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DBMS > Amazon DocumentDB vs. BigchainDB vs. HBase vs. Lovefield vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. BigchainDB vs. HBase vs. Lovefield vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonHBase  Xexclude from comparisonLovefield  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable relational database for web apps written in pure JavaScriptJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument storeWide column storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.85
Rank#208  Overall
#35  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbwww.bigchaindb.comhbase.apache.orggoogle.github.io/­lovefieldpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesbigchaindb.readthedocs.io/­en/­latesthbase.apache.org/­book.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleApache Software Foundation
Initial release20192016200820142012
Current release2.3.4, January 20212.1.12, February 20177.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache version 2Open Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaJavaScriptJavaScript
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safariserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyesno
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.nonononono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptJavaScript
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavanoView functions in JavaScript
TriggersnoyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factorMulti-source replication
Source-replica replication
noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and rolesyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
Amazon DocumentDBBigchainDBHBaseLovefieldPouchDB
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