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DBMS > AgensGraph vs. Cachelot.io vs. GridGain vs. Neo4j

System Properties Comparison AgensGraph vs. Cachelot.io vs. GridGain vs. Neo4j

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCachelot.io  Xexclude from comparisonGridGain  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLIn-memory caching systemGridGain is an in-memory computing platform, built on Apache IgniteScalable, 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 storeKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score0.00
Rank#396  Overall
#64  Key-value stores
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websitebitnine.net/­agensgraphcachelot.iowww.gridgain.comneo4j.com
Technical documentationbitnine.net/­documentationwww.gridgain.com/­docs/­index.htmlneo4j.com/­docs
DeveloperBitnine Global Inc.GridGain Systems, Inc.Neo4j, Inc.
Initial release2016201520072007
Current release2.1, December 2018GridGain 8.5.15.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoSimplified BSD LicensecommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageCC++Java, C++, .NetJava, Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyesnoyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsCypher Query Language
JDBC
Memcached protocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)yes infoUser defined Procedures and Functions
Triggersnonoyes (cache interceptors and events)yes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes (replicated cache)Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSecurity Hooks for custom implementationsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
AgensGraphCachelot.ioGridGainNeo4j
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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