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DBMS > Bangdb vs. Hawkular Metrics vs. Kdb vs. Percona Server for MongoDB

System Properties Comparison Bangdb vs. Hawkular Metrics vs. Kdb vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Vector DBMS
Document store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitebangdb.comwww.hawkular.orgkx.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.bangdb.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSachin Sinha, BangDBCommunity supported by Red HatKx Systems, a division of First Derivatives plcPercona
Initial release201220142000 infokdb was released 2000, kdb+ in 20032015
Current releaseBangDB 2.0, October 20213.6, May 20183.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaqC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (q)no
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
Go
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnonouser defined functionsJavaScript
Triggersyes, Notifications (with Streaming only)yes infovia Hawkular Alertingyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on Cassandrahorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modenoyesyes infovia In-Memory Engine
User concepts infoAccess controlyes (enterprise version only)norights management via user accountsAccess rights for users and roles
More information provided by the system vendor
BangdbHawkular MetricsKdbPercona Server for MongoDB
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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BangdbHawkular MetricsKdbPercona Server for MongoDB
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