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DBMS > Amazon DocumentDB vs. Elasticsearch vs. LevelDB vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. Elasticsearch vs. LevelDB vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA 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 metricEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeSearch engineKey-value storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbwww.elastic.co/­elasticsearchgithub.com/­google/­leveldbpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guides
DeveloperElasticGoogleApache Software Foundation
Initial release2019201020112012
Current release8.6, January 20231.23, February 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemshostedAll OS with a Java VMIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexednoyes infovia views
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresnoyesnoView functions in JavaScript
Triggersnoyes infoby using the 'percolation' featurenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 controlAccess rights for users and rolesnono

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Amazon DocumentDBElasticsearchLevelDBPouchDB
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