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DBMS > Badger vs. HBase vs. OrigoDB vs. RocksDB vs. YottaDB

System Properties Comparison Badger vs. HBase vs. OrigoDB vs. RocksDB vs. YottaDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonRocksDB  Xexclude from comparisonYottaDB  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 BigTableA fully ACID in-memory object graph databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A fast and solid embedded Key-value store
Primary database modelKey-value storeWide column storeDocument store
Object oriented DBMS
Key-value storeKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitegithub.com/­dgraph-io/­badgerhbase.apache.orgorigodb.comrocksdb.orgyottadb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerhbase.apache.org/­book.htmlorigodb.com/­docsgithub.com/­facebook/­rocksdb/­wikiyottadb.com/­resources/­documentation
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetRobert Friberg et alFacebook, Inc.YottaDB, LLC
Initial release201720082009 infounder the name LiveDB20132001
Current release2.3.4, January 20218.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open SourceOpen Source infoBSDOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC#C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Windows
LinuxDocker
Linux
Data schemeschema-freeschema-free, schema definition possibleyesschema-freeschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROUser defined using .NET types and collectionsnono
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.nonono infocan be achieved using .NETnono
Secondary indexesnonoyesnono
SQL infoSupport of SQLnonononoby using the Octo plugin
APIs and other access methodsJava API
RESTful HTTP API
Thrift
.NET Client API
HTTP API
LINQ
C++ API
Java API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGoC
C#
C++
Groovy
Java
PHP
Python
Scala
.NetC
C++
Go
Java
Perl
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesno
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based authorizationnoUsers and groups based on OS-security mechanisms

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
BadgerHBaseOrigoDBRocksDBYottaDB
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