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DBMS > Neo4j vs. Titan

System Properties Comparison Neo4j vs. Titan

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Our visitors often compare Neo4j and Titan with Microsoft Azure Cosmos DB, JanusGraph and Amazon DynamoDB.

Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionOpen source graph databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.79
Rank#19  Overall
#1  Graph DBMS
Websiteneo4j.comtitan.thinkaurelius.com
Technical documentationneo4j.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperNeo4j, Inc.Aurelius, owned by DataStax
Initial release20072012
Current release4.2.2, January 2021
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnono
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyes
Triggersyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)User authentification and security via Rexster Graph Server
More information provided by the system vendor
Neo4jTitan
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

Top 10 Use Cases: Real-Time Recommendations
25 January 2021

This Week in Neo4j – SKOS taxonomy, Asset Management System, Introduction to Liquigraph
23 January 2021

#GraphCast: Using Graph Theory to Find the Number of Marvel Watch Orders
22 January 2021

Driving Innovation and Powering Advanced Analytics with Neo4j
20 January 2021

Top 10 Graph Database Use Cases: Fraud Detection
18 January 2021

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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
Neo4jTitan
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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Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Neo4j Poised for 2021 Growth with Top-Tier Executive Appointments
13 January 2021, PRNewswire

Graph database Market Landscape 2021 |IBM, Microsoft, oracle, AWS, neo4j – NeighborWebSJ
22 January 2021, NeighborWebSJ

Graph Database Market 2020-2027 | Oracle, IBM, Microsoft, Amazon Web Services, Neo4j, TIBCO Software – KSU | The Sentinel Newspaper
14 January 2021, KSU | The Sentinel Newspaper

GPU Database Market 2021 Strategic Assessments – Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb
23 January 2021, The Courier

Why the 2020s will be dominated by graph technology
5 January 2021, ComputerWeekly.com

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Global Report Graph Database Industry Market Sales, Revenue, Development Opportunities, Price, Demand, Top Companies, Product Types & Forecast 2026 – NeighborWebSJ
24 January 2021, NeighborWebSJ

Graph Database Market 2021 Size, Growth Trends, COVID-19 Analysis and Forecast to 2027, Key Manufacturers- SAP, Franz Inc(AllegroGraph), Datastax, Marklogic, triAGENS GmbH(Arango DB), Microsoft – Reviewindependent
22 January 2021, Reviewindependent

2020 Insights into the Global Graph Database Market by Market Research Store – The Courier
22 January 2021, The Courier

Graph Database Industry 2021 Market Share, Manufacturers, Size, Growth, Supply, Trends, Applications and 2026 Research Report – NeighborWebSJ
22 January 2021, NeighborWebSJ

Graph Database Market Demand, Top Key Players, Applications, Business Statistics and Research Methodology by Forecast to 2027 – NeighborWebSJ
19 January 2021, NeighborWebSJ

provided by Google News

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