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DBMS > Bangdb vs. DataFS vs. Solr vs. TinkerGraph vs. WakandaDB

System Properties Comparison Bangdb vs. DataFS vs. Solr vs. TinkerGraph vs. WakandaDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDataFS  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Object oriented DBMSSearch engineGraph DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSGraph 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
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitebangdb.comnewdatabase.comsolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwakanda.github.io
Technical documentationdocs.bangdb.comdev.mobiland.com/­Overview.xspsolr.apache.org/­resources.htmlwakanda.github.io/­doc
DeveloperSachin Sinha, BangDBMobiland AGApache Software FoundationWakanda SAS
Initial release20122018200620092012
Current releaseBangDB 2.0, October 20211.1.263, October 20229.6.0, April 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJavaC++, JavaScript
Server operating systemsLinuxWindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infosupports customizable data types and automatic typingyesyes
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.nonoyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL like support with command line toolnoSolr Parallel SQL Interfacenono
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Java API
RESTful HTTP/JSON API
TinkerPop 3RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C#
C++
VB.Net
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
JavaScript
Server-side scripts infoStored proceduresnoJava pluginsnoyes
Triggersyes, Notifications (with Streaming only)no, except callback-events from server when changes happenedyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmProprietary Sharding systemShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesnoyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesoptionalyes
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 modenoyesyesno
User concepts infoAccess controlyes (enterprise version only)Windows-Profileyesnoyes

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More resources
BangdbDataFSSolrTinkerGraphWakandaDB
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