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

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

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHBase  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 FlinkWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeTime Series DBMSWide column 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­simpledbiotdb.apache.orghbase.apache.orgpouchdb.com
Technical documentationdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhbase.apache.org/­book.htmlpouchdb.com/­guides
DeveloperAmazonApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release2007201820082012
Current release1.1.0, April 20232.3.4, January 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROno
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
Java API
RESTful HTTP API
Thrift
HTTP 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++
Groovy
Java
PHP
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnoyesyes infoCoprocessors in JavaView functions in JavaScript
Triggersnoyesyesyes
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)ShardingSharding 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 replicasMulti-source replication
Source-replica replication
Multi-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 Sparkyesyes
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
Immediate Consistency or 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 applicationnoSingle row ACID (across millions of columns)no
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Amazon SimpleDBApache IoTDBHBasePouchDB
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