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DBMS > Apache Doris vs. Apache Druid vs. JaguarDB vs. Microsoft Azure SQL Database

System Properties Comparison Apache Doris vs. Apache Druid vs. JaguarDB vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataPerformant, highly scalable DBMS for AI and IoT applicationsDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orgwww.jaguardb.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designwww.jaguardb.com/­support.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsDataJaguar, Inc.Microsoft
Initial release2017201220152010
Current release1.2.2, February 202329.0.1, April 20243.3 July 2023V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2Open Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinuxLinux
OS X
Unix
Linuxhosted
Data schemeyesyes infoschema-less columns are supportedyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL for queryingA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoTransact SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesMulti-source replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemrights management via user accountsfine grained access rights according to SQL-standard

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More resources
Apache DorisApache DruidJaguarDBMicrosoft Azure SQL Database infoformerly SQL Azure
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