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DBMS > Hawkular Metrics vs. jBASE vs. Trino vs. Vertica

System Properties Comparison Hawkular Metrics vs. jBASE vs. Trino vs. Vertica

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonTrino  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A robust multi-value DBMS comprising development tools and middlewareFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelTime Series DBMSMultivalue DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitewww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasetrino.iowww.vertica.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9trino.io/­broadcast
trino.io/­docs/­current
vertica.com/­documentation
DeveloperCommunity supported by Red HatRocket Software (formerly Zumasys)Trino Software FoundationOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201419912012 info2020 rebranded from PrestoSQL2005
Current release5.712.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
Linux
macOS infofor devlopment
Linux
Data schemeschema-freeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnono
Secondary indexesnodepending on connected data-sourceNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
RESTful HTTP API
Trino CLI
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesGo
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyes, depending on connected data-sourceyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia Hawkular Alertingyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingdepending on connected data-sourcehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesdepending on connected data-sourceMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
depending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelSQL standard access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Hawkular MetricsjBASETrinoVertica infoOpenText™ Vertica™
News

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22 August 2024

63: Querying with JS
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11 July 2024

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Hawkular MetricsjBASETrinoVertica infoOpenText™ Vertica™
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