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DBMS > Bangdb vs. Solr

System Properties Comparison Bangdb vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Search engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#324  Overall
#43  Document stores
#31  Graph DBMS
#28  Time Series DBMS
Score54.05
Rank#21  Overall
#3  Search engines
Websitebangdb.comlucene.apache.org/­solr
Technical documentationbangdb.com/­developerlucene.apache.org/­solr/­resources.html
DeveloperSachin Sinha, BangDBApache Software Foundation
Initial release20122006
Current releaseBangDB 2.0, October 20219.0.0, May 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-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, eventsyes 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.noyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolSolr Parallel SQL Interface
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava plugins
Triggersyes, Notifications (with Streaming only)yes 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
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-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 Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes
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 modeyes
User concepts infoAccess controlyes (enterprise version only)yes
More information provided by the system vendor
BangdbSolr
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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More resources
BangdbSolr
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