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DBMS > Amazon Aurora vs. Elasticsearch vs. PouchDB vs. RisingWave

System Properties Comparison Amazon Aurora vs. Elasticsearch vs. PouchDB vs. RisingWave

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonElasticsearch  Xexclude from comparisonPouchDB  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA 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 metricJavaScript DBMS with an API inspired by CouchDBA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score2.18
Rank#114  Overall
#21  Document stores
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.elastic.co/­elasticsearchpouchdb.comwww.risingwave.com/­database
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlpouchdb.com/­guidesdocs.risingwave.com/­docs/­current/­intro
DeveloperAmazonElasticApache Software FoundationRisingWave Labs
Initial release2015201020122022
Current release8.6, January 20237.1.1, June 20191.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptRust
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoStandard SQL-types and JSON
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.yesnonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes infovia viewsyes
SQL infoSupport of SQLyesSQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
PostgreSQL wire protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScriptGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesView functions in JavaScriptUDFs in Python or Java
Triggersyesyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesno
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, allEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers and Roles

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More resources
Amazon AuroraElasticsearchPouchDBRisingWave
DB-Engines blog posts

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