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DBMS > Amazon DynamoDB vs. Bangdb vs. Couchbase vs. PouchDB vs. searchxml

System Properties Comparison Amazon DynamoDB vs. Bangdb vs. Couchbase vs. PouchDB vs. searchxml

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBangdb  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudConverged and high performance database for device data, events, time series, document and graphA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Document storeDocument storeNative XML DBMS
Search engine
Secondary database modelsSpatial DBMSKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score16.59
Rank#36  Overall
#5  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­dynamodbbangdb.comwww.couchbase.compouchdb.comwww.searchxml.net/­category/­products
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.bangdb.comdocs.couchbase.compouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperAmazonSachin Sinha, BangDBCouchbase, Inc.Apache Software Foundationinformationpartners gmbh
Initial release20122012201120122015
Current releaseBangDB 2.0, October 2021Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20237.1.1, June 20191.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSD 3Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, C++, Go and ErlangJavaScriptC++
Server operating systemshostedLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL like support with command line toolSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnono
APIs and other access methodsRESTful HTTP APIProprietary protocol
RESTful HTTP API
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++View functions in JavaScriptyes infoon the application server
Triggersyes infoby integration with AWS Lambdayes, Notifications (with Streaming only)yes infovia the TAP protocolyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic ShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infoincluding cross data center replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes 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, run db with in-memory only modeyes infoEphemeral bucketsyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.noDomain, group and role-based access control at the document level and for application services

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More resources
Amazon DynamoDBBangdbCouchbase infoOriginally called MembasePouchDBsearchxml
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