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DBMS > Amazon SimpleDB vs. Apache IoTDB vs. Dragonfly vs. Hyprcubd vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. Dragonfly vs. Hyprcubd vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHyprcubd  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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 instanceServerless Time Series DBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeTime Series DBMSKey-value storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteaws.amazon.com/­simpledbiotdb.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hyprcubd.com (offline)github.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.dragonflydb.io/­docs
DeveloperAmazonApache Software FoundationDragonflyDB team and community contributorsHyprcubd, Inc.STS Soft SC
Initial release2007201820232011
Current release1.1.0, April 20231.0, March 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++GoC#
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxhostedWindows
Data schemeschema-freeyesscheme-freeyesyes
Typing infopredefined data types such as float or datenoyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infotime, int, uint, float, stringyes infoprimitive types and user defined types (classes)
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 automaticallyyesnonono
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJDBC
Native API
Proprietary protocol infoRESP - REdis Serialization ProtocolgRPC (https).NET Client 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
C#
Java
Server-side scripts infoStored proceduresnoyesLuanono
Triggersnoyespublish/subscribe channels provide some trigger functionalitynono
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)none
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 replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
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 integritynonononono
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 scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the servernoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesPassword-based authenticationtoken accessno

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More resources
Amazon SimpleDBApache IoTDBDragonflyHyprcubdSTSdb
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