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DBMS > Hawkular Metrics vs. Kdb vs. Kinetica vs. Pinecone

System Properties Comparison Hawkular Metrics vs. Kdb vs. Kinetica vs. Pinecone

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.High performance Time Series DBMSFully vectorized database across both GPUs and CPUsA managed, cloud-native vector database
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMSVector DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitewww.hawkular.orgkx.comwww.kinetica.comwww.pinecone.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comdocs.kinetica.comdocs.pinecone.io/­docs/­overview
DeveloperCommunity supported by Red HatKx Systems, a division of First Derivatives plcKineticaPinecone Systems, Inc
Initial release20142000 infokdb was released 2000, kdb+ in 200320122019
Current release3.6, May 20187.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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.noyesnono
Secondary indexesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersyes infovia Hawkular Alertingyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnorights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
Hawkular MetricsKdbKineticaPinecone
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...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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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
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Hawkular MetricsKdbKineticaPinecone
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