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

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Relational DBMSWide column storeDocument 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
Score2.68
Rank#104  Overall
#18  Document stores
Websiteaws.amazon.com/­dynamodbwww.esgyn.cnpouchdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbpouchdb.com/­guides
DeveloperAmazonEsgynHypertable Inc.Apache Software Foundation
Initial release2012201520092012
Current release0.9.8.11, March 20167.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++JavaScript
Server operating systemshostedLinuxLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-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.nono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes infovia views
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
C++ API
Thrift
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
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoView functions in JavaScript
Triggersyes infoby integration with AWS Lambdanonoyes
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 datacentersselectable replication factor on file system levelMulti-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)yesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
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
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-standardnono

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More resources
Amazon DynamoDBEsgynDBHypertablePouchDB
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