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DBMS > Amazon SimpleDB vs. Badger vs. Drizzle vs. HarperDB

System Properties Comparison Amazon SimpleDB vs. Badger vs. Drizzle vs. HarperDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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 embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelKey-value storeKey-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Websiteaws.amazon.com/­simpledbgithub.com/­dgraph-io/­badgerwww.harperdb.io
Technical documentationdocs.aws.amazon.com/­simpledbgodoc.org/­github.com/­dgraph-io/­badgerdocs.harperdb.io/­docs
DeveloperAmazonDGraph LabsDrizzle project, originally started by Brian AkerHarperDB
Initial release2007201720082017
Current release7.2.4, September 20123.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGNU GPLcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Node.js
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
Data schemeschema-freeschema-freeyesdynamic schema
Typing infopredefined data types such as float or datenonoyesyes infoJSON data types
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.nono
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsSQL-like data manipulation statements
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoC
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnononoCustom Functions infosince release 3.1
Triggersnonono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles

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More resources
Amazon SimpleDBBadgerDrizzleHarperDB
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Recent citations in the news

A Place for Everything – Amazon SimpleDB
14 December 2007, AWS Blog

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ...
12 November 2013, TechCrunch

Hands-on Tutorial for Getting Started with Amazon SimpleDB
28 May 2010, Packt Hub

An Overview of Amazon Web Services - Cloud Application Architectures [Book]
22 September 2018, oreilly.com

New SimpleDB Goodies: Enhanced Select, Larger Result Sets, Mandatory HTTPS | Amazon Web Services
20 May 2009, AWS Blog

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