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DBMS > EJDB vs. Hive vs. OrigoDB vs. Quasardb vs. Sphinx

System Properties Comparison EJDB vs. Hive vs. OrigoDB vs. Quasardb vs. Sphinx

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHive  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)data warehouse software for querying and managing large distributed datasets, built on HadoopA fully ACID in-memory object graph databaseDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­Softmotions/­ejdbhive.apache.orgorigodb.comquasar.aisphinxsearch.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcwiki.apache.org/­confluence/­display/­Hive/­Homeorigodb.com/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperSoftmotionsApache Software Foundation infoinitially developed by FacebookRobert Friberg et alquasardbSphinx Technologies Inc.
Initial release201220122009 infounder the name LiveDB20092001
Current release3.1.3, April 20223.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC#C++C++
Server operating systemsserver-lessAll OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesUser defined using .NET types and collectionsyes 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 infocan be achieved using .NETno
Secondary indexesnoyesyesyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsin-process shared libraryJDBC
ODBC
Thrift
.NET Client API
HTTP API
LINQ
HTTP APIProprietary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
PHP
Python
.Net.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 proceduresnoyes infouser defined functions and integration of map-reduceyesnono
Triggersnonoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and rolesRole based authorizationCryptographically strong user authentication and audit trailno

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More resources
EJDBHiveOrigoDBQuasardbSphinx
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