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DBMS > Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. Google BigQuery vs. IBM Cloudant

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. DolphinDB vs. Google BigQuery vs. IBM Cloudant

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Cloudant  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.Large scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDB
Primary database modelKey-value storeDocument storeTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.76
Rank#216  Overall
#36  Document stores
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.dolphindb.comcloud.google.com/­bigquerywww.ibm.com/­products/­cloudant
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudant
DeveloperAmazonDolphinDB, IncGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20072016201820102010
Current releasev2.00.4, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++Erlang
Server operating systemshostedLinuxLinux
Windows
hostedhosted
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnonoSQL-like query languageyesno
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
RESTful HTTP/JSON APIRESTful HTTP/JSON 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
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual 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 applicationyesno infoSince BigQuery is designed for querying datano infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
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.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAdministrators, Users, GroupsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per database

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More resources
Amazon SimpleDBBigchainDBDolphinDBGoogle BigQueryIBM Cloudant
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