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DBMS > Elasticsearch vs. MonetDB vs. Transwarp KunDB

System Properties Comparison Elasticsearch vs. MonetDB vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMonetDB  Xexclude from comparisonTranswarp KunDB  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 metricA relational database management system that stores data in columnsOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelSearch engineRelational DBMSRelational DBMS
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
Score135.35
Rank#7  Overall
#1  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.monetdb.orgwww.transwarp.cn/­en/­product/­kundb
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.monetdb.org/­Documentation
DeveloperElasticMonetDB BVTranswarp
Initial release20102004
Current release8.6, January 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes, in SQL, C, Ryes
Triggersyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
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 Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.Memcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
ElasticsearchMonetDBTranswarp KunDB
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Recent citations in the news

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29 April 2024, InfoQ.com

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