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DBMS > Amazon DynamoDB vs. Drizzle vs. GeoSpock vs. OrigoDB

System Properties Comparison Amazon DynamoDB vs. Drizzle vs. GeoSpock vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonOrigoDB  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleA fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.06
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websiteaws.amazon.com/­dynamodbgeospock.comorigodb.com
Technical documentationdocs.aws.amazon.com/­dynamodborigodb.com/­docs
DeveloperAmazonDrizzle project, originally started by Brian AkerGeoSpockRobert Friberg et al
Initial release201220082009 infounder the name LiveDB
Current release7.2.4, September 20122.0, September 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoGNU GPLcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptC#
Server operating systemshostedFreeBSD
Linux
OS X
hostedLinux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser 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.nono infocan be achieved using .NET
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI SQL for query only (using Presto)no
APIs and other access methodsRESTful HTTP APIJDBCJDBC.NET Client API
HTTP API
LINQ
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Java
PHP
.Net
Server-side scripts infoStored proceduresnononoyes
Triggersyes infoby integration with AWS Lambdano infohooks for callbacks inside the server can be used.noyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
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)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tableRole based authorization

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More resources
Amazon DynamoDBDrizzleGeoSpockOrigoDB
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