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DBMS > Alibaba Cloud Table Store vs. Amazon SimpleDB vs. Spark SQL vs. UniData,UniVerse vs. VictoriaMetrics

System Properties Comparison Alibaba Cloud Table Store vs. Amazon SimpleDB vs. Spark SQL vs. UniData,UniVerse vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonVictoriaMetrics  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 ScioreSpark SQL is a component on top of 'Spark Core' for structured data processingMultiValue database and application server with SQL mapping layer and meta database capabilitiesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelWide column storeKey-value storeRelational DBMSMultivalue DBMSTime Series 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
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­simpledbspark.apache.org/­sqlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatavictoriametrics.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­simpledbspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatadocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAlibabaAmazonApache Software FoundationRocket SoftwareVictoriaMetrics
Initial release20162007201419852018
Current release3.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageScalaCGo
Server operating systemshostedhostedLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesoptional
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 automaticallynoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesno
APIs and other access methodsHTTP APIRESTful HTTP APIJDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java
Python
R
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnononoyesno
Triggersnononoyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoSharding must be implemented in the applicationyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoConcurrent data updates can be detected by the applicationnoACID infoconfigurableno
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)noAccess rights according to SQL-standard and operating system based

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More resources
Alibaba Cloud Table StoreAmazon SimpleDBSpark SQLUniData,UniVerseVictoriaMetrics
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