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DBMS > Hypertable vs. JaguarDB vs. SiriDB vs. Solr vs. Sphinx

System Properties Comparison Hypertable vs. JaguarDB vs. SiriDB vs. Solr vs. Sphinx

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonJaguarDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopPerformant, highly scalable DBMS for AI and IoT applicationsOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeKey-value store
Vector DBMS
Time Series DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score6.03
Rank#60  Overall
#6  Search engines
Websitewww.jaguardb.comsiridb.comsolr.apache.orgsphinxsearch.com
Technical documentationwww.jaguardb.com/­support.htmldocs.siridb.comsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperHypertable Inc.DataJaguar, Inc.CesbitApache Software FoundationSphinx Technologies Inc.
Initial release20092015201720062001
Current release0.9.8.11, March 20163.3 July 20239.5.0, February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL V3.0Open Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
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 languageC++C++ infothe server part. Clients available in other languagesCJavaC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenoyesyes infoNumeric datayes infosupports customizable data types and automatic typingno
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.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononoJava pluginsno
Triggersnononoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyes
User concepts infoAccess controlnorights management via user accountssimple rights management via user accountsyesno

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More resources
HypertableJaguarDBSiriDBSolrSphinx
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