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DBMS > Bangdb vs. GeoMesa vs. Hawkular Metrics vs. Kdb

System Properties Comparison Bangdb vs. GeoMesa vs. Hawkular Metrics vs. Kdb

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGeoMesa  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Spatial DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitebangdb.comwww.geomesa.orgwww.hawkular.orgkx.com
Technical documentationdocs.bangdb.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.com
DeveloperSachin Sinha, BangDBCCRi and othersCommunity supported by Red HatKx Systems, a division of First Derivatives plc
Initial release2012201420142000 infokdb was released 2000, kdb+ in 2003
Current releaseBangDB 2.0, October 20214.0.5, February 20243.6, May 2018
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache License 2.0Open Source infoApache 2.0commercial infofree 32-bit version
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++ScalaJavaq
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL like support with command line toolnonoSQL-like query language (q)
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
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
Server-side scripts infoStored proceduresnononouser defined functions
Triggersyes, Notifications (with Streaming only)noyes infovia Hawkular Alertingyes infowith views
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmdepending on storage layerSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)depending on storage layerselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglydepending on storage layerEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
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 modedepending on storage layernoyes
User concepts infoAccess controlyes (enterprise version only)yes infodepending on the DBMS used for storagenorights management via user accounts
More information provided by the system vendor
BangdbGeoMesaHawkular MetricsKdb
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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More resources
BangdbGeoMesaHawkular MetricsKdb
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