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DBMS > Alibaba Cloud Table Store vs. Amazon SimpleDB vs. BigchainDB vs. Google Cloud Spanner vs. Microsoft Azure Synapse Analytics

System Properties Comparison Alibaba Cloud Table Store vs. Amazon SimpleDB vs. BigchainDB vs. Google Cloud Spanner vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelWide column storeKey-value storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­simpledbwww.bigchaindb.comcloud.google.com/­spannerazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­spanner/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAlibabaAmazonGoogleMicrosoft
Initial release20162007201620172016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++
Server operating systemshostedhostedLinuxhostedhosted
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesnoyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnononoyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsHTTP APIRESTful HTTP APICLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnononoTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factorMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
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 integritynononoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoConcurrent data updates can be detected by the applicationACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
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 based on subaccounts and tokensAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
Alibaba Cloud Table StoreAmazon SimpleDBBigchainDBGoogle Cloud SpannerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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