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DBMS > Dragonfly vs. Hawkular Metrics vs. LevelDB vs. Sadas Engine vs. Valentina Server

System Properties Comparison Dragonfly vs. Hawkular Metrics vs. LevelDB vs. Sadas Engine vs. Valentina Server

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonValentina Server  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsObject-relational database and reports server
Primary database modelKey-value storeTime Series DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.hawkular.orggithub.com/­google/­leveldbwww.sadasengine.comwww.valentina-db.net
Technical documentationwww.dragonflydb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDragonflyDB team and community contributorsCommunity supported by Red HatGoogleSADAS s.r.l.Paradigma Software
Initial release20232014201120061999
Current release1.0, March 20231.23, February 20218.05.7.5
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoBSDcommercial infofree trial version 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 languageC++JavaC++C++
Server operating systemsLinuxLinux
OS X
Windows
Illumos
Linux
OS X
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemescheme-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTJDBC
ODBC
Proprietary protocol
ODBC
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++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresLuanononoyes
Triggerspublish/subscribe channels provide some trigger functionalityyes infovia Hawkular Alertingnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlPassword-based authenticationnonoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DragonflyHawkular MetricsLevelDBSadas EngineValentina Server
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