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DBMS > Alibaba Cloud Table Store vs. Apache Druid vs. ITTIA vs. Postgres-XL

System Properties Comparison Alibaba Cloud Table Store vs. Apache Druid vs. ITTIA vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonITTIA  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEdge Time Series DBMS with Real-Time Stream ProcessingBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.39
Rank#273  Overall
#24  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgwww.ittia.comwww.postgres-xl.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designwww.postgres-xl.org/­documentation
DeveloperAlibabaApache Software Foundation and contributorsITTIA L.L.C.
Initial release2016201220072014 infosince 2012, originally named StormDB
Current release29.0.1, April 20248.710 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C
Server operating systemshostedLinux
OS X
Unix
Linux
Windows
Linux
macOS
Data schemeschema-freeyes infoschema-less columns are supportedFixed schemayes
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL for queryingyesyes infodistributed, parallel query execution
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoyesACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemDatabase file passwordsfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreApache DruidITTIAPostgres-XL
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