DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Firestore vs. IRONdb vs. Kinetica vs. RDF4J

System Properties Comparison Google Cloud Firestore vs. IRONdb vs. Kinetica vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityGPU-accelerated database for real-time analysis of large and streaming datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeTime Series DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.21
Rank#55  Overall
#9  Document stores
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Score0.59
Rank#198  Overall
#95  Relational DBMS
Score0.39
Rank#223  Overall
#11  RDF stores
Websitefirebase.google.com/­products/­firestorewww.irondb.iowww.kinetica.comrdf4j.org
Technical documentationfirebase.google.com/­docs/­firestorewww.irondb.io/­docswww.kinetica.com/­docsdocs.rdf4j.org
DeveloperGoogleCirconus LLC.KineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017201720122004
Current releaseV0.10.20, January 20186.0
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
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 languageC and C++C, C++Java
Server operating systemshostedLinuxLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP APIJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes, in Luauser defined functionsyes
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 nodesShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationconfigurable replication factor, datacenter awareMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes 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.noAccess rights for users and roles on table levelno
More information provided by the system vendor
Google Cloud FirestoreIRONdbKineticaRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» 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 FirestoreIRONdbKineticaRDF4J infoformerly known as Sesame
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

New Google Cloud Config Connector Treats Cloud Services Like Kubernetes Resources
9 February 2020, InfoQ.com

Compare Google Cloud Firestore and Firebase Realtime Database
9 August 2019, TechTarget

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

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

Google Launches Cloud Firestore, a Serverless NoSQL Database
31 January 2019, ADT Magazine

provided by Google News

Bob Moul's latest gig is leading data intelligence company Circonus
30 October 2019, Technical.ly

Circonus launches machine data intelligence platform
29 October 2019, SDTimes.com

Circonus Launches the First Machine Data Intelligence Platform Built to Harness the Exploding Volume of Data in a World with a Trillion Connected Computers
29 October 2019, PRNewswire

provided by Google News

Kinetica Recognized by InfoWorld as 2020 Technology of the Year
10 February 2020, Yahoo Finance

GPU Database Market – Major Technology Giants in Buzz Again | Kinetica, Omnisci, Sqream
21 February 2020, News Times

Kinetica Poised to Deliver Active Analytics Across Singaporean Enterprises and Government After Being Accredited By IMDA
12 February 2020, Yahoo Finance

Kinetica Hires Dean Neese as Chief Financial Officer
25 February 2020, Yahoo Finance

Kinetica Simplifies Active Analytics With Launch of Kinetica Cloud
20 February 2020, Yahoo Finance

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

GraphDB Goes Open Source
27 January 2020, iProgrammer

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Apache Rya matures open source triple store database
17 October 2019, TechTarget

provided by Google News

Job opportunities

Product Manager
Disney Parks, Experiences and Products, Glendale, CA

UI Angular Developer
ASAP Solutions, Wayne, NJ

Database Developer
Divert, Inc., Concord, MA

Cloud Data Engineer
Prediktive, Beverly Hills, CA

Mobile App Developer
Indigo Arc LLC, Gaithersburg, MD

Customer Support Engineer
Kinetica DB, Arlington, VA

Customer Success Operations Lead
Kinetica DB, San Francisco, CA

Senior Recruiter
Kinetica DB, San Francisco, CA

Senior Data Engineer
General Dynamics Information Technology, New Jersey

Machine Learning Engineer, AAG Engineering
Bain & Company Inc, Los Angeles, CA

jobs by Indeed




Share this page

Featured Products

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

MariaDB logo

How do MariaDB, Oracle MySQL and EnterpriseDB compare?
Get the white paper to
learn more.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here