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DBMS > Alibaba Cloud Table Store vs. Amazon Neptune vs. Google Cloud Datastore vs. Linter vs. Yaacomo

System Properties Comparison Alibaba Cloud Table Store vs. Amazon Neptune vs. Google Cloud Datastore vs. Linter vs. Yaacomo

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLinter  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is 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 cloudAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDBMS for high security requirementsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelWide column storeGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­neptunecloud.google.com/­datastorelinter.ruyaacomo.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­datastore/­docs
DeveloperAlibabaAmazonGooglerelex.ruQ2WEB GmbH
Initial release20162017200819902009
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedhostedhostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Android
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nonononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesyes
APIs and other access methodsHTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesJava
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnonousing Google App Engineyes infoproprietary syntax with the possibility to convert from PL/SQL
TriggersnonoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingnonehorizontal partitioning
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.Multi-source replication using PaxosSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreAmazon NeptuneGoogle Cloud DatastoreLinterYaacomo
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