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DBMS > Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. Kingbase vs. Tkrzw

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. Kingbase vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonKingbase  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
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.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeDocument storeTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Spatial 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
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.dolphindb.comwww.kingbase.com.cndbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperAmazonDolphinDB, IncBeiJing KINGBASE Information technologies inc.Mikio Hirabayashi
Initial release20072016201819992020
Current releasev2.00.4, January 2022V8.0, August 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infofree community version availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C and JavaC++
Server operating systemshostedLinuxLinux
Windows
Linux
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesno
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.nonoyesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonoSQL-like query languageStandard with numerous extensionsno
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
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
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
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACID
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 infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAdministrators, Users, Groupsfine grained access rights according to SQL-standardno

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More resources
Amazon SimpleDBBigchainDBDolphinDBKingbaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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