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DBMS > Badger vs. HBase vs. RocksDB vs. SWC-DB

System Properties Comparison Badger vs. HBase vs. RocksDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHBase  Xexclude from comparisonRocksDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A high performance, scalable Wide Column DBMS
Primary database modelKey-value storeWide column storeKey-value storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#311  Overall
#46  Key-value stores
Score42.45
Rank#26  Overall
#2  Wide column stores
Score4.29
Rank#87  Overall
#15  Key-value stores
Score0.05
Rank#335  Overall
#13  Wide column stores
Websitegithub.com/­dgraph-io/­badgerhbase.apache.orgrocksdb.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhbase.apache.orggithub.com/­facebook/­rocksdb/­wiki
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetFacebook, Inc.Alex Kashirin
Initial release2017200820132020
Current release2.3.4, January 20217.3.1, June 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoBSDOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
LinuxLinux
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROno
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 indexesnonono
SQL infoSupport of SQLnononoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
Thrift
C++ API
Java API
Proprietary protocol
Thrift
Supported programming languagesGoC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
Perl
Python
Ruby
C++
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)yes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
BadgerHBaseRocksDBSWC-DB infoSuper Wide Column Database
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