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DBMS > Elasticsearch vs. Memcached vs. MonetDB vs. Splice Machine

System Properties Comparison Elasticsearch vs. Memcached vs. MonetDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMemcached  Xexclude from comparisonMonetDB  Xexclude from comparisonSplice Machine  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 metricIn-memory key-value store, originally intended for cachingA relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineKey-value storeRelational 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
Score132.83
Rank#7  Overall
#1  Search engines
Score18.08
Rank#32  Overall
#4  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.memcached.orgwww.monetdb.orgsplicemachine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­memcached/­memcached/­wikiwww.monetdb.org/­Documentationsplicemachine.com/­how-it-works
DeveloperElasticDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMonetDB BVSplice Machine
Initial release2010200320042014
Current release8.6, January 20231.6.27, May 2024Dec2023 (11.49), December 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSD licenseOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0, commercial license available
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 languageJavaCCJava
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexednoyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocolJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, Ryes infoJava
Triggersyes infoby using the 'percolation' featurenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallitynone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectornonoYes, via Full Spark Integration
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 integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
ElasticsearchMemcachedMonetDBSplice Machine
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