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DBMS > Alibaba Cloud Table Store vs. Blazegraph vs. DataFS vs. Google Cloud Bigtable

System Properties Comparison Alibaba Cloud Table Store vs. Blazegraph vs. DataFS vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBlazegraph  Xexclude from comparisonDataFS  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelWide column storeGraph DBMS
RDF store
Object oriented DBMSKey-value store
Wide column store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­table-storeblazegraph.comnewdatabase.comcloud.google.com/­bigtable
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewiki.blazegraph.comdev.mobiland.com/­Overview.xspcloud.google.com/­bigtable/­docs
DeveloperAlibabaBlazegraphMobiland AGGoogle
Initial release2016200620182015
Current release2.1.5, March 20191.1.263, October 2022
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Windows
Windowshosted
Data schemeschema-freeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesno
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 indexesnoyesnono
SQL infoSupport of SQLnoSPARQL is used as query languagenono
APIs and other access methodsHTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
Proprietary client DLL
WinRT client
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJava
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
VB.Net
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnonono, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDAtomic single-row operations
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.nonono
User concepts infoAccess controlAccess rights based on subaccounts and tokensSecurity and Authentication via Web Application Container (Tomcat, Jetty)Windows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Alibaba Cloud Table StoreBlazegraphDataFSGoogle Cloud Bigtable
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