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DBMS > Alibaba Cloud PolarDB vs. Amazon CloudSearch vs. Atos Standard Common Repository vs. GridDB

System Properties Comparison Alibaba Cloud PolarDB vs. Amazon CloudSearch vs. Atos Standard Common Repository vs. GridDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.A hosted search engine service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Time Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Websitewww.alibabacloud.com/­product/­polardbaws.amazon.com/­cloudsearchatos.net/en/convergence-creators/portfolio/standard-common-repositorygriddb.net
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.aws.amazon.com/­cloudsearchdocs.griddb.net
DeveloperAlibabaAmazonAtos Convergence CreatorsToshiba Corporation
Initial release201220162013
Current release17035.1, August 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedhostedLinuxLinux
Data schemeyesyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesyesoptionalyes infonumerical, string, blob, geometry, boolean, timestamp
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.yesyesno
Secondary indexesyesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLyesnonoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsJDBC
ODBC
HTTP APILDAPJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJava
Python
All languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesLDAP bind authenticationAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud PolarDBAmazon CloudSearchAtos Standard Common RepositoryGridDB
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Alibaba Cloud PolarDBAmazon CloudSearchAtos Standard Common RepositoryGridDB
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