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DBMS > Google Cloud Firestore vs. Neo4j vs. Netezza vs. Stardog

System Properties Comparison Google Cloud Firestore vs. Neo4j vs. Netezza vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonStardog  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.Open source graph databaseData warehouse and analytics appliance part of IBM PureSystemsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeGraph DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.61
Rank#48  Overall
#9  Document stores
Score51.34
Rank#21  Overall
#1  Graph DBMS
Score18.43
Rank#34  Overall
#21  Relational DBMS
Score1.48
Rank#144  Overall
#11  Graph DBMS
#6  RDF stores
Websitefirebase.google.com/­products/­firestoreneo4j.comwww.ibm.com/­products/­netezzawww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestoreneo4j.com/­docswww.stardog.com/­docs
DeveloperGoogleNeo4j, Inc.IBMStardog-Union
Initial release2017200720002010
Current release4.1.3, October 20207.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageJava, ScalaJava
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux infoincluded in applianceLinux
macOS
Windows
Data schemeschema-freeschema-free and schema-optionalyesschema-free and OWL/RDFS-schema support
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.nono infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
OLE DB
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functionsyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, with Cloud Functionsyes infovia event handlernoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
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
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.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Users with fine-grained authorization conceptAccess rights for users and roles
More information provided by the system vendor
Google Cloud FirestoreNeo4jNetezza infoAlso called PureData System for Analytics by IBMStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
News

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16 October 2020

5-Minute Interview: Graph Databases For Dummies with Dr. Jim Webber and Rik Van Bruggen
15 October 2020

New GraphAcademy Course: Introduction to Graph Algorithms in Neo4j 4.0
13 October 2020

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.

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More resources
Google Cloud FirestoreNeo4jNetezza infoAlso called PureData System for Analytics by IBMStardog
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Recent citations in the news

It's not just you, a bunch of Google services were having issues
24 September 2020, Android Police

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 unveils Android Performance Tuner, Android GPU Inspector, and Cloud Firestore for game developers
23 March 2020, VentureBeat

Adding Data to a Cloud Firestore Database
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20 October 2020, Yahoo Finance

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28 September 2020, Datanami

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19 October 2020, re:Jerusalem

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Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Pyramart Provides Webber With a Better Way to Process Data and Prepare Key Reports Through Automated Data Warehousing
20 October 2020, PR Web

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