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DBMS > Ignite vs. Microsoft Azure AI Search vs. Sequoiadb vs. Solr

System Properties Comparison Ignite vs. Microsoft Azure AI Search vs. Sequoiadb vs. Solr

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSequoiadb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Search-as-a-service for web and mobile app developmentNewSQL database with distributed OLTP and SQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Relational DBMS
Search engineDocument store
Relational DBMS
Search engine
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteignite.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.sequoiadb.comsolr.apache.org
Technical documentationapacheignite.readme.io/­docslearn.microsoft.com/­en-us/­azure/­searchwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsolr.apache.org/­resources.html
DeveloperApache Software FoundationMicrosoftSequoiadb Ltd.Apache Software Foundation
Initial release2015201520132006
Current releaseApache Ignite 2.6V19.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes 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.yesnonoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIproprietary protocol using JSONJava API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
.Net
C++
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noJavaScriptJava plugins
Triggersyes (cache interceptors and events)nonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoImplicit feature of the cloud serviceSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDocument is locked during a transactionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousing Azure authenticationsimple password-based access controlyes

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More resources
IgniteMicrosoft Azure AI SearchSequoiadbSolr
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