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DBMS > Google Cloud Datastore vs. HarperDB vs. Newts vs. RDFox vs. Splunk

System Properties Comparison Google Cloud Datastore vs. HarperDB vs. Newts vs. RDFox vs. Splunk

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonHarperDB  Xexclude from comparisonNewts  Xexclude from comparisonRDFox  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Time Series DBMS based on CassandraHigh performance knowledge graph and semantic reasoning engineAnalytics Platform for Big Data
Primary database modelDocument storeDocument storeTime Series DBMSGraph DBMS
RDF store
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score89.10
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­datastorewww.harperdb.ioopennms.github.io/­newtswww.oxfordsemantic.techwww.splunk.com
Technical documentationcloud.google.com/­datastore/­docsdocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wikidocs.oxfordsemantic.techdocs.splunk.com/­Documentation/­Splunk
DeveloperGoogleHarperDBOpenNMS GroupOxford Semantic TechnologiesSplunk Inc.
Initial release20082017201420172003
Current release3.1, August 20216.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0commercialcommercial infoLimited free edition and free developer edition available
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 languageNode.jsJavaC++
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freedynamic schemaschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyes, details hereyes infoJSON data typesyesyesyes
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like data manipulation statementsnonono infoSplunk Search Processing Language for search commands
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP REST
Java API
RESTful HTTP API
SPARQL 1.1
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaC
Java
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App EngineCustom Functions infosince release 3.1noyes
TriggersCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandrareplication via a shared file systemMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual 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 TransactionsAtomic execution of specific operationsnoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesnoRoles, resources, and access typesAccess rights for users and roles

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More resources
Google Cloud DatastoreHarperDBNewtsRDFoxSplunk
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