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

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

Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonJaguarDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingPerformant, 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 modelTime Series DBMSKey-value store
Vector DBMS
Time Series DBMSSearch engineSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#274  Overall
#23  Time Series DBMS
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.ittia.comwww.jaguardb.comsiridb.comsolr.apache.orgsphinxsearch.com
Technical documentationwww.jaguardb.com/­support.htmldocs.siridb.comsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperITTIA L.L.C.DataJaguar, Inc.CesbitApache Software FoundationSphinx Technologies Inc.
Initial release20072015201720062001
Current release8.73.3 July 20239.5.0, February 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen 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 and C++C++ infothe server part. Clients available in other languagesCJavaC++
Server operating systemsLinux
Windows
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 schemeFixed schemayesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyes 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.nononoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC
C++
JavaScript (Node.js)
Python
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 proceduresyesnonoJava pluginsno
Triggersnononoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlDatabase file passwordsrights management via user accountssimple rights management via user accountsyesno

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More resources
ITTIAJaguarDBSiriDBSolrSphinx
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