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DBMS > Google Cloud Firestore vs. GraphDB vs. Kinetica vs. SAP HANA

System Properties Comparison Google Cloud Firestore vs. GraphDB vs. Kinetica vs. SAP HANA

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportGPU-accelerated database for real-time analysis of large and streaming datasetsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.83
Rank#49  Overall
#9  Document stores
Score1.32
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score0.67
Rank#196  Overall
#94  Relational DBMS
Score51.34
Rank#20  Overall
#13  Relational DBMS
Websitefirebase.google.com/­products/­firestoregraphdb.ontotext.comwww.kinetica.comwww.sap.com/­products/­hana.html
Technical documentationfirebase.google.com/­docs/­firestoregraphdb.ontotext.com/­documentationwww.kinetica.com/­docshelp.sap.com/­hana
DeveloperGoogleOntotextKineticaSAP
Initial release2017200020122010
Current release8.8, January 20196.02.0 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
LinuxAppliance or cloud-service
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languageSQL-like DML and DDL statementsyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava Server Pluginuser defined functionsSQLScript, R
Triggersyes, with Cloud Functionsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replicationMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yesAccess rights for users and roles on table levelyes
More information provided by the system vendor
Google Cloud FirestoreGraphDB infoformer name: OWLIMKineticaSAP HANA
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
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More resources
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Conferences and events

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Webinar, 4pm GMT, 8am PST, 5pm CET, 25 March 2020 (finished)

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