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DBMS > Amazon SimpleDB vs. BigchainDB vs. Datomic vs. PouchDB vs. Tkrzw

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Datomic vs. PouchDB vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonPouchDB  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 assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityJavaScript DBMS with an API inspired by CouchDBA 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 storeRelational DBMSDocument storeKey-value store
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.datomic.compouchdb.comdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.datomic.compouchdb.com/­guides
DeveloperAmazonCognitectApache Software FoundationMikio Hirabayashi
Initial release20072016201220122020
Current release1.0.6735, June 20237.1.1, June 20190.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infolimited edition freeOpen SourceOpen 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 languagePythonJava, ClojureJavaScriptC++
Server operating systemshostedLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesnono
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 automaticallyyesyes infovia views
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsView functions in JavaScriptno
TriggersnoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnone infoBut extensive use of caching in the application peersSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual ConsistencyImmediate 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 applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesnonono

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More resources
Amazon SimpleDBBigchainDBDatomicPouchDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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