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DBMS > Badger vs. Drizzle vs. Oracle Berkeley DB vs. PostgreSQL

System Properties Comparison Badger vs. Drizzle vs. Oracle Berkeley DB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Widely used in-process key-value storeWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgresql.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgresql.org/­docs
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerOracle infooriginally developed by Sleepycat, which was acquired by OraclePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2017200819941989 info1989: Postgres, 1996: PostgreSQL
Current release7.2.4, September 201218.1.40, May 202016.4, August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infocommercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageGoC++C, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyes infoonly with the Berkeley DB XML editionyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is availableyes infostandard with numerous extensions
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGoC
C++
Java
PHP
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnononouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnono infohooks for callbacks inside the server can be used.yes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standard

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More resources
BadgerDrizzleOracle Berkeley DBPostgreSQL
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