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DBMS > NSDb vs. Titan

System Properties Comparison NSDb vs. Titan

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Our visitors often compare NSDb and Titan with Microsoft SQL Server, Elasticsearch and Amazon Neptune.

Editorial information provided by DB-Engines
NameNSDb  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.
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#387  Overall
#41  Time Series DBMS
Websitensdb.iotitan.thinkaurelius.com
Technical documentationnsdb.io/­Architecturegithub.com/­thinkaurelius/­titan/­wiki
DeveloperAurelius, owned by DataStax
Initial release20172012
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 languageJava, ScalaJava
Server operating systemsLinux
macOS
Linux
OS X
Unix
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyes
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 indexesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsgRPC
HTTP REST
WebSocket
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes
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 systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
User concepts infoAccess controlUser authentification and security via Rexster Graph Server

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More resources
NSDbTitan
DB-Engines blog posts

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

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Recent citations in the news

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

DataStax acquires Aurelius, the startup behind the Titan graph database
3 February 2015, VentureBeat

From graph to the world: pioneering a database virtual machine
22 January 2018, ZDNet

TigerGraph Launches Graph Database-as-a-Service on Azure
16 July 2020, eWeek

TigerGraph, a graph database born to roar
19 September 2017, ZDNet

provided by Google News



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