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DBMS > Amazon DynamoDB vs. Apache Impala vs. CouchDB vs. GeoSpock vs. MySQL

System Properties Comparison Amazon DynamoDB vs. Apache Impala vs. CouchDB vs. GeoSpock vs. MySQL

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGeoSpock  Xexclude from comparisonMySQL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Spatial and temporal data processing engine for extreme data scaleWidely used open source RDBMS
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score11.73
Rank#45  Overall
#7  Document stores
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Websiteaws.amazon.com/­dynamodbimpala.apache.orgcouchdb.apache.orggeospock.comwww.mysql.com
Technical documentationdocs.aws.amazon.com/­dynamodbimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stabledev.mysql.com/­doc
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGeoSpockOracle infosince 2010, originally MySQL AB, then Sun
Initial release2012201320051995
Current release4.1.0, June 20223.3.3, December 20232.0, September 20198.3.0, January 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2Open Source infoApache version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC++ErlangJava, JavascriptC and C++
Server operating systemshostedLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes
Secondary indexesyesyesyes infovia viewstemporal, categoricalyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)yes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP/JSON APIJDBCADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions in JavaScriptnoyes infoproprietary syntax
Triggersyes infoby integration with AWS Lambdanoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoimproved architecture with release 2.0Automatic shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnono infoatomic operations within a single document possiblenoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseAccess rights for users can be defined per tableUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon DynamoDBApache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GeoSpockMySQL
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