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DBMS > DataFS vs. Ehcache vs. IRONdb vs. Neo4j

System Properties Comparison DataFS vs. Ehcache vs. IRONdb vs. Neo4j

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEhcache  Xexclude from comparisonIRONdb  Xexclude from comparisonNeo4j  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely adopted Java cache with tiered storage optionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelObject oriented DBMSKey-value storeTime Series DBMSGraph DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitenewdatabase.comwww.ehcache.orgwww.circonus.com/solutions/time-series-database/neo4j.com
Technical documentationdev.mobiland.com/­Overview.xspwww.ehcache.org/­documentationdocs.circonus.com/irondb/category/getting-startedneo4j.com/­docs
DeveloperMobiland AGTerracotta Inc, owned by Software AGCirconus LLC.Neo4j, Inc.
Initial release2018200920172007
Current release1.1.263, October 20223.10.0, March 2022V0.10.20, January 20185.20, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen 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 languageJavaC and C++Java, Scala
Server operating systemsWindowsAll OS with a Java VMLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 indexesnononoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JCacheHTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes, in Luayes infoUser defined Procedures and Functions
Triggersno, except callback-events from server when changes happenedyes infoCache Event Listenersnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoby using Terracotta ServerAutomatic, metric affinity per nodeyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverconfigurable replication factor, datacenter awareCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency per node, eventual consistency across nodesCausal 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 dataACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlWindows-ProfilenonoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DataFSEhcacheIRONdbNeo4j
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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