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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. FileMaker vs. Hive vs. Microsoft Azure Table Storage

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. FileMaker vs. Hive vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  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 serviceFileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineDocument storeRelational DBMSRelational DBMSWide column 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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbwww.claris.com/­filemakerhive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourceswww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20122019198320122012
Current release19.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostediOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMhosted
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoA http query request can return the data in XML formatno
Secondary indexesyes infoall search fields are automatically indexedyesyesyesno
SQL infoSupport of SQLnonoyes infovia pluginsSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
PHPC++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesyes infouser defined functions and integration of map-reduceno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenoneShardingSharding infoImplicit feature of the cloud service
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 replicasSource-replica replication, warm standby infosince Version 14selectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolessimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signatures

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More resources
Amazon CloudSearchAmazon DocumentDBFileMakerHiveMicrosoft Azure Table Storage
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