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

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonLevelDB  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 TrafodionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.57
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score2.35
Rank#116  Overall
#22  Document stores
Websiteaws.amazon.com/­dynamodbwww.esgyn.cngithub.com/­google/­leveldbpouchdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guides
DeveloperAmazonEsgynGoogleApache Software Foundation
Initial release2012201520112012
Current release1.23, February 20217.1.1, June 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoBSDOpen 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 systemshostedLinuxIllumos
Linux
OS X
Windows
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.nonono
Secondary indexesyesyesnoyes infovia views
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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 nodesShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersnoneMulti-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 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 persistentyesyesyes infowith automatic compression on writesyes 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 DynamoDBEsgynDBLevelDBPouchDB
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