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DBMS > Dragonfly vs. JanusGraph vs. NSDb vs. OpenMLDB

System Properties Comparison Dragonfly vs. JanusGraph vs. NSDb vs. OpenMLDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA 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 KubernetesAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelKey-value storeGraph DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
janusgraph.orgnsdb.ioopenmldb.ai
Technical documentationwww.dragonflydb.io/­docsdocs.janusgraph.orgnsdb.io/­Architectureopenmldb.ai/­docs/­zh/­main
DeveloperDragonflyDB team and community contributorsLinux Foundation; originally developed as Titan by Aurelius4 Paradigm Inc.
Initial release2023201720172020
Current release1.0, March 20230.6.3, February 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, ScalaC++, Java, Scala
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
macOS
Linux
Data schemescheme-freeyesFixed schema
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes: 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.nononono
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
JDBC
SQLAlchemy
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Clojure
Java
Python
Java
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresLuayesnono
Triggerspublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPassword-based authenticationUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
DragonflyJanusGraph infosuccessor of TitanNSDbOpenMLDB
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