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DBMS > Google Cloud Datastore vs. RDF4J vs. StarRocks vs. SwayDB vs. Tigris

System Properties Comparison Google Cloud Datastore vs. RDF4J vs. StarRocks vs. SwayDB vs. Tigris

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonStarRocks  Xexclude from comparisonSwayDB  Xexclude from comparisonTigris  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 open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeRDF storeRelational DBMSKey-value storeDocument store
Key-value store
Search engine
Time Series 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
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitecloud.google.com/­datastorerdf4j.orgwww.starrocks.ioswaydb.simer.auwww.tigrisdata.com
Technical documentationcloud.google.com/­datastore/­docsrdf4j.org/­documentationdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introwww.tigrisdata.com/­docs
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince Feb 2023Simer PlahaTigris Data, Inc.
Initial release20082004202020182022
Current release3.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open Source infoApache Version 2.0
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 languageJavaC++, JavaScala
Server operating systemshostedLinux
OS X
Unix
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyes infoRDF Schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyesnoyes
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.nononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesnono
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
MySQL protocol
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
JavaJava
Kotlin
Scala
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresusing Google App Engineyesuser defined functionsnono
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range and hash)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnonenoneyes
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono
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 usednoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noRole based access control and fine grained access rightsnoAccess rights for users and roles

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More resources
Google Cloud DatastoreRDF4J infoformerly known as SesameStarRocksSwayDBTigris
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