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

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

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonIRONdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonWakandaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA 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 modelGraph DBMS
Key-value store
Relational DBMSTime Series DBMSGraph DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Websitewww.graphengine.iowww.h2database.comwww.circonus.com/solutions/time-series-database/janusgraph.orgwakanda.github.io
Technical documentationwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.circonus.com/irondb/category/getting-starteddocs.janusgraph.orgwakanda.github.io/­doc
DeveloperMicrosoftThomas MuellerCirconus LLC.Linux Foundation; originally developed as Titan by AureliusWakanda SAS
Initial release20102005201720172012
Current release2.2.220, July 2023V0.10.20, January 20180.6.3, February 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen 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 language.NET and CJavaC and C++JavaC++, JavaScript
Server operating systems.NETAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsyes, in Luayesyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneAutomatic, metric affinity per nodeyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseconfigurable replication factor, datacenter awareyesnone
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 systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes 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.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Serveryes

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More resources
Graph Engine infoformer name: TrinityH2IRONdbJanusGraph infosuccessor of TitanWakandaDB
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