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DBMS > Dragonfly vs. IRONdb vs. Solr vs. Yaacomo

System Properties Comparison Dragonfly vs. IRONdb vs. Solr vs. Yaacomo

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonIRONdb  Xexclude from comparisonSolr  Xexclude from comparisonYaacomo  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA widely used distributed, scalable search engine based on Apache LuceneOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.circonus.com/solutions/time-series-database/solr.apache.orgyaacomo.com
Technical documentationwww.dragonflydb.io/­docsdocs.circonus.com/irondb/category/getting-startedsolr.apache.org/­resources.html
DeveloperDragonflyDB team and community contributorsCirconus LLC.Apache Software FoundationQ2WEB GmbH
Initial release2023201720062009
Current release1.0, March 2023V0.10.20, January 20189.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infoApache Version 2commercial
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++C and C++Java
Server operating systemsLinuxLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Android
Linux
Windows
Data schemescheme-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes infotext, numeric, histogramsyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesnonoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)Solr Parallel SQL Interfaceyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolHTTP APIJava API
RESTful HTTP/JSON API
JDBC
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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresLuayes, in LuaJava plugins
Triggerspublish/subscribe channels provide some trigger functionalitynoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter awareyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnooptimistic lockingACID
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.yesnoyesyes
User concepts infoAccess controlPassword-based authenticationnoyesfine grained access rights according to SQL-standard

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More resources
DragonflyIRONdbSolrYaacomo
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