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DBMS > DataFS vs. Neo4j vs. TimesTen

System Properties Comparison DataFS vs. Neo4j vs. TimesTen

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonNeo4j  Xexclude from comparisonTimesTen  Xexclude from comparison
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.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelObject oriented DBMSGraph DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#21  Object oriented DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Score1.14
Rank#170  Overall
#76  Relational DBMS
Websitenewdatabase.comneo4j.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdev.mobiland.com/­Overview.xspneo4j.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperMobiland AGNeo4j, Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201820071998
Current release1.1.263, October 20225.23, August 2024Release 22.1
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial
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.
Implementation languageJava, Scala
Server operating systemsWindowsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnonoyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsPL/SQL
Triggersno, except callback-events from server when changes happenedyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlWindows-ProfileUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
DataFSNeo4jTimesTen
News

Announcing the Neo4j Graph Workload for Microsoft Fabric
15 May 2025

Run Cypher From Java
13 May 2025

Integrating Neo4j With LangChain4j for GraphRAG Vector Stores and Retrievers
12 May 2025

This Week in Neo4j: NODES, Knowledge Graph, Graph Analytics, MCP and more
10 May 2025

Aura Graph Analytics: A Technical Deep Dive
7 May 2025

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More resources
DataFSNeo4jTimesTen
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

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7 May 2025, theregister.com

Neo4j Brings Graph Analytics to Any Data Platform
14 May 2025, CDOTrends

Neo4j goes serverless, bringing graph analytics to any data source
7 May 2025, SiliconANGLE

Latest Neo4j release aims to simplify graph technology
7 May 2025, TechTarget

Neo4j Launches Industry's First Graph Analytics Offering For Any Data Platform
7 May 2025, PR Newswire

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Oracle starts peddling Exalytics in-memory appliance
12 March 2012, theregister.com

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