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DBMS > Amazon Aurora vs. CouchDB vs. Databricks vs. Elasticsearch

System Properties Comparison Amazon Aurora vs. CouchDB vs. Databricks vs. Elasticsearch

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 metric
Primary database modelRelational DBMSDocument storeDocument store
Relational DBMS
Search engine
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Websiteaws.amazon.com/­rds/­auroracouchdb.apache.orgwww.databricks.comwww.elastic.co/­elasticsearch
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.couchdb.org/­en/­stabledocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksElastic
Initial release2015200520132010
Current release3.3.3, December 20238.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoElastic License
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VM
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesnoyes
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.yesnoyesno
Secondary indexesyesyes infovia viewsyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnowith Databricks SQLSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesView functions in JavaScriptuser defined functions and aggregatesyes
Triggersyesyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per database
More information provided by the system vendor
Amazon AuroraCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksElasticsearch
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon AuroraCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksElasticsearch
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