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DBMS > JaguarDB vs. Microsoft Azure AI Search vs. Sadas Engine vs. SiriDB vs. Solr

System Properties Comparison JaguarDB vs. Microsoft Azure AI Search vs. Sadas Engine vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsSearch-as-a-service for web and mobile app developmentSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Vector DBMS
Search engineRelational DBMSTime Series DBMSSearch engine
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.jaguardb.comazure.microsoft.com/­en-us/­services/­searchwww.sadasengine.comsiridb.comsolr.apache.org
Technical documentationwww.jaguardb.com/­support.htmllearn.microsoft.com/­en-us/­azure/­searchwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comsolr.apache.org/­resources.html
DeveloperDataJaguar, Inc.MicrosoftSADAS s.r.l.CesbitApache Software Foundation
Initial release20152015200620172006
Current release3.3 July 2023V18.09.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialcommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++CJava
Server operating systemsLinuxhostedAIX
Linux
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
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
Server-side scripts infoStored proceduresnonononoJava plugins
Triggersnonononoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud servicenoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlrights management via user accountsyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsyes

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More resources
JaguarDBMicrosoft Azure AI SearchSadas EngineSiriDBSolr
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