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DBMS > Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. Brytlyt vs. Hive vs. KairosDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. Brytlyt vs. Hive vs. KairosDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparison
This system has been discontinued and will be removed 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 networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iohive.apache.orggithub.com/­kairosdb/­kairosdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.brytlyt.iocwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.io
DeveloperAlibabaAtos Convergence CreatorsBrytlytApache Software Foundation infoinitially developed by Facebook
Initial release20162016201620122013
Current release17035.0, August 20233.1.3, April 20221.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0
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, C++ and CUDAJavaJava
Server operating systemshostedLinuxLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like DML and DDL statementsno
APIs and other access methodsFluentd
Flume
MaxCompute Console
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesJavaAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functions infoin PL/pgSQLyes infouser defined functions and integration of map-reduceno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesSource-replica replicationselectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and rolessimple password-based access control

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More resources
Alibaba Cloud MaxComputeAtos Standard Common RepositoryBrytlytHiveKairosDB
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