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DBMS > AgensGraph vs. Faircom EDGE vs. Neo4j

System Properties Comparison AgensGraph vs. Faircom EDGE vs. Neo4j

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsScalable, 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
Key-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#317  Overall
#27  Graph DBMS
#142  Relational DBMS
Score0.01
Rank#373  Overall
#56  Key-value stores
#155  Relational DBMS
Score45.75
Rank#21  Overall
#1  Graph DBMS
Websitebitnine.net/­agensgraphwww.faircom.com/­products/­faircom-edgeneo4j.com
Technical documentationbitnine.net/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlneo4j.com/­docs
DeveloperBitnine Global Inc.FairCom CorporationNeo4j, Inc.
Initial release201619792007
Current release2.1, December 2018V3, October 20205.21.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoRestricted, free version availableOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
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 languageCANSI C, C++Java, Scala
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemedepending on used data modelFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesyes infoANSI SQL queriesno
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
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
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yes infoUser defined Procedures and Functions
Triggersnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceFile partitioning infoCustomizable business rules for partitioningyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyes infowhen using SQLyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AgensGraphFaircom EDGE infoformerly c-treeEDGENeo4j
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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More resources
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