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DBMS > Bangdb vs. Hive vs. Kdb vs. Lovefield

System Properties Comparison Bangdb vs. Hive vs. Kdb vs. Lovefield

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHive  Xexclude from comparisonKdb  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMSEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsSpatial DBMSRelational 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitebangdb.comhive.apache.orgkx.comgoogle.github.io/­lovefield
Technical documentationdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperSachin Sinha, BangDBApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plcGoogle
Initial release201220122000 infokdb was released 2000, kdb+ in 20032014
Current releaseBangDB 2.0, October 20213.1.3, April 20223.6, May 20182.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2commercial infofree 32-bit versionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaqJavaScript
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
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.noyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsSQL-like query language (q)SQL-like query language infovia JavaScript builder pattern
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC
C#
C++
Java
Python
C++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersyes, Notifications (with Streaming only)noyes infowith viewsUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
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 modeyesyes infousing MemoryDB
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and rolesrights management via user accountsno
More information provided by the system vendor
BangdbHiveKdbLovefield
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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BangdbHiveKdbLovefield
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