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

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

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionPerformant, 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 databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value store
Vector DBMS
Time Series DBMSSearch engineSearch engineObject oriented DBMS
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
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.jaguardb.comsiridb.comsolr.apache.orgsphinxsearch.comwakanda.github.io
Technical documentationwww.jaguardb.com/­support.htmldocs.siridb.comsolr.apache.org/­resources.htmlsphinxsearch.com/­docswakanda.github.io/­doc
DeveloperDataJaguar, Inc.CesbitApache Software FoundationSphinx Technologies Inc.Wakanda SAS
Initial release20152017200620012012
Current release3.3 July 20239.5.0, February 20243.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesCJavaC++C++, JavaScript
Server operating systemsLinuxLinuxAll 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
Linux
OS X
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyes infoNumeric datayes infosupports customizable data types and automatic typingnoyes
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.nonoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Proprietary protocolRESTful HTTP API
Supported programming languagesC
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
JavaScript
Server-side scripts infoStored proceduresnonoJava pluginsnoyes
Triggersnonoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesyesno
User concepts infoAccess controlrights management via user accountssimple rights management via user accountsyesnoyes

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More resources
JaguarDBSiriDBSolrSphinxWakandaDB
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