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DBMS > Hawkular Metrics vs. OpenEdge vs. Prometheus vs. Splice Machine vs. Transwarp ArgoDB

System Properties Comparison Hawkular Metrics vs. OpenEdge vs. Prometheus vs. Splice Machine vs. Transwarp ArgoDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp ArgoDB  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 systemOpen-source Time Series DBMS and monitoring systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSearch engine
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
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitewww.hawkular.orgwww.progress.com/­openedgeprometheus.iosplicemachine.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docssplicemachine.com/­how-it-worksdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperCommunity supported by Red HatProgress Software CorporationSplice MachineTranswarp
Initial release2014198420152014
Current releaseOpenEdge 12.2, March 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
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 languageJavaGoJava
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 infoImport of XML data possible
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infoclose to SQL 92noyesyes
APIs and other access methodsHTTP RESTJDBC
ODBC
RESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnoyes infoJava
Triggersyes infovia Hawkular Alertingyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4ShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnoUsers and groupsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Hawkular MetricsOpenEdgePrometheusSplice MachineTranswarp ArgoDB
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