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DBMS > Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. IRONdb vs. Kinetica vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. IRONdb vs. Kinetica vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is 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 warehousingHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsRDF4J 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 tablesDocument store
Key-value store
Time Series DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­maxcomputeatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.circonus.com/solutions/time-series-database/www.kinetica.comrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comrdf4j.org/­documentation
DeveloperAlibabaAtos Convergence CreatorsCirconus LLC.KineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162016201720122004
Current release1703V0.10.20, January 20187.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen 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 languageJavaC and C++C, C++Java
Server operating systemshostedLinuxLinuxLinuxLinux
OS X
Unix
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptionalyes infotext, numeric, histogramsyesyes
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.noyesnono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
LDAPHTTP APIJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes, in Luauser defined functionsyes
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonoACID 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.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnoAccess rights for users and roles on table levelno

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More resources
Alibaba Cloud MaxComputeAtos Standard Common RepositoryIRONdbKineticaRDF4J infoformerly known as Sesame
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