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DBMS > Apache Druid vs. Quasardb vs. Sequoiadb vs. StarRocks

System Properties Comparison Apache Druid vs. Quasardb vs. Sequoiadb vs. StarRocks

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQLAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitedruid.apache.orgquasar.aiwww.sequoiadb.comwww.starrocks.io
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation and contributorsquasardbSequoiadb Ltd.The Linux Foundation infosince Feb 2023
Initial release2012200920132020
Current release29.0.1, April 20243.14.1, January 20243.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++, Java
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
LinuxLinux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query languageyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIproprietary protocol using JSONJDBC
MySQL protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Java
Server-side scripts infoStored proceduresnonoJavaScriptuser defined functions
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashingShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailsimple password-based access controlRole based access control and fine grained access rights

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More resources
Apache DruidQuasardbSequoiadbStarRocks
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