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DBMS > Citus vs. Hive vs. Quasardb vs. Typesense

System Properties Comparison Citus vs. Hive vs. Quasardb vs. Typesense

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonTypesense  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 databaseA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitewww.citusdata.comhive.apache.orgquasar.aitypesense.org
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­mastertypesense.org/­docs
DeveloperApache Software Foundation infoinitially developed by Facebookquasardb
Initial release2010201220092015
Current release8.1, December 20183.1.3, April 20223.14.1, January 2024
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 licensesOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C++
Server operating systemsLinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
Data schemeyesyesschema-freeschema-free infopre-defined schema optional
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.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
HTTP APIRESTful 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
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
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-reducenono
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 factorMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoTransient modeyes
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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CitusHiveQuasardbTypesense
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