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DBMS > Amazon DocumentDB vs. Amazon SimpleDB vs. Google BigQuery vs. Microsoft Azure Table Storage

System Properties Comparison Amazon DocumentDB vs. Amazon SimpleDB vs. Google BigQuery vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreLarge scale data warehouse service with append-only tablesA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument storeKey-value storeRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.85
Rank#138  Overall
#24  Key-value stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­simpledbcloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­simpledbcloud.google.com/­bigquery/­docs
DeveloperAmazonGoogleMicrosoft
Initial release2019200720102012
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhostedhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infoAll columns are indexed automaticallynono
SQL infoSupport of SQLnonoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions infoin JavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
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 operationsno infoConcurrent data updates can be detected by the applicationno infoSince BigQuery is designed for querying dataoptimistic locking
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.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights based on private key authentication or shared access signatures

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More resources
Amazon DocumentDBAmazon SimpleDBGoogle BigQueryMicrosoft Azure Table Storage
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