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DBMS > Google Cloud Datastore vs. Newts vs. RDF4J vs. Warp 10

System Properties Comparison Google Cloud Datastore vs. Newts vs. RDF4J vs. Warp 10

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSRDF storeTime Series DBMS
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
#41  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitecloud.google.com/­datastoreopennms.github.io/­newtsrdf4j.orgwww.warp10.io
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SenX
Initial release2008201420042015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like query language (GQL)nonono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJava
PHP
Python
Server-side scripts infoStored proceduresusing Google App Enginenoyesyes infoWarpScript
TriggersCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on Cassandranoneselectable replication factor infobased on HBase
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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infobased on HBase
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 TransactionsnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud DatastoreNewtsRDF4J infoformerly known as SesameWarp 10
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