DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Firestore vs. GraphDB vs. Kinetica

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  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-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Fully vectorized database across both GPUs and CPUs
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.36
Rank#45  Overall
#8  Document stores
Score2.32
Rank#131  Overall
#8  Graph DBMS
#5  RDF stores
Score0.63
Rank#255  Overall
#118  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.ontotext.comwww.kinetica.com
Technical documentationfirebase.google.com/­docs/­firestoregraphdb.ontotext.com/­documentationwww.kinetica.com/­docs
Social network pagesLinkedInTwitterGitHubYouTubeMedium
DeveloperGoogleOntotextKinetica
Initial release201720002012
Current release10.2, February 20237.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
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
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLnostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like DML and DDL statements
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
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 Functionswell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functions
Triggersyes, with Cloud Functionsnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
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 configuration
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
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.Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Access rights for users and roles on table level
More information provided by the system vendor
Google Cloud FirestoreGraphDB infoformer name: OWLIMKinetica
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud FirestoreGraphDB infoformer name: OWLIMKinetica
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

show all

Recent citations in the news

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

How to Build a Chat App With React and Firebase - MUO
17 February 2023, MakeUseOf

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now ...
8 February 2019, InfoQ.com

Google touts open data cloud to unify information from every source
11 October 2022, SiliconANGLE News

Google and Oracle Cloud Servers Struggle in Heatwave
20 July 2022, Gizmodo

provided by Google News

Ontotext Makes Building Powerful Knowledge Graphs Easier with ...
8 March 2023, PR Newswire

Ontotext Metadata Studio 3.2 Enables Rapid Text Mining ...
21 March 2023, PR Newswire

The Great Graph Debate: Revolutionary concept in databases or niche curiosity?
6 March 2023, The Register

FAIR Content: Better Chatbot Answers and Content Reusability at Scale
6 March 2023, Data Science Central

Ontotext's GraphDB 10 Brings Modern Data Architectures to the ...
5 July 2022, PR Newswire

provided by Google News

GPU Database Market to Witness Massive Growth by Kinetica ...
22 March 2023, Digital Journal

Kinetica Announces Record Business Momentum as Market for ...
22 February 2023, PR Newswire

Kinetica Now Available as a Service in AWS Marketplace
29 September 2022, PR Newswire

Vectorization Meaning: A Key Accelerator for Analytic Databases
3 March 2023, Solutions Review

GPU Database Market is Booming with Strong Growth Prospects | Leading Players: Kinetica, Jedox, Zilliz
6 February 2023, openPR

provided by Google News

Job opportunities

Google Cloud Infrastructure Engineer
Toniq Labs, Remote

Software Engineer (Frontend)
Keepers, Remote

Staff Software Engineer
SevenRooms, New York, NY

Back End Developer
Leaf VIP, Remote

Software Engineer
Grid, Oakland, CA

Ontology Senior Data Engineer
Barclays, Whippany, NJ

Senior Data Engineer
Barclays, Whippany, NJ

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Cassandra Forward online event

Want to level up your Cassandra game?
If you missed the event or would like to re-watch a session, replays are available now. Watch now!

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here