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DBMS > AgensGraph vs. Citus vs. Google Cloud Firestore vs. Neo4j

System Properties Comparison AgensGraph vs. Citus vs. Google Cloud Firestore vs. Neo4j

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCitus  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud 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.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument storeGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websitebitnine.net/­agensgraphwww.citusdata.comfirebase.google.com/­products/­firestoreneo4j.com
Technical documentationbitnine.net/­documentationdocs.citusdata.comfirebase.google.com/­docs/­firestoreneo4j.com/­docs
DeveloperBitnine Global Inc.GoogleNeo4j, Inc.
Initial release2016201020172007
Current release2.1, December 20188.1, December 20185.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL, commercial license also availablecommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageCCJava, Scala
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemedepending on used data modelyesschema-freeschema-free and schema-optional
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesyes infostandard, with numerous extensionsnono
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
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
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functions
Triggersnoyesyes, with Cloud Functionsyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess 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)
More information provided by the system vendor
AgensGraphCitusGoogle Cloud FirestoreNeo4j
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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