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DBMS > Firebase Realtime Database vs. Neo4j vs. TigerGraph vs. Valentina Server

System Properties Comparison Firebase Realtime Database vs. Neo4j vs. TigerGraph vs. Valentina Server

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonNeo4j  Xexclude from comparisonTigerGraph  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeObject-relational database and reports server
Primary database modelDocument storeGraph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score44.47
Rank#23  Overall
#1  Graph DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseneo4j.comwww.tigergraph.comwww.valentina-db.net
Technical documentationfirebase.google.com/­docs/­databaseneo4j.com/­docsdocs.tigergraph.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogle infoacquired by Google 2014Neo4j, Inc.Paradigma Software
Initial release2012200720171999
Current release5.19, April 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercialcommercial
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ScalaC++
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-free and schema-optionalyesyes
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
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnonoSQL-like query language (GSQL)yes
APIs and other access methodsAndroid
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
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoUser defined Procedures and Functionsyesyes
TriggersCallbacks are triggered when data changesyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlyes, based on authentication and database rulesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Firebase Realtime DatabaseNeo4jTigerGraphValentina Server
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 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
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