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DBMS > Amazon SimpleDB vs. Apache IoTDB vs. Cloudflare Workers KV vs. mSQL vs. OrigoDB

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. Cloudflare Workers KV vs. mSQL vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  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 global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.mSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelKey-value storeTime Series DBMSKey-value storeRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.39
Rank#278  Overall
#39  Key-value stores
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­simpledbiotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvhughestech.com.au/­products/­msqlorigodb.com
Technical documentationdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apiorigodb.com/­docs
DeveloperAmazonApache Software FoundationCloudflareHughes TechnologiesRobert Friberg et al
Initial release20072018201819942009 infounder the name LiveDB
Current release1.1.0, April 20234.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#
Server operating systemshostedAll OS with a Java VM (>= 1.8)hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsRESTful HTTP APIJDBC
Native API
HTTP REST
Proprietary protocol
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyesnonoyes infoDomain Events
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)nonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneSource-replica replication
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 Consistencynone
Foreign keys infoReferential integritynonononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesnoRole based authorization

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More resources
Amazon SimpleDBApache IoTDBCloudflare Workers KVmSQL infoMini SQLOrigoDB
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