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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. Heroic vs. Tkrzw

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. Heroic vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonHeroic  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, scalable, highly available, and fully managed MongoDB-compatible database serviceTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineDocument storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.91
Rank#131  Overall
#24  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbgithub.com/­spotify/­heroicdbmx.net/­tkrzw
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourcesspotify.github.io/­heroic
DeveloperAmazonSpotifyMikio Hirabayashi
Initial release2012201920142020
Current release0.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedhostedLinux
macOS
Data schemeyesschema-freeschema-freeschema-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 indexesyes infoall search fields are automatically indexedyesyes infovia Elasticsearch
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesno

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More resources
Amazon CloudSearchAmazon DocumentDBHeroicTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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