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DBMS > Badger vs. Firebird vs. HBase vs. NuoDB vs. RocksDB

System Properties Comparison Badger vs. Firebird vs. HBase vs. NuoDB vs. RocksDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebird  Xexclude from comparisonHBase  Xexclude from comparisonNuoDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Firebird is an open source RDBMS forked from Borland's InterBaseWide-column store based on Apache Hadoop and on concepts of BigTableNuoDB is a webscale distributed database that supports SQL and ACID transactionsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSWide column storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.firebirdsql.orghbase.apache.orgwww.3ds.com/­nuodb-distributed-sql-databaserocksdb.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.firebirdsql.org/­en/­reference-manualshbase.apache.org/­book.htmldoc.nuodb.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperDGraph LabsFirebird FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetDassault Systèmes infooriginally NuoDB, Inc.Facebook, Inc.
Initial release20172000 infoAs fork of Borland's InterBase200820132013
Current release5.0.0, January 20242.3.4, January 20218.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoInitial Developer's Public LicenseOpen Source infoApache version 2commercial infolimited edition freeOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++JavaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Unix
Windows infousing Cygwin
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROyesno
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 indexesnoyesnoyesno
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesGoC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoPSQLyes infoCoprocessors in JavaJava, SQLno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
yes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)ACID infotunable commit protocolyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary tableyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACStandard SQL roles/ privileges, Administrative Usersno

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More resources
BadgerFirebirdHBaseNuoDBRocksDB
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