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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Kylin  Xexclude from comparisonDatomic  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 dataA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgkylin.apache.orgwww.datomic.comwww.postgres-xl.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designkylin.apache.org/­docsdocs.datomic.comwww.postgres-xl.org/­documentation
DeveloperAlibabaApache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay IncCognitect
Initial release20162012201520122014 infosince 2012, originally named StormDB
Current release29.0.1, April 20243.1.0, July 20201.0.7075, December 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, ClojureC
Server operating systemshostedLinux
OS X
Unix
LinuxAll OS with a Java VMLinux
macOS
Data schemeschema-freeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingANSI SQL for queries (using Apache Calcite)noyes infodistributed, parallel query execution
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsuser defined functions
TriggersnonoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peershorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes inforecommended only for testing and developmentno
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 systemnofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreApache DruidApache KylinDatomicPostgres-XL
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