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DBMS > Google Cloud Datastore vs. PlanetScale vs. Quasardb vs. RDF4J vs. SwayDB

System Properties Comparison Google Cloud Datastore vs. PlanetScale vs. Quasardb vs. RDF4J vs. SwayDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, high-performance timeseries databaseRDF4J 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 storage
Primary database modelDocument storeRelational DBMSTime Series DBMSRDF storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.72
Rank#222  Overall
#9  RDF stores
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitecloud.google.com/­datastoreplanetscale.comquasar.airdf4j.orgswaydb.simer.au
Technical documentationcloud.google.com/­datastore/­docsplanetscale.com/­docsdoc.quasar.ai/­masterrdf4j.org/­documentation
DeveloperGooglePlanetScalequasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer Plaha
Initial release20082020200920042018
Current release3.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaScala
Server operating systemshostedDocker
Linux
macOS
BSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyes infointeger and binaryyesno
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 indexesyesyesyes infowith tagsyesno
SQL infoSupport of SQLSQL-like query language (GQL)yes infowith proprietary extensionsSQL-like query languagenono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP APIJava 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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresusing Google App Engineyes infoproprietary syntaxnoyesno
TriggersCallbacks using the Google Apps Engineyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownowith Hadoop integrationnono
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.Eventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID at shard levelACIDACID infoIsolation support depends on the API usedAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesCryptographically strong user authentication and audit trailnono

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More resources
Google Cloud DatastorePlanetScaleQuasardbRDF4J infoformerly known as SesameSwayDB
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