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DBMS > Hawkular Metrics vs. Kdb vs. PostgreSQL vs. Speedb

System Properties Comparison Hawkular Metrics vs. Kdb vs. PostgreSQL vs. Speedb

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpeedb  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 DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitewww.hawkular.orgkx.comwww.postgresql.orgwww.speedb.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comwww.postgresql.org/­docs
DeveloperCommunity supported by Red HatKx Systems, a division of First Derivatives plcPostgreSQL Global Development Group infowww.postgresql.org/­developerSpeedb
Initial release20142000 infokdb was released 2000, kdb+ in 20031989 info1989: Postgres, 1996: PostgreSQL2020
Current release3.6, May 201816.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoBSDOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqCC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLnoSQL-like query language (q)yes infostandard with numerous extensionsno
APIs and other access methodsHTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyes infovia Hawkular Alertingyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes
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
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
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.noyesnoyes
User concepts infoAccess controlnorights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Hawkular MetricsKdbPostgreSQLSpeedb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» 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
Open source - Speedb OSS is released under an Apache license and can be found on...
» more

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