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DBMS > Google Cloud Firestore vs. Neo4j vs. OrientDB vs. VelocityDB

System Properties Comparison Google Cloud Firestore vs. Neo4j vs. OrientDB vs. VelocityDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparisonOrientDB  Xexclude from comparisonVelocityDB  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 databaseMulti-model DBMS (Document, Graph, Key/Value)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeGraph DBMSDocument store
Graph DBMS
Key-value store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.05
Rank#50  Overall
#9  Document stores
Score50.63
Rank#21  Overall
#1  Graph DBMS
Score5.48
Rank#70  Overall
#12  Document stores
#4  Graph DBMS
#11  Key-value stores
Score0.11
Rank#299  Overall
#28  Graph DBMS
#16  Object oriented DBMS
Websitefirebase.google.com/­products/­firestoreneo4j.comorientdb.orgvelocitydb.com
Technical documentationfirebase.google.com/­docs/­firestoreneo4j.com/­docswww.orientdb.com/­docs/­last/­index.htmlvelocitydb.com/­UserGuide
DeveloperGoogleNeo4j, Inc.OrientDB LTD; CallidusCloud; SAPVelocityDB Inc
Initial release2017200720102011
Current release4.1.1, July 20203.1.0, June 20207.x
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache version 2commercial
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, ScalaJavaC#
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Any that supports .NET
Data schemeschema-freeschema-free and schema-optionalschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLnonoSQL-like query language, no joinsno
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
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
.Net
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++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and FunctionsJava, Javascriptno
Triggersyes, with Cloud Functionsyes infovia event handlerHooksCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono infocould be achieved with distributed queriesno
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
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationship in graphsno
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)Access rights for users and roles; record level security configurableBased on Windows Authentication
More information provided by the system vendor
Google Cloud FirestoreNeo4jOrientDBVelocityDB
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud FirestoreNeo4jOrientDBVelocityDB
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