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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  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 TrafodionOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#324  Overall
#12  Wide column stores
Score1.90
Rank#145  Overall
#24  Key-value stores
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score8.00
Rank#51  Overall
#2  Time Series DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­simpledbwww.esgyn.cnprometheus.iospark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­simpledbprometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaAmazonEsgynApache Software Foundation
Initial release20162007201520152014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaGoScala
Server operating systemshostedhostedLinuxLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesnoyes infoAll columns are indexed automaticallyyesnono
SQL infoSupport of SQLnonoyesnoSQL-like DML and DDL statements
APIs and other access methodsHTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesJava
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication between multi datacentersyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistencynone
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 applicationACIDnono
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.nononono
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-standardnono

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More resources
Alibaba Cloud Table StoreAmazon SimpleDBEsgynDBPrometheusSpark SQL
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