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DBMS > Kinetica vs. Titan

System Properties Comparison Kinetica vs. Titan

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Our visitors often compare Kinetica and Titan with Neo4j, MongoDB and Cassandra.

Editorial information provided by DB-Engines
NameKinetica  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.
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#198  Overall
#96  Relational DBMS
Websitewww.kinetica.comtitan.thinkaurelius.com
Technical documentationwww.kinetica.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperKineticaAurelius, owned by DataStax
Initial release20122012
Current release6.0
License infoCommercial or Open SourcecommercialOpen 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 languageC, C++Java
Server operating systemsLinuxLinux
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes
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 systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes 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 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 infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelUser authentification and security via Rexster Graph Server

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More resources
KineticaTitan
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Recent citations in the news

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22 January 2020, Dagoretti News

Graph Database Market Overview, Scope and Technology Advancement Outlook 2019 to 2026 : triAGENS GmbH, OrientDB Ltd
23 January 2020, Dagoretti News

DSE Graph review: Graph database does double duty
14 November 2019, InfoWorld

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

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

provided by Google News

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