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DBMS > Badger vs. eXtremeDB vs. PostgreSQL

System Properties Comparison Badger vs. eXtremeDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisoneXtremeDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Natively in-memory DBMS with options for persistency, high-availability and clusteringWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
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
Score0.24
Rank#300  Overall
#43  Key-value stores
Score0.99
Rank#185  Overall
#87  Relational DBMS
#17  Time Series DBMS
Score666.37
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.mcobject.comwww.postgresql.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.mcobject.com/­docs/­extremedb.htmwww.postgresql.org/­docs
DeveloperDGraph LabsMcObjectPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201720011989 info1989: Postgres, 1996: PostgreSQL
Current release8.2, 202116.4, August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
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 and C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 infosupport of XML interfaces availableyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyes infostandard with numerous extensions
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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Related products and services
3rd partiesCYBERTEC is a premier consulting company that provides open-source database PostgreSQL management and data science solutions. By offering PostgreSQL migrations, administration, design, and more, CYBERTEC provides an all-in-one catalog of powerful PostgreSQL support. It's through this exceptional service, equipped with a team of experts, that the company has established a proven reputation. When it comes to Machine Learning, Artificial Intelligence, and Big Data, CYBERTEC offers services customized for you.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgereXtremeDBPostgreSQL
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