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DBMS > BoltDB vs. Dragonfly vs. Kinetica vs. OpenQM vs. Solr

System Properties Comparison BoltDB vs. Dragonfly vs. Kinetica vs. OpenQM vs. Solr

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDragonfly  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeKey-value storeRelational DBMSMultivalue DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitegithub.com/­boltdb/­boltgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsolr.apache.org
Technical documentationwww.dragonflydb.io/­docsdocs.kinetica.comsolr.apache.org/­resources.html
DeveloperDragonflyDB team and community contributorsKineticaRocket Software, originally Martin PhillipsApache Software Foundation
Initial release20132023201219932006
Current release1.0, March 20237.1, August 20213.4-129.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSL 1.1commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C, C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freescheme-freeyesyes infowith some exceptionsyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyes infosupports customizable data types and automatic typing
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.nononoyesyes
Secondary indexesnonoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsnoSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesGoC
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
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoLuauser defined functionsyesJava plugins
Triggersnopublish/subscribe channels provide some trigger functionalityyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptsnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
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.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoPassword-based authenticationAccess rights for users and roles on table levelAccess rights can be defined down to the item levelyes

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More resources
BoltDBDragonflyKineticaOpenQM infoalso called QMSolr
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