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DBMS > Amazon DocumentDB vs. Lovefield vs. MonetDB vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. Lovefield vs. MonetDB vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonLovefield  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable relational database for web apps written in pure JavaScriptA relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#128  Overall
#23  Document stores
Score0.23
Rank#286  Overall
#134  Relational DBMS
Score1.80
Rank#131  Overall
#64  Relational DBMS
Score3.10
Rank#99  Overall
#18  Document stores
Websiteaws.amazon.com/­documentdbgoogle.github.io/­lovefieldwww.monetdb.orgpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.monetdb.org/­Documentationpouchdb.com/­guides
DeveloperGoogleMonetDB BVApache Software Foundation
Initial release2019201420042012
Current release2.1.12, February 2017Jul2021-SP2, July 20217.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCJavaScript
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesyes infovia views
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes infoSQL 2003 with some extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoyes, in SQL, C, RView functions in JavaScript
TriggersnoUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding via remote tablesSharding 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 replicasnonenone infoSource-replica replication available in experimental statusMulti-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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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 infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon DocumentDBLovefieldMonetDBPouchDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
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Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
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Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
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Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
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Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
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Amazon DocumentDBLovefieldMonetDBPouchDB
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