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

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHazelcast  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted in-memory data gridA relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score6.87
Rank#55  Overall
#6  Key-value stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score2.35
Rank#116  Overall
#22  Document stores
Websiteaws.amazon.com/­documentdbhazelcast.comwww.monetdb.orgpouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourceshazelcast.org/­imdg/­docswww.monetdb.org/­Documentationpouchdb.com/­guides
DeveloperHazelcastMonetDB BVApache Software Foundation
Initial release2019200820042012
Current release5.3.6, November 2023Dec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen 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 languageJavaCJavaScript
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL 2003 with some extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCache
JPA
Memcached protocol
RESTful HTTP API
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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes, in SQL, C, RView functions in JavaScript
Triggersnoyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding 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 replicasyes infoReplicated Mapnone 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)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBHazelcastMonetDBPouchDB
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