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DBMS > Badger vs. FatDB vs. PostgreSQL vs. TypeDB

System Properties Comparison Badger vs. FatDB vs. PostgreSQL vs. TypeDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFatDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelKey-value storeDocument store
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
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
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.postgresql.orgtypedb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.postgresql.org/­docstypedb.com/­docs
DeveloperDGraph LabsFatCloudPostgreSQL Global Development Group infowww.postgresql.org/­developerVaticle
Initial release201720121989 info1989: Postgres, 1996: PostgreSQL2016
Current release16.4, August 20242.28.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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#CJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infostandard with numerous extensionsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesGoC#.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoyes infovia applicationsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hashno
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.nonono
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
BadgerFatDBPostgreSQLTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
BadgerFatDBPostgreSQLTypeDB infoformerly named Grakn
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