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DBMS > Dragonfly vs. Graph Engine vs. H2 vs. JanusGraph vs. WakandaDB

System Properties Comparison Dragonfly vs. Graph Engine vs. H2 vs. JanusGraph vs. WakandaDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonWakandaDB  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeGraph DBMS
Key-value store
Relational DBMSGraph DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.graphengine.iowww.h2database.comjanusgraph.orgwakanda.github.io
Technical documentationwww.dragonflydb.io/­docswww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.janusgraph.orgwakanda.github.io/­doc
DeveloperDragonflyDB team and community contributorsMicrosoftThomas MuellerLinux Foundation; originally developed as Titan by AureliusWakanda SAS
Initial release20232010200520172012
Current release1.0, March 20232.2.220, July 20230.6.3, February 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CJavaJavaC++, JavaScript
Server operating systemsLinux.NETAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemescheme-freeyesyesyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyesyes
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.nonononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
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
C#
C++
F#
Visual Basic
JavaClojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresLuayesJava Stored Procedures and User-Defined Functionsyesyes
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes 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.yesyesyesno
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes

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More resources
DragonflyGraph Engine infoformer name: TrinityH2JanusGraph infosuccessor of TitanWakandaDB
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