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DBMS > Elasticsearch vs. Memcached vs. ReductStore vs. Rockset vs. Splice Machine

System Properties Comparison Elasticsearch vs. Memcached vs. ReductStore vs. Rockset vs. Splice Machine

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMemcached  Xexclude from comparisonReductStore  Xexclude from comparisonRockset  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 cachingDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.A scalable, reliable search and analytics service in the cloud, built on RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelSearch engineKey-value storeTime Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.memcached.orggithub.com/­reductstore
www.reduct.store
rockset.comsplicemachine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­memcached/­memcached/­wikiwww.reduct.store/­docsdocs.rockset.comsplicemachine.com/­how-it-works
DeveloperElasticDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalReductStore LLCRocksetSplice Machine
Initial release20102003202320192014
Current release8.6, January 20231.6.25, March 20241.9, March 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSD licenseOpen Source infoBusiness Source License 1.1commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++, RustC++Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnodynamic typingyes
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.nono infoingestion from XML files supported
Secondary indexesyes infoAll search fields are automatically indexednoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoRead-only SQL queries, including JOINsyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocolHTTP APIHTTP RESTJDBC
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++
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnonoyes infoJava
Triggersyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallityyesMulti-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, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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) protocolAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
ElasticsearchMemcachedReductStoreRocksetSplice Machine
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