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DBMS > Amazon DocumentDB vs. CouchDB vs. Hawkular Metrics vs. Manticore Search

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. Hawkular Metrics vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-storage database for search, including full-text search.
Primary database modelDocument storeDocument storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extensionTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score10.26
Rank#45  Overall
#7  Document stores
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbcouchdb.apache.orgwww.hawkular.orgmanticoresearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stablewww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCommunity supported by Red HatManticore Software
Initial release2019200520142017
Current release3.3.3, December 20236.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesnoyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nononoCan index from XML
Secondary indexesyesyes infovia viewsnoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIHTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnouser defined functions
Triggersnoyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0Sharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 operationsno infoatomic operations within a single document possiblenoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasenono

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More resources
Amazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Hawkular MetricsManticore Search
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