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DBMS > JanusGraph vs. NSDb vs. Titan vs. Typesense

System Properties Comparison JanusGraph vs. NSDb vs. Titan vs. Typesense

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonTitan  Xexclude from comparisonTypesense  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTitan is a Graph DBMS optimized for distributed clusters.A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelGraph DBMSTime Series DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.78
Rank#131  Overall
#12  Graph DBMS
Score0.00
Rank#386  Overall
#41  Time Series DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitejanusgraph.orgnsdb.iogithub.com/­thinkaurelius/­titantypesense.org
Technical documentationdocs.janusgraph.orgnsdb.io/­Architecturegithub.com/­thinkaurelius/­titan/­wikitypesense.org/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusAurelius, owned by DataStax
Initial release2017201720122015
Current release1.0.0, October 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache license, version 2.0Open Source infoGPL V3
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.
Implementation languageJavaJava, ScalaJavaC++
Server operating systemsLinux
OS X
Unix
Windows
Linux
macOS
Linux
OS X
Unix
Windows
Linux
Data schemeyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes
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 indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesClojure
Java
Python
Java
Scala
Clojure
Java
Python
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerUser authentification and security via Rexster Graph Server

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More resources
JanusGraph infosuccessor of TitanNSDbTitanTypesense
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
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Recent citations in the news

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

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

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

The year of the graph: Getting graphic, going native, reshaping the landscape
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Third Time Is The Charm For Nebula Graph Database
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Building a Graph Database on AWS Using Amazon DynamoDB and Titan
22 October 2015, AWS Blog

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
20 August 2015, All Things Distributed

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

Graph database technology starts to come of age beyond social media
17 May 2016, ComputerWeekly.com

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database
24 August 2015, AWS Blog

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29 July 2024, Laravel News

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17 January 2024, Laravel News

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