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DBMS > HugeGraph vs. Titan

System Properties Comparison HugeGraph vs. Titan

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Our visitors often compare HugeGraph and Titan with Neo4j, JanusGraph and Dgraph.

Editorial information provided by DB-Engines
NameHugeGraph  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.
DescriptionA fast-speed and highly-scalable Graph DBMSTitan 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
Score0.11
Rank#305  Overall
#30  Graph DBMS
Websitegithub.com/­hugegraphtitan.thinkaurelius.com
Technical documentationhugegraph.github.io/­hugegraph-docgithub.com/­thinkaurelius/­titan/­wiki
DeveloperBaiduAurelius, owned by DataStax
Initial release20182012
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open 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 languageJavaJava
Server operating systemsLinux
macOS
Unix
Linux
OS X
Unix
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGroovy
Java
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes 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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissionsUser authentification and security via Rexster Graph Server

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More resources
HugeGraphTitan
DB-Engines blog posts

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

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21 January 2014, Matthias Gelbmann

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Recent citations in the news

Graph Database: What is It and Why It Matters for Businesses?
25 September 2020, Analytics Insight

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

Impact Of Covid 19 On Graph Database Market 2020 Industry Challenges Business Overview And Forecast Research Study 2026
25 September 2020, The Daily Chronicle

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

DataStax snaps up Aurelius and its Titan team to build new graph database
3 February 2015, ZDNet

provided by Google News

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