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DBMS > Amazon DynamoDB vs. Badger

System Properties Comparison Amazon DynamoDB vs. Badger

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Our visitors often compare Amazon DynamoDB and Badger with RocksDB, Redis and LevelDB.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBadger  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.
Primary database modelDocument store
Key-value store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.20
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.11
Rank#314  Overall
#47  Key-value stores
Websiteaws.amazon.com/­dynamodbgithub.com/­dgraph-io/­badger
Technical documentationdocs.aws.amazon.com/­dynamodbgodoc.org/­github.com/­dgraph-io/­badger
DeveloperAmazonDGraph Labs
Initial release20122017
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Server-side scripts infoStored proceduresnono
Triggersyes infoby integration with AWS Lambdano
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
none
Foreign keys infoReferential integritynono
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 regionno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no

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More resources
Amazon DynamoDBBadger
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