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DBMS > Alibaba Cloud Table Store vs. Apache Druid vs. Quasardb vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. Apache Druid vs. Quasardb vs. Splice Machine

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  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 dataDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Time Series DBMSRelational 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgquasar.aisplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperAlibabaApache Software Foundation and contributorsquasardbSplice Machine
Initial release2016201220092014
Current release29.0.1, April 20243.14.1, January 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license available
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 languageJavaC++Java
Server operating systemshostedLinux
OS X
Unix
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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 indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLnoSQL for queryingSQL-like query languageyes
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoyes infoJava
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeyes
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 systemCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud Table StoreApache DruidQuasardbSplice Machine
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