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DBMS > Amazon DynamoDB vs. atoti vs. Cubrid vs. Drizzle

System Properties Comparison Amazon DynamoDB vs. atoti vs. Cubrid vs. Drizzle

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonatoti  Xexclude from comparisonCubrid  Xexclude from comparisonDrizzle  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, scalable database service by Amazon with the data stored in Amazons cloudAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Websiteaws.amazon.com/­dynamodbatoti.iocubrid.com (korean)
cubrid.org (english)
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.atoti.iocubrid.org/­manuals
DeveloperAmazonActiveViamCUBRID Corporation, CUBRID FoundationDrizzle project, originally started by Brian Aker
Initial release201220082008
Current release11.0, January 20217.2.4, September 2012
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoGNU GPL
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 languageJavaC, C++, JavaC++
Server operating systemshostedLinux
Windows
FreeBSD
Linux
OS X
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)yesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
JDBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
PHP
Server-side scripts infoStored proceduresnoPythonJava Stored Proceduresno
Triggersyes infoby integration with AWS Lambdayesno infohooks for callbacks inside the server can be used.
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source 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 integritynoyesyes
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 regionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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-standardPluggable authentication mechanisms infoe.g. LDAP, HTTP

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More resources
Amazon DynamoDBatotiCubridDrizzle
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Recent citations in the news

Freecharge lowered their identity management system cost and improved scaling by switching to Amazon DynamoDB ...
20 May 2024, AWS Blog

Migrating Uber's Ledger Data from DynamoDB to LedgerStore
11 April 2024, Uber

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

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19 March 2024, AWS Blog

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