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DBMS > Amazon CloudSearch vs. Graphite vs. Microsoft Azure Cosmos DB vs. Riak KV

System Properties Comparison Amazon CloudSearch vs. Graphite vs. Microsoft Azure Cosmos DB vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGlobally distributed, horizontally scalable, multi-model database serviceDistributed, fault tolerant key-value store
Primary database modelSearch engineTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteaws.amazon.com/­cloudsearchgithub.com/­graphite-project/­graphite-webazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­cloudsearchgraphite.readthedocs.iolearn.microsoft.com/­azure/­cosmos-dbwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAmazonChris DavisMicrosoftOpenSource, formerly Basho Technologies
Initial release2012200620142009
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonErlang
Server operating systemshostedLinux
Unix
hostedLinux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infoJSON typesno
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.nono
Secondary indexesyes infoall search fields are automatically indexednoyes infoAll properties auto-indexed by defaultrestricted
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsHTTP APIHTTP API
Sockets
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Native Erlang Interface
Supported programming languagesJavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoJavaScriptErlang
TriggersnonoJavaScriptyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneyes infoImplicit feature of the cloud serviceselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesnoAccess rights can be defined down to the item levelyes, using Riak Security

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More resources
Amazon CloudSearchGraphiteMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRiak KV
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