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DBMS > Alibaba Cloud MaxCompute vs. Hive vs. Hypertable vs. Quasardb vs. VelocityDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Hive vs. Hypertable vs. Quasardb vs. VelocityDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonHive  Xexclude from comparisonHypertable  Xexclude from comparisonQuasardb  Xexclude from comparisonVelocityDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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 warehousingdata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as HadoopDistributed, high-performance timeseries databaseA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSWide column storeTime Series DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputehive.apache.orgquasar.aivelocitydb.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­mastervelocitydb.com/­UserGuide
DeveloperAlibabaApache Software Foundation infoinitially developed by FacebookHypertable Inc.quasardbVelocityDB Inc
Initial release20162012200920092011
Current release3.1.3, April 20220.9.8.11, March 20163.14.1, January 20247.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C#
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
OS X
Windows
Any that supports .NET
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binaryyes
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 indexesnoyesrestricted infoonly exact value or prefix value scansyes infowith tagsyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
Thrift
C++ API
Thrift
HTTP API.Net
Supported programming languagesJavaC++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Server-side scripts infoStored proceduresuser defined functions infoin Javayes infouser defined functions and integration of map-reducenonono
TriggersnonononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factorselectable replication factor on file system levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReduceyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailBased on Windows Authentication

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More resources
Alibaba Cloud MaxComputeHiveHypertableQuasardbVelocityDB
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