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DBMS > Google Cloud Datastore vs. RDF4J vs. SwayDB vs. Typesense vs. XTDB

System Properties Comparison Google Cloud Datastore vs. RDF4J vs. SwayDB vs. Typesense vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSwayDB  Xexclude from comparisonTypesense  Xexclude from comparisonXTDB infoformerly named Crux  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 typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivityA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeRDF storeKey-value storeSearch engineDocument store
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
Score0.76
Rank#219  Overall
#14  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitecloud.google.com/­datastorerdf4j.orgswaydb.simer.autypesense.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­datastore/­docsrdf4j.org/­documentationtypesense.org/­docswww.xtdb.com/­docs
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Simer PlahaJuxt Ltd.
Initial release20082004201820152019
Current release1.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGNU Affero GPL V3.0Open Source infoGPL V3Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++Clojure
Server operating systemshostedLinux
OS X
Unix
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyes infoRDF Schemasschema-freeschema-free infopre-defined schema optionalschema-free
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes, extensible-data-notation format
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nononolimited SQL, making use of Apache Calcite
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
RESTful HTTP APIHTTP REST
JDBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Java
Kotlin
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Clojure
Java
Server-side scripts infoStored proceduresusing Google App Engineyesnonono
TriggersCallbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnonenoneMulti-source replication using RAFTyes, each node contains all data
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 Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonono
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 operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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)nono

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More resources
Google Cloud DatastoreRDF4J infoformerly known as SesameSwayDBTypesenseXTDB infoformerly named Crux
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