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DBMS > Amazon DynamoDB vs. Blueflood vs. Brytlyt vs. jBASE

System Properties Comparison Amazon DynamoDB vs. Blueflood vs. Brytlyt vs. jBASE

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBlueflood  Xexclude from comparisonBrytlyt  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable TimeSeries DBMS based on CassandraScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSMultivalue 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
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websiteaws.amazon.com/­dynamodbblueflood.iobrytlyt.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­rax-maas/­blueflood/­wikidocs.brytlyt.iodocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAmazonRackspaceBrytlytRocket Software (formerly Zumasys)
Initial release2012201320161991
Current release5.0, August 20235.7
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialcommercial
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++ and CUDA
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeschema-freepredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesoptional
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.noyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyesEmbedded SQL for jBASE in BASIC
APIs and other access methodsRESTful HTTP APIHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnonouser defined functions infoin PL/pgSQLyes
Triggersyes infoby integration with AWS Lambdanoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraSource-replica replicationyes
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
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
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 regionnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)nofine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Amazon DynamoDBBluefloodBrytlytjBASE
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