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DBMS > Amazon DocumentDB vs. KeyDB vs. Quasardb vs. SiteWhere

System Properties Comparison Amazon DocumentDB vs. KeyDB vs. Quasardb vs. SiteWhere

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKeyDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelDocument storeKey-value storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score0.80
Rank#219  Overall
#31  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­Snapchat/­KeyDB
keydb.dev
quasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.keydb.devdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperEQ Alpha Technology Ltd.quasardbSiteWhere
Initial release2019201920092010
Current release3.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infointeger and binaryyes
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 infoby using the Redis Search moduleyes infowith tagsno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP APIHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoLuano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingSharding infobased on HBase
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
Source-replica replication with selectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate 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 operationsOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users and rolessimple password-based access control and ACLCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBKeyDBQuasardbSiteWhere
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