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DBMS > Apache Doris vs. Apache Hive vs. Quasardb

System Properties Comparison Apache Doris vs. Apache Hive vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Hive  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocoldata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#244  Overall
#115  Relational DBMS
Score72.65
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#333  Overall
#28  Time Series DBMS
Websitedoris.apache.org
github.com/­apache/­doris
hive.apache.orgquasar.ai
Technical documentationgithub.com/­apache/­doris/­wikicwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation infoinitially developed by Facebookquasardb
Initial release201720122009
Current release1.2.2, February 20233.1.3, April 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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.nono
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
Thrift
HTTP API
Supported programming languagesJavaC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesCryptographically strong user authentication and audit trail

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More resources
Apache DorisApache HiveQuasardb
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