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

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

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  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 databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Vector DBMS
Time Series DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score47.84
Rank#21  Overall
#15  Relational DBMS
Websitewww.jaguardb.comsiridb.comsolr.apache.orgsphinxsearch.comwww.teradata.com
Technical documentationwww.jaguardb.com/­support.htmldocs.siridb.comsolr.apache.org/­resources.htmlsphinxsearch.com/­docsdocs.teradata.com
DeveloperDataJaguar, Inc.CesbitApache Software FoundationSphinx Technologies Inc.Teradata
Initial release20152017200620011984
Current release3.3 July 20239.5.0, February 20243.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availablecommercial
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++
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
hosted
Linux
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.nonoyesyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
HTTP APIJava API
RESTful HTTP/JSON API
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoJava pluginsnoyes infoUDFs, stored procedures, table functions in parallel
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 supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnoneMulti-source replication
Source-replica replication
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 integritynonononoyes
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.noyesyesyes
User concepts infoAccess controlrights management via user accountssimple rights management via user accountsyesnofine grained access rights according to SQL-standard

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More resources
JaguarDBSiriDBSolrSphinxTeradata
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