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DBMS > Hawkular Metrics vs. OpenEdge vs. OrigoDB vs. Prometheus vs. SQLite

System Properties Comparison Hawkular Metrics vs. OpenEdge vs. OrigoDB vs. Prometheus vs. SQLite

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Application development environment with integrated database management systemA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.hawkular.orgwww.progress.com/­openedgeorigodb.comprometheus.iowww.sqlite.org
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docsprometheus.io/­docswww.sqlite.org/­docs.html
DeveloperCommunity supported by Red HatProgress Software CorporationRobert Friberg et alDwayne Richard Hipp
Initial release201419842009 infounder the name LiveDB20152000
Current releaseOpenEdge 12.2, March 20203.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#GoC
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Windows
server-less
Data schemeschema-freeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsNumeric data onlyyes infonot rigid because of 'dynamic typing' concept.
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 infocan be achieved using .NETno infoImport of XML data possibleno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyes infoclose to SQL 92nonoyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP RESTJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyesyesnono
Triggersyes infovia Hawkular Alertingyesyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronizedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationSource-replica replicationyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistencynone
Foreign keys infoReferential integritynoyesdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlnoUsers and groupsRole based authorizationnono

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Hawkular MetricsOpenEdgeOrigoDBPrometheusSQLite
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