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DBMS > Google Cloud Firestore vs. Neo4j vs. Sadas Engine vs. Stardog

System Properties Comparison Google Cloud Firestore vs. Neo4j vs. Sadas Engine vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparisonSadas Engine  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 databaseSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelDocument storeGraph DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.33
Rank#57  Overall
#9  Document stores
Score49.46
Rank#22  Overall
#1  Graph DBMS
Score0.04
Rank#326  Overall
#135  Relational DBMS
Score0.76
Rank#168  Overall
#13  Graph DBMS
#7  RDF stores
Websitefirebase.google.com/­products/­firestoreneo4j.comwww.sadasengine.comwww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestoreneo4j.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbwww.stardog.com/­docs
DeveloperGoogleNeo4j, Inc.SADAS s.r.l.Stardog-Union
Initial release2017200720062010
Current release3.5.8, July 20198.06.2.3, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial infofree trial version availablecommercial 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, ScalaC++Java
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
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.nonono 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 SQLnonoyesSPARQL is used as query language
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
Proprietary protocol
JDBC
ODBC
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functionsnouser 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 nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
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 ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
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 infomanaged by 'Learn by Usage'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)Access rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Google Cloud FirestoreNeo4jSadas EngineStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» 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

Overcoming CCPA Challenges: Graph Technology Solves Personal Data Privacy Challenges
21 October 2019

This Week in Neo4j – We need your GraphConnect 2020 talks, New Educator Program, Tuning Cypher, How do British MPs vote?
19 October 2019

#GraphCast: Bloom Series
18 October 2019

GraphConnect 2020: Call for Papers Closing November 15
17 October 2019

How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
16 October 2019

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 FirestoreNeo4jSadas EngineStardog
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Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

5 Google Cloud tools you should know
11 October 2019, TechTarget

Firebase launches Extensions to help easily solve common app problems
26 September 2019, 9to5Google

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 Firestore Released
4 February 2019, iProgrammer

provided by Google News

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Neo4j equips educators with data graphing teaching tools
10 October 2019, TechRepublic

NEORIS Demonstrates the Power of Graph Knowledge Management to Enable Predictive Analytics at Neo4j GraphTour New York
10 October 2019, PRNewswire

Neo4j Gets Hooks Into Kafka
1 October 2019, Datanami

provided by Google News

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