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DBMS > Bangdb vs. JanusGraph vs. Kuzu vs. Neo4j

System Properties Comparison Bangdb vs. JanusGraph vs. Kuzu vs. Neo4j

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKuzu  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017An embeddable property Graph DBMS built for query speed and scalabilityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#340  Overall
#48  Document stores
#33  Graph DBMS
#31  Time Series DBMS
Score1.78
Rank#127  Overall
#10  Graph DBMS
Score0.02
Rank#370  Overall
#38  Graph DBMS
Score47.91
Rank#20  Overall
#1  Graph DBMS
Websitebangdb.comjanusgraph.orgkuzudb.comneo4j.com
Technical documentationdocs.bangdb.comdocs.janusgraph.orgdocs.kuzudb.comneo4j.com/­docs
DeveloperSachin Sinha, BangDBLinux Foundation; originally developed as Titan by AureliusNeo4j, Inc.
Initial release2012201720222007
Current releaseBangDB 2.0, October 20211.0.0, October 20230.4.2, May 20245.23, August 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoMIT licenseOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++Java, Scala
Server operating systemsLinuxLinux
OS X
Unix
Windows
server-lessLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL like support with command line toolnonono
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
CLI Client
Cypher Query Language
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
Python
C
C#
C++
Java
JavaScript
Python
Rust
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoUser defined Procedures and Functions
Triggersyes, Notifications (with Streaming only)yesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeno
User concepts infoAccess controlyes (enterprise version only)User authentification and security via Rexster Graph ServernoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BangdbJanusGraph infosuccessor of TitanKuzuNeo4j
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