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DBMS > Bangdb vs. Graphite vs. JanusGraph vs. Kinetica vs. VelocityDB

System Properties Comparison Bangdb vs. Graphite vs. JanusGraph vs. Kinetica vs. VelocityDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraphite  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSGraph DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitebangdb.comgithub.com/­graphite-project/­graphite-webjanusgraph.orgwww.kinetica.comvelocitydb.com
Technical documentationdocs.bangdb.comgraphite.readthedocs.iodocs.janusgraph.orgdocs.kinetica.comvelocitydb.com/­UserGuide
DeveloperSachin Sinha, BangDBChris DavisLinux Foundation; originally developed as Titan by AureliusKineticaVelocityDB Inc
Initial release20122006201720122011
Current releaseBangDB 2.0, October 20210.6.3, February 20237.1, August 20217.x
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++PythonJavaC, C++C#
Server operating systemsLinuxLinux
Unix
Linux
OS X
Unix
Windows
LinuxAny that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsNumeric data onlyyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like DML and DDL statementsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP API
Sockets
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesC
C#
C++
Java
Python
JavaScript (Node.js)
Python
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnonoyesuser defined functionsno
Triggersyes, Notifications (with Streaming only)noyesyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infolockingyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes 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 modeyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes (enterprise version only)noUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelBased on Windows Authentication

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BangdbGraphiteJanusGraph infosuccessor of TitanKineticaVelocityDB
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