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DBMS > Amazon Neptune vs. Bangdb vs. JanusGraph vs. Kdb

System Properties Comparison Amazon Neptune vs. Bangdb vs. JanusGraph vs. Kdb

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBangdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudConverged 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 2017High performance Time Series DBMS
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Graph DBMSTime Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­neptunebangdb.comjanusgraph.orgkx.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.comdocs.janusgraph.orgcode.kx.com
DeveloperAmazonSachin Sinha, BangDBLinux Foundation; originally developed as Titan by AureliusKx Systems, a division of First Derivatives plc
Initial release2017201220172000 infokdb was released 2000, kdb+ in 2003
Current releaseBangDB 2.0, October 20210.6.3, February 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Javaq
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nononoyes
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnoSQL like support with command line toolnoSQL-like query language (q)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
Clojure
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersnoyes, Notifications (with Streaming only)yesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (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)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, implements WAL (Write ahead log) as wellyes 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.yes, run db with in-memory only modeyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)User authentification and security via Rexster Graph Serverrights management via user accounts
More information provided by the system vendor
Amazon NeptuneBangdbJanusGraph infosuccessor of TitanKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Amazon NeptuneBangdbJanusGraph infosuccessor of TitanKdb
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