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DBMS > Hive vs. Prometheus vs. Quasardb vs. Sphinx vs. Transwarp StellarDB

System Properties Comparison Hive vs. Prometheus vs. Quasardb vs. Sphinx vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSSearch engineGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitehive.apache.orgprometheus.ioquasar.aisphinxsearch.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbSphinx Technologies Inc.Transwarp
Initial release2012201520092001
Current release3.1.3, April 20223.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageJavaGoC++C++
Server operating systemsAll OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infointeger and binaryno
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.no infoImport of XML data possibleno
Secondary indexesyesnoyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP APIProprietary protocolOpenCypher
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.yes
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 controlAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailnoyes

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More resources
HivePrometheusQuasardbSphinxTranswarp StellarDB
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