DBMS > InfluxDB vs. PostgreSQL vs. Riak TS

System Properties Comparison InfluxDB vs. PostgreSQL vs. Riak TS

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Editorial information provided by DB-Engines

Name

Description

DBMS for storing time series, events and metrics

Widely used open source RDBMS

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

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

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.

Time Series DBMS

Secondary database models

Spatial DBMS

with GEO package

Document store
Graph DBMS

with Apache Age
Spatial DBMS
Vector DBMS

with pgvector extension

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

Score	21.50
Rank	#28	Overall
	#1	Time Series DBMS

Score	663.42
Rank	#4	Overall
	#4	Relational DBMS

Score	0.18
Rank	#318	Overall
	#27	Time Series DBMS

Website

www.influxdata.com/products/influxdb-overview

www.postgresql.org

Technical documentation

docs.influxdata.com/influxdb

www.postgresql.org/docs

www.tiot.jp/riak-docs/riak/ts/latest

Developer

PostgreSQL Global Development Group

www.postgresql.org/developer

Open Source, formerly Basho Technologies

Initial release

2013

1989

1989: Postgres, 1996: PostgreSQL

2015

Current release

2.7.6, April 2024

16.4, August 2024

3.0.0, September 2022

License

Commercial or Open Source

Open Source

MIT-License; commercial enterprise version available

Open Source

BSD

Open Source

Cloud-based only

Only available as a cloud service

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Implementation language

Erlang

Server operating systems

Linux
OS X

through Homebrew

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

Linux
OS X

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

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

restricted

SQL

Support of SQL

SQL-like query language

yes

standard with numerous extensions

yes, limited

APIs and other access methods

HTTP API
JSON over UDP

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

HTTP API
Native Erlang Interface

Supported programming languages

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

user defined functions

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

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

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

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

Source-replica replication

other methods possible by using 3rd party extensions

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

links between datasets can be stored

Transaction concepts

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

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

Depending on used storage engine

User concepts

Access control

simple rights management via user accounts

fine grained access rights according to SQL-standard

More information provided by the system vendor

News

Using Azure Blob Storage for InfluxDB 3 Core and Enterprise
20 March 2025

Telegraf 1.34 Release Notes
12 March 2025

Alerting with InfluxDB 3 Core and Enterprise
11 March 2025

An Introduction to Database Security
6 March 2025

Building Your First Python Plugin for the InfluxDB 3 Processing Engine
4 March 2025

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