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DBMS > EJDB vs. Hypertable vs. Quasardb vs. Sphinx

System Properties Comparison EJDB vs. Hypertable vs. Quasardb vs. Sphinx

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeWide column storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­Softmotions/­ejdbquasar.aisphinxsearch.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperSoftmotionsHypertable Inc.quasardbSphinx Technologies Inc.
Initial release2012200920092001
Current release0.9.8.11, March 20163.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license availablecommercial 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++C++
Server operating systemsserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyes 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
Secondary indexesnorestricted infoonly exact value or prefix value scansyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsin-process shared libraryC++ API
Thrift
HTTP APIProprietary protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
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 proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yes infoTransient mode
User concepts infoAccess controlnonoCryptographically strong user authentication and audit trailno

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EJDBHypertableQuasardbSphinx
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