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DBMS > Dragonfly vs. Hawkular Metrics vs. HBase vs. OpenEdge vs. Prometheus

System Properties Comparison Dragonfly vs. Hawkular Metrics vs. HBase vs. OpenEdge vs. Prometheus

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeTime Series DBMSWide column storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.hawkular.orghbase.apache.orgwww.progress.com/­openedgeprometheus.io
Technical documentationwww.dragonflydb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docs
DeveloperDragonflyDB team and community contributorsCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetProgress Software Corporation
Initial release20232014200819842015
Current release1.0, March 20232.3.4, January 2021OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoApache 2.0
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 languageC++JavaJavaGo
Server operating systemsLinuxLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemescheme-freeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesoptions to bring your own types, AVROyesNumeric data only
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.nononoyesno infoImport of XML data possible
Secondary indexesnononoyesno
SQL infoSupport of SQLnononoyes infoclose to SQL 92no
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresLuanoyes infoCoprocessors in Javayesno
Triggerspublish/subscribe channels provide some trigger functionalityyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
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.yesnoyesnono
User concepts infoAccess controlPassword-based authenticationnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and groupsno

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DragonflyHawkular MetricsHBaseOpenEdgePrometheus
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