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DBMS > Alibaba Cloud MaxCompute vs. Hive vs. Ignite vs. Microsoft Azure SQL Database vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Hive vs. Ignite vs. Microsoft Azure SQL Database vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 warehousingdata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Database as a Service offering with high compatibility to Microsoft SQL ServerRDF4J 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 tablesRelational DBMSKey-value store
Relational DBMS
Relational DBMSRDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputehive.apache.orgignite.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaserdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlrdf4j.org/­documentation
DeveloperAlibabaApache Software Foundation infoinitially developed by FacebookApache Software FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162012201520102004
Current release3.1.3, April 2022Apache Ignite 2.6V12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetC++Java
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesyesyesyesyes infoRDF Schemas
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.noyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javayes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)Transact SQLyes
Triggersnonoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factoryes (replicated cache)yes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardno

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More resources
Alibaba Cloud MaxComputeHiveIgniteMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as Sesame
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