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DBMS > Hawkular Metrics vs. Netezza vs. ReductStore

System Properties Comparison Hawkular Metrics vs. Netezza vs. ReductStore

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Data warehouse and analytics appliance part of IBM PureSystemsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#373  Overall
#38  Time Series DBMS
Score7.34
Rank#48  Overall
#30  Relational DBMS
Score0.00
Rank#388  Overall
#40  Time Series DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­netezzagithub.com/­reductstore
www.reduct.store
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.reduct.store/­docs
DeveloperCommunity supported by Red HatIBMReductStore LLC
Initial release201420002023
Current release1.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Rust
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceDocker
Linux
macOS
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
HTTP API
Supported programming languagesGo
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes
Triggersyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoUsers with fine-grained authorization concept

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More resources
Hawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMReductStore
Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

provided by Google News



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