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DBMS > Alibaba Cloud MaxCompute vs. GeoSpock vs. GridDB vs. Hive vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. GeoSpock vs. GridDB vs. Hive vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridDB  Xexclude from comparisonHive  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingSpatial and temporal data processing engine for extreme data scaleScalable in-memory time series database optimized for IoT and Big Datadata warehouse software for querying and managing large distributed datasets, built on HadoopRDF4J 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 DBMSTime Series DBMSRelational DBMSRDF store
Secondary database modelsTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputegeospock.comgriddb.nethive.apache.orgrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.griddb.netcwiki.apache.org/­confluence/­display/­Hive/­Homerdf4j.org/­documentation
DeveloperAlibabaGeoSpockToshiba CorporationApache Software Foundation infoinitially developed by FacebookSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2016201320122004
Current release2.0, September 20195.1, August 20223.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++JavaJava
Server operating systemshostedhostedLinuxAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyesyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.nonono
Secondary indexesnotemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)SQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanonoyes infouser defined functions and integration of map-reduceyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelnoACID 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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per tableAccess rights for users can be defined per databaseAccess rights for users, groups and rolesno
More information provided by the system vendor
Alibaba Cloud MaxComputeGeoSpockGridDBHiveRDF4J infoformerly known as Sesame
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Alibaba Cloud MaxComputeGeoSpockGridDBHiveRDF4J infoformerly known as Sesame
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