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DBMS > Amazon SimpleDB vs. Apache IoTDB vs. Dragonfly vs. PouchDB

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. Dragonfly vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDragonfly  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeTime Series DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­simpledbiotdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
pouchdb.com
Technical documentationdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.dragonflydb.io/­docspouchdb.com/­guides
DeveloperAmazonApache Software FoundationDragonflyDB team and community contributorsApache Software Foundation
Initial release2007201820232012
Current release1.1.0, April 20231.0, March 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaScript
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesscheme-freeschema-free
Typing infopredefined data types such as float or datenoyesstrings, hashes, lists, sets, sorted sets, bit arraysno
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 indexesyes infoAll columns are indexed automaticallyyesnoyes infovia views
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIJDBC
Native API
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
JavaScript
Server-side scripts infoStored proceduresnoyesLuaView functions in JavaScript
Triggersnoyespublish/subscribe channels provide some trigger functionalityyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong Consistency with Raft
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the server
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesPassword-based authenticationno

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More resources
Amazon SimpleDBApache IoTDBDragonflyPouchDB
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