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DBMS > Badger vs. Bangdb vs. BoltDB vs. Microsoft Azure Table Storage vs. Valentina Server

System Properties Comparison Badger vs. Bangdb vs. BoltDB vs. Microsoft Azure Table Storage vs. Valentina Server

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonBoltDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphAn embedded key-value store for Go.A Wide Column Store for rapid development using massive semi-structured datasetsObject-relational database and reports server
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Key-value storeWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comgithub.com/­boltdb/­boltazure.microsoft.com/­en-us/­services/­storage/­tableswww.valentina-db.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDGraph LabsSachin Sinha, BangDBMicrosoftParadigma Software
Initial release20172012201320121999
Current releaseBangDB 2.0, October 20215.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++Go
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnonoyes
SQL infoSupport of SQLnoSQL like support with command line toolnonoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIODBC
Supported programming languagesGoC
C#
C++
Java
Python
Go.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyes, Notifications (with Streaming only)nonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglynoneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, 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.noyes, run db with in-memory only modenonoyes
User concepts infoAccess controlnoyes (enterprise version only)noAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
BadgerBangdbBoltDBMicrosoft Azure Table StorageValentina Server
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