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DBMS > Google Cloud Datastore vs. OrigoDB vs. Percona Server for MySQL vs. RDF4J

System Properties Comparison Google Cloud Datastore vs. OrigoDB vs. Percona Server for MySQL vs. RDF4J

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonOrigoDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA fully ACID in-memory object graph databaseEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeDocument store
Object oriented DBMS
Relational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitecloud.google.com/­datastoreorigodb.comwww.percona.com/­software/­mysql-database/­percona-serverrdf4j.org
Technical documentationcloud.google.com/­datastore/­docsorigodb.com/­docswww.percona.com/­downloads/­Percona-Server-LATESTrdf4j.org/­documentation
DeveloperGoogleRobert Friberg et alPerconaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20082009 infounder the name LiveDB20082004
Current release8.0.36-28, 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++Java
Server operating systemshostedLinux
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes, details hereUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresusing Google App Engineyesyesyes
TriggersCallbacks using the Google Apps Engineyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationMulti-source replication
Source-replica replication
XtraDB Cluster
none
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
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes infoin-memory storage is supported as well
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 for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based authorizationUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Google Cloud DatastoreOrigoDBPercona Server for MySQLRDF4J infoformerly known as Sesame
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