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DBMS > Amazon SimpleDB vs. Cloudflare Workers KV vs. IBM Db2 Event Store vs. mSQL vs. OrigoDB

System Properties Comparison Amazon SimpleDB vs. Cloudflare Workers KV vs. IBM Db2 Event Store vs. mSQL vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonIBM Db2 Event Store  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 ScioreA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelKey-value storeKey-value storeEvent Store
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.19
Rank#117  Overall
#22  Key-value stores
Score0.13
Rank#302  Overall
#45  Key-value stores
Score0.51
Rank#240  Overall
#2  Event Stores
#19  Time Series DBMS
Score1.84
Rank#127  Overall
#62  Relational DBMS
Score0.00
Rank#351  Overall
#49  Document stores
#19  Object oriented DBMS
Websiteaws.amazon.com/­simpledbwww.cloudflare.com/­products/­workers-kvwww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msqlorigodb.com
Technical documentationdocs.aws.amazon.com/­simpledbdevelopers.cloudflare.com/­workers/­runtime-apis/­kvwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlorigodb.com/­docs
DeveloperAmazonCloudflareIBMHughes TechnologiesRobert Friberg et al
Initial release20072018201719942009 infounder the name LiveDB
Current release2.04.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC#
Server operating systemshostedhostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesUser 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 automaticallynonoyesyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsRESTful HTTP APIHTTP REST
Proprietary protocol
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersnonononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesActive-active shard replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyEventual 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 datayesyesNo - written data is immutablenoyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
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-standardnoRole based authorization

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More resources
Amazon SimpleDBCloudflare Workers KVIBM Db2 Event StoremSQL infoMini SQLOrigoDB
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