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DBMS > Citus vs. Hive vs. Quasardb

System Properties Comparison Citus vs. Hive vs. Quasardb

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#133  Overall
#65  Relational DBMS
Score79.48
Rank#17  Overall
#11  Relational DBMS
Score0.07
Rank#329  Overall
#29  Time Series DBMS
Websitewww.citusdata.comhive.apache.orgquasardb.net
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by Facebookquasardb
Initial release201020122009
Current release8.1, December 20183.1.2, August 20193.13.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen 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 languageCJavaC++
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.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable 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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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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