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DBMS > Alibaba Cloud Table Store vs. Amazon Neptune vs. Atos Standard Common Repository vs. GridDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon Neptune vs. Atos Standard Common Repository vs. GridDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon Neptune  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 fully managed Wide Column Store for large quantities of semi-structured data with real-time accessFast, reliable graph database built for the 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 modelWide column storeGraph DBMS
RDF store
Document 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
Score0.24
Rank#310  Overall
#12  Wide column stores
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorygriddb.net
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­neptune/­developer-resourcesdocs.griddb.net
DeveloperAlibabaAmazonAtos Convergence CreatorsToshiba Corporation
Initial release2016201720162013
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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedhostedLinuxLinux
Data schemeschema-freeschema-freeSchema 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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnononoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsHTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesSource-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 ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDAtomic execution of specific operationsACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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)LDAP bind authenticationAccess rights for users can be defined per database
More information provided by the system vendor
Alibaba Cloud Table StoreAmazon NeptuneAtos Standard Common RepositoryGridDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory 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 modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Alibaba Cloud Table StoreAmazon NeptuneAtos Standard Common RepositoryGridDB
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