DBMS > Cachelot.io vs. PostgreSQL

System Properties Comparison Cachelot.io vs. PostgreSQL

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Editorial information provided by DB-Engines

Name

Description

In-memory caching system

Widely used open source RDBMS info

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Key-value store

Relational DBMS info

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.00
Rank	#337	Overall
	#60	Key-value stores

Score	527.00
Rank	#4	Overall
	#4	Relational DBMS

Website

cachelot.io

www.postgresql.org

Technical documentation

www.postgresql.org/docs/manuals

Developer

PostgreSQL Global Development Group info

www.postgresql.org/developer

Initial release

2015

1989

1989: Postgres, 1996: PostgreSQL

Current release

12.3, May 2020

License

Commercial or Open Source

Open Source info

Simplified BSD License

Open Source info

BSD

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

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Implementation language

C++

Server operating systems

FreeBSD
Linux
OS X

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

Memcached protocol

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby

.Net
C
C++
Delphi
Java info

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts info

Stored procedures

user defined functions info

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods info

Methods for redundantly storing data on multiple nodes

none

Master-slave replication info

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

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Conferences and events

more DBMS events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

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