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DBMS > Dragonfly vs. Ehcache vs. Hawkular Metrics vs. RethinkDB

System Properties Comparison Dragonfly vs. Ehcache vs. Hawkular Metrics vs. RethinkDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonEhcache  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonRethinkDB  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 instanceA widely adopted Java cache with tiered storage optionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value storeKey-value storeTime Series DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#255  Overall
#38  Key-value stores
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ehcache.orgwww.hawkular.orgrethinkdb.com
Technical documentationwww.dragonflydb.io/­docswww.ehcache.org/­documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guiderethinkdb.com/­docs
DeveloperDragonflyDB team and community contributorsTerracotta Inc, owned by Software AGCommunity supported by Red HatThe Linux Foundation infosince July 2017
Initial release2023200920142009
Current release1.0, March 20233.10.0, March 20222.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaC++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows
Data schemescheme-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes infostring, binary, float, bool, date, geometry
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.nononono
Secondary indexesnononoyes
SQL infoSupport of SQLnononono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJCacheHTTP REST
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
JavaGo
Java
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresLuanono
Triggerspublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersyes infovia Hawkular AlertingClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infobased on CassandraSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoby using Terracotta Serverselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyes infosupports JTA and can work as an XA resourcenoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlPassword-based authenticationnonoyes infousers and table-level permissions

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DragonflyEhcacheHawkular MetricsRethinkDB
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