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DBMS > DolphinDB vs. JanusGraph

System Properties Comparison DolphinDB vs. JanusGraph

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#241  Overall
#15  Time Series DBMS
Score1.79
Rank#120  Overall
#7  Graph DBMS
Websitewww.dolphindb.comjanusgraph.org
Technical documentationwww.dolphindb.com/­helpdocs.janusgraph.org
DeveloperDolphinDB, IncLinux Foundation; originally developed as Titan by Aurelius
Initial release20182017
Current release0.5.0, March 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 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++Java
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Java
JavaScript
Python
R
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
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 controlAdministrators, Users, GroupsUser authentification and security via Rexster Graph Server

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More resources
DolphinDBJanusGraph infosuccessor of Titan
Recent citations in the news

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

What & why: Graph machine learning in distributed systems
16 March 2020, Ericsson

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

Benchmarking Graph Analytics Systems: TigerGraph, Neo4j, Neptune, JanusGraph, and ArangoDB
8 May 2019, Database Trends and Applications

provided by Google News

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