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DBMS > BigObject vs. Hawkular Metrics vs. Kdb vs. Riak KV

System Properties Comparison BigObject vs. Hawkular Metrics vs. Kdb vs. Riak KV

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMSDistributed, fault tolerant key-value store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSTime Series DBMS
Vector DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitebigobject.iowww.hawkular.orgkx.com
Technical documentationdocs.bigobject.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperBigObject, Inc.Community supported by Red HatKx Systems, a division of First Derivatives plcOpenSource, formerly Basho Technologies
Initial release201520142000 infokdb was released 2000, kdb+ in 20032009
Current release3.6, May 20183.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoApache version 2, commercial enterprise edition
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 languageJavaqErlang
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyes infotable attribute 'grouped'restricted
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (q)no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresLuanouser defined functionsErlang
Triggersnoyes infovia Hawkular Alertingyes infowith viewsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replicationselectable replication factor
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 systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnonorights management via user accountsyes, using Riak Security
More information provided by the system vendor
BigObjectHawkular MetricsKdbRiak KV
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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BigObjectHawkular MetricsKdbRiak KV
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