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DBMS > Hawkular Metrics vs. Ignite vs. OpenEdge vs. Prometheus vs. Riak KV

System Properties Comparison Hawkular Metrics vs. Ignite vs. OpenEdge vs. Prometheus vs. Riak KV

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonIgnite  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Application development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.hawkular.orgignite.apache.orgwww.progress.com/­openedgeprometheus.io
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideapacheignite.readme.io/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCommunity supported by Red HatApache Software FoundationProgress Software CorporationOpenSource, formerly Basho Technologies
Initial release20142015198420152009
Current releaseApache Ignite 2.6OpenEdge 12.2, March 20203.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
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++, Java, .NetGoErlang
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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.noyesyesno infoImport of XML data possibleno
Secondary indexesnoyesyesnorestricted
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92nono
APIs and other access methodsHTTP RESTHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesGo
Java
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesnoErlang
Triggersyes infovia Hawkular Alertingyes (cache interceptors and events)yesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infosince Version 11.4ShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes (replicated cache)Source-replica replicationyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnono
User concepts infoAccess controlnoSecurity Hooks for custom implementationsUsers and groupsnoyes, using Riak Security

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Hawkular MetricsIgniteOpenEdgePrometheusRiak KV
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