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DBMS > Elasticsearch vs. Memcached vs. Microsoft Azure Cosmos DB vs. Rockset

System Properties Comparison Elasticsearch vs. Memcached vs. Microsoft Azure Cosmos DB vs. Rockset

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRockset  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 cachingGlobally distributed, horizontally scalable, multi-model database serviceA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelSearch engineKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.79
Rank#7  Overall
#1  Search engines
Score20.81
Rank#32  Overall
#4  Key-value stores
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.01
Rank#201  Overall
#35  Document stores
Websitewww.elastic.co/­elasticsearchwww.memcached.orgazure.microsoft.com/­services/­cosmos-dbrockset.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­azure/­cosmos-dbdocs.rockset.com
DeveloperElasticDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftRockset
Initial release2010200320142019
Current release8.6, January 20231.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
hostedhosted
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesdynamic typing
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 indexednoyes infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsJava API
RESTful HTTP/JSON API
Proprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP REST
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
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoJavaScriptno
Triggersyes infoby using the 'percolation' featurenoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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, allBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 integration
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights can be defined down to the item levelAccess rights for users and organizations can be defined via Rockset console

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More resources
ElasticsearchMemcachedMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRockset
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