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DBMS > Badger vs. Bangdb vs. Memcached vs. VoltDB

System Properties Comparison Badger vs. Bangdb vs. Memcached vs. VoltDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonMemcached  Xexclude from comparisonVoltDB  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 graphIn-memory key-value store, originally intended for cachingDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comwww.memcached.orgwww.voltdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comgithub.com/­memcached/­memcached/­wikidocs.voltdb.com
DeveloperDGraph LabsSachin Sinha, BangDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalVoltDB Inc.
Initial release2017201220032010
Current releaseBangDB 2.0, October 20211.6.27, May 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3Open Source infoBSD licenseOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++CJava, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X infofor development
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsnoyes
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.nono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLnoSQL like support with command line toolnoyes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocolJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGoC
C#
C++
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnononoJava
Triggersnoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)none infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellnoyes infoSnapshots and command logging
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 mode
User concepts infoAccess controlnoyes (enterprise version only)yes infousing SASL (Simple Authentication and Security Layer) protocolUsers and roles with access to stored procedures

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BadgerBangdbMemcachedVoltDB
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