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DBMS > Google Cloud Datastore vs. RDF4J vs. SwayDB vs. TDSQL for MySQL vs. Tibero

System Properties Comparison Google Cloud Datastore vs. RDF4J vs. SwayDB vs. TDSQL for MySQL vs. Tibero

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA 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.A secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument storeRDF storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitecloud.google.com/­datastorerdf4j.orgswaydb.simer.auwww.tencentcloud.com/­products/­dcdbus.tmaxsoft.com/­products/­tibero
Technical documentationcloud.google.com/­datastore/­docsrdf4j.org/­documentationwww.tencentcloud.com/­document/­product/­1042technet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer PlahaTencentTmaxSoft
Initial release20082004201820132003
Current release6, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC and Assembler
Server operating systemshostedLinux
OS X
Unix
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyes infoRDF Schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes
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.nononoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Java
Kotlin
Scala
C
C#
C++
Java
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresusing Google App EngineyesnoyesPersistent Stored Procedure (PSM)
TriggersCallbacks using the Google Apps Engineyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneAutomatic shardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnonenoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoIsolation support depends on the API usedAtomic execution of operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Google Cloud DatastoreRDF4J infoformerly known as SesameSwayDBTDSQL for MySQLTibero
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