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DBMS > Hawkular Metrics vs. InfluxDB vs. OpenEdge vs. OrigoDB vs. SQream DB

System Properties Comparison Hawkular Metrics vs. InfluxDB vs. OpenEdge vs. OrigoDB vs. SQream DB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonInfluxDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrigoDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for storing time series, events and metricsApplication development environment with integrated database management systemA fully ACID in-memory object graph databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.hawkular.orgwww.influxdata.com/­products/­influxdb-overviewwww.progress.com/­openedgeorigodb.comsqream.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.influxdata.com/­influxdbdocumentation.progress.com/­output/­ua/­OpenEdge_latestorigodb.com/­docsdocs.sqream.com
DeveloperCommunity supported by Red HatProgress Software CorporationRobert Friberg et alSQream Technologies
Initial release2014201319842009 infounder the name LiveDB2017
Current release2.7.6, April 2024OpenEdge 12.2, March 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Sourcecommercial
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 languageJavaGoC#C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data and StringsyesUser defined using .NET types and collectionsyes, ANSI Standard SQL Types
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.nonoyesno infocan be achieved using .NET
Secondary indexesnonoyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes infoclose to SQL 92noyes
APIs and other access methodsHTTP RESTHTTP API
JSON over UDP
JDBC
ODBC
.NET Client API
HTTP API
LINQ
.Net
JDBC
ODBC
Supported programming languagesGo
Java
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Progress proprietary ABL (Advanced Business Language).NetC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesyesuser defined functions in Python
Triggersyes infovia Hawkular Alertingnoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoin enterprise version onlyhorizontal partitioning infosince Version 11.4horizontal partitioning infoclient side managed; servers are not synchronizedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage enginenoyes
User concepts infoAccess controlnosimple rights management via user accountsUsers and groupsRole based authorization
More information provided by the system vendor
Hawkular MetricsInfluxDBOpenEdgeOrigoDBSQream DB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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Hawkular MetricsInfluxDBOpenEdgeOrigoDBSQream DB
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