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DBMS > Google Cloud Datastore vs. Stardog vs. TDSQL for MySQL vs. Yaacomo

System Properties Comparison Google Cloud Datastore vs. Stardog vs. TDSQL for MySQL vs. Yaacomo

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonStardog  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitecloud.google.com/­datastorewww.stardog.comwww.tencentcloud.com/­products/­dcdbyaacomo.com
Technical documentationcloud.google.com/­datastore/­docsdocs.stardog.comwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogleStardog-UnionTencentQ2WEB GmbH
Initial release2008201020132009
Current release7.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
macOS
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesyes
SQL infoSupport of SQLSQL-like query language (GQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Serveryesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App Engineuser defined functions and aggregates, HTTP Server extensions in Javayes
TriggersCallbacks using the Google Apps Engineyes infovia event handlersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID
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.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreStardogTDSQL for MySQLYaacomo
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