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DBMS > Hive vs. Memcached vs. Postgres-XL vs. Prometheus vs. Quasardb

System Properties Comparison Hive vs. Memcached vs. Postgres-XL vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMemcached  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory key-value store, originally intended for cachingBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitehive.apache.orgwww.memcached.orgwww.postgres-xl.orgprometheus.ioquasar.ai
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­memcached/­memcached/­wikiwww.postgres-xl.org/­documentationprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release201220032014 infosince 2012, originally named StormDB20152009
Current release3.1.3, April 20221.6.27, May 202410 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSD licenseOpen Source infoMozilla public licenseOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCCGoC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Linux
macOS
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes 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 infoXML type, but no XML query functionalityno infoImport of XML data possibleno
Secondary indexesyesnoyesnoyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infodistributed, parallel query executionnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON APIHTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallityyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail

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HiveMemcachedPostgres-XLPrometheusQuasardb
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