Data schemeyesyesschema-freeyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free)
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.nononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnonoSQL-like query language (YQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javauser defined functionsnoyesno
Triggersnoyes 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 serviceShardingSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesnoAccess rights defined for Yandex Cloud users

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More resources
Alibaba Cloud MaxComputeKineticaMicrosoft Azure Table StorageRDF4J infoformerly known as SesameYDB
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