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DBMS > Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Datomic vs. Google Cloud Spanner vs. Percona Server for MongoDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Datomic vs. Google Cloud Spanner vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHosted, scalable database service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelWide column storeDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#324  Overall
#12  Wide column stores
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score0.60
Rank#246  Overall
#38  Document stores
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­dynamodbwww.datomic.comcloud.google.com/­spannerwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­dynamodbdocs.datomic.comcloud.google.com/­spanner/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAlibabaAmazonCognitectGooglePercona
Initial release20162012201220172015
Current release1.0.6735, June 20233.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercial infolimited edition freecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemshostedhostedAll OS with a Java VMhostedLinux
Data schemeschema-freeschema-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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnononoyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsHTTP APIRESTful HTTP APIRESTful HTTP APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesJava
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
Java
Go
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnonoyes infoTransaction FunctionsnoJavaScript
Triggersnoyes infoby integration with AWS LambdaBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone infoBut extensive use of caching in the application peersMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoACID across one or more tables within a single AWS account and regionACIDACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes infovia In-Memory Engine
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)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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Alibaba Cloud Table StoreAmazon DynamoDBDatomicGoogle Cloud SpannerPercona Server for MongoDB
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