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DBMS > Amazon DynamoDB vs. EsgynDB vs. Kinetica vs. PouchDB

System Properties Comparison Amazon DynamoDB vs. EsgynDB vs. Kinetica vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGPU-accelerated database for real-time analysis of large and streaming datasetsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score73.76
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.26
Rank#274  Overall
#127  Relational DBMS
Score0.74
Rank#204  Overall
#102  Relational DBMS
Score2.68
Rank#104  Overall
#18  Document stores
Websiteaws.amazon.com/­dynamodbwww.esgyn.cnwww.kinetica.compouchdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.kinetica.com/­docspouchdb.com/­guides
DeveloperAmazonEsgynKineticaApache Software Foundation
Initial release2012201520122012
Current release6.07.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source
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 languageC++, JavaC, C++JavaScript
Server operating systemshostedLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsView functions in JavaScript
Triggersyes infoby integration with AWS Lambdanoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersSource-replica replicationMulti-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)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesyesno
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 regionACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and roles on table levelno

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More resources
Amazon DynamoDBEsgynDBKineticaPouchDB
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