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DBMS > Hawkular Metrics vs. Netezza vs. OrigoDB vs. Trino

System Properties Comparison Hawkular Metrics vs. Netezza vs. OrigoDB vs. Trino

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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 comparisonOrigoDB  Xexclude from comparisonTrino  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 PureSystemsA fully ACID in-memory object graph databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.hawkular.orgwww.ibm.com/­products/­netezzaorigodb.comtrino.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCommunity supported by Red HatIBMRobert Friberg et alTrino Software Foundation
Initial release201420002009 infounder the name LiveDB2012 info2020 rebranded from PrestoSQL
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache Version 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaC#Java
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceLinux
Windows
Linux
macOS infofor devlopment
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NETno
Secondary indexesnoyesyesdepending on connected data-source
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsHTTP RESTJDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.NetGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesyesyes, depending on connected data-source
Triggersyes infovia Hawkular Alertingnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infoclient side managed; servers are not synchronizeddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
depending on connected data-source
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptRole based authorizationSQL standard access control
More information provided by the system vendor
Hawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMOrigoDBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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Hawkular MetricsNetezza infoAlso called PureData System for Analytics by IBMOrigoDBTrino
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