DBMS > DolphinDB vs. PostgreSQL

System Properties Comparison DolphinDB vs. PostgreSQL

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Our visitors often compare DolphinDB and PostgreSQL with InfluxDB, ClickHouse and TimescaleDB.

Editorial information provided by DB-Engines

Name

Description

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

Widely used open source RDBMS

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

Primary database model

Time Series DBMS

Relational DBMS

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

Secondary database models

Relational DBMS

Document store
Graph DBMS

with Apache Age
Spatial DBMS

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

Score	3.88
Rank	#99	Overall
	#6	Time Series DBMS

Score	612.82
Rank	#4	Overall
	#4	Relational DBMS

Website

www.dolphindb.com

www.postgresql.org

Technical documentation

www.dolphindb.com/help

www.postgresql.org/docs

Developer

DolphinDB, Inc

PostgreSQL Global Development Group

www.postgresql.org/developer

Initial release

2018

1989

1989: Postgres, 1996: PostgreSQL

Current release

v2.00.4, January 2022

15.3, May 2023

License

Commercial or Open Source

commercial

free community version available

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux
Windows

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

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

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

SQL-like query language

yes

standard with numerous extensions

APIs and other access methods

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

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

Supported programming languages

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

yes

user defined functions

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

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

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

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Administrators, Users, Groups

fine grained access rights according to SQL-standard

More information provided by the system vendor

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Related products and services

3rd parties

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

Driving the Future of PostgreSQL Adoption
15 November 2021, Umair Shahid, Percona (sponsor)

show all

Conferences and events

more DBMS events

PGCon 2023, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 30 May 2023 - 2 June 2023 (finished)

Recent citations in the news

DolphinDB to Offer Access to ICE Consolidated Feed and Historical Tick Data
23 April 2023, Yahoo Finance

InfluxDB’s next-gen time-series engine is built on Rust, supports SQL
26 October 2022, InfoWorld

Intercontinental Exchange Stock (NYSE:ICE), Quotes and News ...
8 February 2021, Benzinga

provided by Google News

PostgreSQL 16 advances query parallelism
26 May 2023, InfoWorld

MongoDB vs. PostgreSQL vs. ScyllaDB: Tractian's Experience
31 May 2023, The New Stack

MariaDB's Xpand offers PostgreSQL compatibility without the forking drama
10 May 2023, The Register

How to Migrate from Oracle to PostgreSQL
10 May 2023, hackernoon.com

How to Set Up a PostgreSQL Database on Ubuntu
13 May 2023, AddictiveTips

provided by Google News

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