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DBMS > Elasticsearch vs. Ignite vs. MonetDB vs. searchxml

System Properties Comparison Elasticsearch vs. Ignite vs. MonetDB vs. searchxml

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonIgnite  Xexclude from comparisonMonetDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricApache 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 relational database management system that stores data in columnsDBMS for structured and unstructured content wrapped with an application server
Primary database modelSearch engineKey-value store
Relational DBMS
Relational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.elastic.co/­elasticsearchignite.apache.orgwww.monetdb.orgwww.searchxml.net/­category/­products
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapacheignite.readme.io/­docswww.monetdb.org/­Documentationwww.searchxml.net/­support/­handouts
DeveloperElasticApache Software FoundationMonetDB BVinformationpartners gmbh
Initial release2010201520042015
Current release8.6, January 2023Apache Ignite 2.6Dec2023 (11.49), December 20231.0
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetCC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI-99 for query and DML statements, subset of DDLyes infoSQL 2003 with some extensionsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, Ryes infoon the application server
Triggersyes infoby using the 'percolation' featureyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)none infoSource-replica replication available in experimental statusyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDmultiple readers, single writer
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.Memcached and Redis integrationyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
ElasticsearchIgniteMonetDBsearchxml
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