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DBMS > Amazon DynamoDB vs. Heroic vs. jBASE vs. Valentina Server

System Properties Comparison Amazon DynamoDB vs. Heroic vs. jBASE vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonHeroic  Xexclude from comparisonjBASE  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA robust multi-value DBMS comprising development tools and middlewareObject-relational database and reports server
Primary database modelDocument store
Key-value store
Time Series DBMSMultivalue 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
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­dynamodbgithub.com/­spotify/­heroicwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­dynamodbspotify.github.io/­heroicdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonSpotifyRocket Software (formerly Zumasys)Paradigma Software
Initial release2012201419911999
Current release5.75.7.5
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

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Implementation languageJava
Server operating systemshostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICyes
APIs and other access methodsRESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesyes
Triggersyes infoby integration with AWS Lambdanoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
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
Immediate Consistency
Foreign keys infoReferential integritynononoyes
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 regionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBHeroicjBASEValentina Server
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