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DBMS > Ignite vs. Kyligence Enterprise vs. Solr

System Properties Comparison Ignite vs. Kyligence Enterprise vs. Solr

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonKyligence Enterprise  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.A distributed analytics engine for big data, built on top of Apache KylinA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value store
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.40
Rank#275  Overall
#125  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websiteignite.apache.orgkyligence.io/­kyligence-enterprisesolr.apache.org
Technical documentationapacheignite.readme.io/­docssolr.apache.org/­resources.html
DeveloperApache Software FoundationKyligence, Inc.Apache Software Foundation
Initial release201520162006
Current releaseApache Ignite 2.69.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes 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.yesnoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLANSI SQL for queries (using Apache Calcite)Solr Parallel SQL Interface
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.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)Java plugins
Triggersyes (cache interceptors and events)yes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes

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IgniteKyligence EnterpriseSolr
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