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DBMS > Alibaba Cloud Table Store vs. Drizzle vs. Percona Server for MongoDB vs. Teradata Aster

System Properties Comparison Alibaba Cloud Table Store vs. Drizzle vs. Percona Server for MongoDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDrizzle  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Platform for big data analytics on multistructured data sources and types
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.alibabacloud.com/­product/­table-storewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.percona.com/­percona-distribution-for-mongodb
DeveloperAlibabaDrizzle project, originally started by Brian AkerPerconaTeradata
Initial release2016200820152005
Current release7.2.4, September 20123.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedFreeBSD
Linux
OS X
LinuxLinux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes
APIs and other access methodsHTTP APIJDBCproprietary protocol using JSONADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
Python
C
C++
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoJavaScriptR packages
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights based on subaccounts and tokensPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreDrizzlePercona Server for MongoDBTeradata Aster
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