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DBMS > Alibaba Cloud Table Store vs. Amazon SimpleDB vs. H2 vs. Spark SQL vs. Teradata Aster

System Properties Comparison Alibaba Cloud Table Store vs. Amazon SimpleDB vs. H2 vs. Spark SQL vs. Teradata Aster

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonH2  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 ScioreFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Spark SQL is a component on top of 'Spark Core' for structured data processingPlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­simpledbwww.h2database.comspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­simpledbwww.h2database.com/­html/­main.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaAmazonThomas MuellerApache Software FoundationTeradata
Initial release20162007200520142005
Current release2.2.220, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
JavaJava
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined FunctionsnoR packages
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoConcurrent data updates can be detected by the applicationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.noyesnono
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)fine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreAmazon SimpleDBH2Spark SQLTeradata Aster
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