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DBMS > Elasticsearch vs. Kinetica vs. Memcached vs. Spark SQL

System Properties Comparison Elasticsearch vs. Kinetica vs. Memcached vs. Spark SQL

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  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 metricFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelSearch engineRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.kinetica.comwww.memcached.orgspark.apache.org/­sql
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.kinetica.comgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperElasticKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software Foundation
Initial release2010201220032014
Current release8.6, January 20237.1, August 20211.6.25, March 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoBSD licenseOpen Source infoApache 2.0
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, C++CScala
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedyesnono
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Proprietary protocolJDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersyes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitynone
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
ElasticsearchKineticaMemcachedSpark SQL
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