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DBMS > Hawkular Metrics vs. Kdb vs. TDengine vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. Kdb vs. TDengine vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKdb  Xexclude from comparisonTDengine  Xexclude from comparisonTimescaleDB  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 DBMSTime Series DBMS and big data platformA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#374  Overall
#38  Time Series DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.hawkular.orgkx.comgithub.com/­taosdata/­TDengine
tdengine.com
www.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidecode.kx.comdocs.tdengine.comdocs.timescale.com
DeveloperCommunity supported by Red HatKx Systems, a division of First Derivatives plcTDEngine, previously Taos DataTimescale
Initial release20142000 infokdb was released 2000, kdb+ in 200320192017
Current release3.6, May 20183.0, August 20222.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoGPL V3, also commercial editions availableOpen Source infoApache 2.0
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 languageJavaqCC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesnoyes
Secondary indexesnoyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnoSQL-like query language (q)Standard SQL with extensions for time-series applicationsyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
RESTful HTTP API
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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyes infowith viewsyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.noyesno
User concepts infoAccess controlnorights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Hawkular MetricsKdbTDengineTimescaleDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» 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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsupon request
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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