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DBMS > Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Firebase Realtime Database vs. Google Cloud Spanner vs. Spark SQL

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Firebase Realtime Database vs. Google Cloud Spanner vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSpark SQL  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 cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A 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.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#251  Overall
#12  Wide column stores
Score76.99
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score20.06
Rank#36  Overall
#5  Document stores
Score3.55
Rank#94  Overall
#50  Relational DBMS
Score23.33
Rank#33  Overall
#19  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­dynamodbfirebase.google.com/­products/­realtime-databasecloud.google.com/­spannerspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­product/­27278.htmdocs.aws.amazon.com/­dynamodbfirebase.google.com/­docs/­databasecloud.google.com/­spanner/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaAmazonGoogle infoacquired by Google 2014GoogleApache Software Foundation
Initial release20162012201220172014
Current release3.2.0, October 2021
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemshostedhostedhostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
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 indexesnoyesyesyesno
SQL infoSupport of SQLnononoyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statements
APIs and other access methodsHTTP APIRESTful HTTP APIAndroid
iOS
JavaScript API
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
JDBC
ODBC
Supported programming languagesJava
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'nono
Triggersnoyes infoby integration with AWS LambdaCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
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 regionyesACID infoStrict serializable isolationno
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.nonono
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)yes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Alibaba Cloud Table StoreAmazon DynamoDBFirebase Realtime DatabaseGoogle Cloud SpannerSpark SQL
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