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DBMS > Bangdb vs. Riak KV vs. searchxml vs. Solr

System Properties Comparison Bangdb vs. Riak KV vs. searchxml vs. Solr

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonRiak KV  Xexclude from comparisonsearchxml  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed, fault tolerant key-value storeDBMS for structured and unstructured content wrapped with an application serverA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesNative XML DBMS
Search engine
Search engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Websitebangdb.comwww.searchxml.net/­category/­productssolr.apache.org
Technical documentationdocs.bangdb.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.searchxml.net/­support/­handoutssolr.apache.org/­resources.html
DeveloperSachin Sinha, BangDBOpenSource, formerly Basho Technologiesinformationpartners gmbhApache Software Foundation
Initial release2012200920152006
Current releaseBangDB 2.0, October 20213.2.0, December 20221.09.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2, commercial enterprise editioncommercialOpen 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++ErlangC++Java
Server operating systemsLinuxLinux
OS X
WindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-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, eventsnoyesyes 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.nonoyesyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialrestrictedyesyes 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
HTTP API
Native Erlang Interface
RESTful HTTP API
WebDAV
XQuery
XSLT
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infomost other programming languages supported via APIs.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoErlangyes infoon the application serverJava plugins
Triggersyes, Notifications (with Streaming only)yes infopre-commit hooks and post-commit hooksnoyes 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 infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factoryes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writeroptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)yes, using Riak SecurityDomain, group and role-based access control at the document level and for application servicesyes

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BangdbRiak KVsearchxmlSolr
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