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DBMS > Dragonfly vs. Hawkular Metrics vs. Kinetica vs. Postgres-XL

System Properties Comparison Dragonfly vs. Hawkular Metrics vs. Kinetica vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonKinetica  Xexclude from comparisonPostgres-XL  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.Fully vectorized database across both GPUs and CPUsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.hawkular.orgwww.kinetica.comwww.postgres-xl.org
Technical documentationwww.dragonflydb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.kinetica.comwww.postgres-xl.org/­documentation
DeveloperDragonflyDB team and community contributorsCommunity supported by Red HatKinetica
Initial release2023201420122014 infosince 2012, originally named StormDB
Current release1.0, March 20237.1, August 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++C
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
macOS
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infodistributed, parallel query execution
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresLuanouser defined functionsuser defined functions
Triggerspublish/subscribe channels provide some trigger functionalityyes infovia Hawkular Alertingyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnonoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlPassword-based authenticationnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
DragonflyHawkular MetricsKineticaPostgres-XL
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