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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonWakandaDB  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 DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSTime Series DBMS
Vector DBMS
Object oriented DBMS
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
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitebangdb.comwww.hawkular.orgkx.comwakanda.github.io
Technical documentationdocs.bangdb.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comwakanda.github.io/­doc
DeveloperSachin Sinha, BangDBCommunity supported by Red HatKx Systems, a division of First Derivatives plcWakanda SAS
Initial release201220142000 infokdb was released 2000, kdb+ in 20032012
Current releaseBangDB 2.0, October 20213.6, May 20182.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoAGPLv3, extended commercial license available
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++, JavaScript
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
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'
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
RESTful HTTP API
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
JavaScript
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersyes, Notifications (with Streaming only)yes infovia Hawkular Alertingyes infowith viewsyes
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 partitioningnone
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 replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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
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 modenoyesno
User concepts infoAccess controlyes (enterprise version only)norights management via user accountsyes
More information provided by the system vendor
BangdbHawkular MetricsKdbWakandaDB
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 MetricsKdbWakandaDB
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