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DBMS > Amazon DocumentDB vs. Bangdb vs. Ehcache vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. Bangdb vs. Ehcache vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBangdb  Xexclude from comparisonEhcache  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceConverged and high performance database for device data, events, time series, document and graphA widely adopted Java cache with tiered storage optionsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbbangdb.comwww.ehcache.orgpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bangdb.comwww.ehcache.org/­documentationpouchdb.com/­guides
DeveloperSachin Sinha, BangDBTerracotta Inc, owned by Software AGApache Software Foundation
Initial release2019201220092012
Current releaseBangDB 2.0, October 20213.10.0, March 20227.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2; commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJavaScript
Server operating systemshostedLinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesno
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes infovia views
SQL infoSupport of SQLnoSQL like support with command line toolnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol
RESTful HTTP API
JCacheHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
Python
JavaJavaScript
Server-side scripts infoStored proceduresnononoView functions in JavaScript
Triggersnoyes, Notifications (with Streaming only)yes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoby using Terracotta ServerSharding 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 factor, Knob for CAP (enterprise version only)yes infoby using Terracotta ServerMulti-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)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infousing a tiered cache-storage approachyes 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.yes, run db with in-memory only modeyesyes
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)nono

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Amazon DocumentDBBangdbEhcachePouchDB
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