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DBMS > Alibaba Cloud Table Store vs. Amazon SimpleDB vs. EsgynDB vs. Spark SQL vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. Amazon SimpleDB vs. EsgynDB vs. Spark SQL vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplice Machine  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 ScioreEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpark SQL is a component on top of 'Spark Core' for structured data processingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeKey-value storeRelational DBMSRelational 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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­simpledbwww.esgyn.cnspark.apache.org/­sqlsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­simpledbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsplicemachine.com/­how-it-works
DeveloperAlibabaAmazonEsgynApache Software FoundationSplice Machine
Initial release20162007201520142014
Current release3.5.0 ( 2.13), September 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
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 languageC++, JavaScalaJava
Server operating systemshostedhostedLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
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.nonono
Secondary indexesnoyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetJava
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationShardingyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication between multi datacentersnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
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 integritynonoyesnoyes
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 datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
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-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud Table StoreAmazon SimpleDBEsgynDBSpark SQLSplice Machine
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