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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBangdb  Xexclude from comparisonPouchDB  Xexclude from comparisonVoltDB  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 graphJavaScript DBMS with an API inspired by CouchDBDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMS
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
Score2.34
Rank#112  Overall
#21  Document stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­documentdbbangdb.compouchdb.comwww.voltdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bangdb.compouchdb.com/­guidesdocs.voltdb.com
DeveloperSachin Sinha, BangDBApache Software FoundationVoltDB Inc.
Initial release2019201220122010
Current releaseBangDB 2.0, October 20217.1.1, June 201911.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaScriptJava, C++
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X infofor development
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoyes
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.nonono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyes infovia viewsyes
SQL infoSupport of SQLnoSQL like support with command line toolnoyes infoonly a subset of SQL 99
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
Python
JavaScriptC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoView functions in JavaScriptJava
Triggersnoyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infowith a proxy-based framework, named couchdb-loungeSharding
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)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoSnapshots and command logging
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
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)noUsers and roles with access to stored procedures

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More resources
Amazon DocumentDBBangdbPouchDBVoltDB
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