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DBMS > Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. FatDB vs. jBASE

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. FatDB vs. jBASE

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonjBASE  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A robust multi-value DBMS comprising development tools and middleware
Primary database modelKey-value storeDocument storeTime Series DBMSDocument store
Key-value store
Multivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.dolphindb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAmazonDolphinDB, IncFatCloudRocket Software (formerly Zumasys)
Initial release20072016201820121991
Current releasev2.00.4, January 20225.7
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C#
Server operating systemshostedLinuxLinux
Windows
WindowsAIX
Linux
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesyesoptional
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.nonoyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonoSQL-like query languageno infoVia inetgration in SQL ServerEmbedded SQL for jBASE in BASIC
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyesyes infovia applicationsyes
Triggersnonoyes infovia applicationsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAdministrators, Users, Groupsno infoCan implement custom security layer via applicationsAccess rights can be defined down to the item level

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More resources
Amazon SimpleDBBigchainDBDolphinDBFatDBjBASE
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