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DBMS > Amazon DynamoDB vs. Brytlyt vs. Postgres-XL

System Properties Comparison Amazon DynamoDB vs. Brytlyt vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.85
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.40
Rank#253  Overall
#118  Relational DBMS
Score0.72
Rank#204  Overall
#99  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.brytlyt.comwww.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­dynamodbwww.postgres-xl.org/­documentation
DeveloperAmazonBrytlyt
Initial release201220162014 infosince 2012, originally named StormDB
Current release0.9, October 201610 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
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.yes infospecific XML-type available, but no XML query functionality.yes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functions
Triggersyes infoby integration with AWS Lambdayesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate 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 infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.no
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-standardfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBBrytlytPostgres-XL
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