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DBMS > Amazon DynamoDB vs. Lovefield vs. Valentina Server vs. Yanza

System Properties Comparison Amazon DynamoDB vs. Lovefield vs. Valentina Server vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonLovefield  Xexclude from comparisonValentina Server  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudEmbeddable relational database for web apps written in pure JavaScriptObject-relational database and reports serverTime Series DBMS for IoT Applications
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­dynamodbgoogle.github.io/­lovefieldwww.valentina-db.netyanza.com
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonGoogleParadigma SoftwareYanza
Initial release2012201419992015
Current release2.1.12, February 20175.7.5
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesno
APIs and other access methodsRESTful HTTP APIODBCHTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScript.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesno
Triggersyes infoby integration with AWS LambdaUsing read-only observersyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
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 integritynoyesyesno
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 regionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
Amazon DynamoDBLovefieldValentina ServerYanza
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Recent citations in the news

Uber Migrates 1 Trillion Records from DynamoDB to LedgerStore to Save $6 Million Annually
19 May 2024, InfoQ.com

Using the circuit-breaker pattern with AWS Lambda extensions and Amazon DynamoDB | Amazon Web Services
16 May 2024, AWS Blog

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ...
14 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

provided by Google News

A Look at Valentina — SitePoint
18 April 2014, SitePoint

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7 December 2018, H2S Media

provided by Google News



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