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DBMS > Hawkular Metrics vs. Netezza vs. OpenEdge vs. OpenMLDB

System Properties Comparison Hawkular Metrics vs. Netezza vs. OpenEdge vs. OpenMLDB

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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 comparisonOpenEdge  Xexclude from comparisonOpenMLDB  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 PureSystemsApplication development environment with integrated database management systemAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­netezzawww.progress.com/­openedgeopenmldb.ai
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestopenmldb.ai/­docs/­zh/­main
DeveloperCommunity supported by Red HatIBMProgress Software Corporation4 Paradigm Inc.
Initial release2014200019842020
Current releaseOpenEdge 12.2, March 20202024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, Scala
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyes infoclose to SQL 92yes
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesGo
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Progress proprietary ABL (Advanced Business Language)C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnoyesyesno
Triggersyes infovia Hawkular Alertingnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infosince Version 11.4horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
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.nonoyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptUsers and groupsfine grained access rights according to SQL-standard

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More resources
Hawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMOpenEdgeOpenMLDB
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