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DBMS > Bangdb vs. Dragonfly vs. Newts vs. Solr

System Properties Comparison Bangdb vs. Dragonfly vs. Newts vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDragonfly  Xexclude from comparisonNewts  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceTime Series DBMS based on CassandraA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitebangdb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
opennms.github.io/­newtssolr.apache.org
Technical documentationdocs.bangdb.comwww.dragonflydb.io/­docsgithub.com/­OpenNMS/­newts/­wikisolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBDragonflyDB team and community contributorsOpenNMS GroupApache Software Foundation
Initial release2012202320142006
Current releaseBangDB 2.0, October 20211.0, March 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSL 1.1Open 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

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Implementation languageC, C++C++JavaJava
Server operating systemsLinuxLinuxLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freescheme-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsstrings, 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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnonoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolnonoSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolHTTP REST
Java API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C
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
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoLuanoJava plugins
Triggersyes, Notifications (with Streaming only)publish/subscribe channels provide some trigger functionalitynoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesnoyes
User concepts infoAccess controlyes (enterprise version only)Password-based authenticationnoyes

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BangdbDragonflyNewtsSolr
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