DBMS > InfluxDB vs. LevelDB vs. PostgreSQL

System Properties Comparison InfluxDB vs. LevelDB vs. PostgreSQL

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Editorial information provided by DB-Engines

Name

Description

DBMS for storing time series, events and metrics

Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values

Widely used open source RDBMS

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

Primary database model

Time Series DBMS

Key-value store

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

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	21.77
Rank	#28	Overall
	#1	Time Series DBMS

Score	2.12
Rank	#112	Overall
	#18	Key-value stores

Score	659.62
Rank	#4	Overall
	#4	Relational DBMS

Website

www.influxdata.com/products/influxdb-overview

github.com/google/leveldb

www.postgresql.org

Technical documentation

docs.influxdata.com/influxdb

github.com/google/leveldb/blob/main/doc/index.md

www.postgresql.org/docs

Developer

Google

PostgreSQL Global Development Group

www.postgresql.org/developer

Initial release

2013

2011

1989

1989: Postgres, 1996: PostgreSQL

Current release

2.7.6, April 2024

1.23, February 2021

16.4, August 2024

License

Commercial or Open Source

Open Source

MIT-License; commercial enterprise version available

Open Source

BSD

Open Source

BSD

Cloud-based only

Only available as a cloud service

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Implementation language

C++

Server operating systems

Linux
OS X

through Homebrew

Illumos
Linux
OS X
Windows

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

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

SQL

Support of SQL

SQL-like query language

yes

standard with numerous extensions

APIs and other access methods

HTTP API
JSON over UDP

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

Supported programming languages

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

C++
Go
Java

3rd party binding
JavaScript (Node.js)

3rd party binding
Python

3rd party binding

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

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

Sharding

in enterprise version only

none

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

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

none

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

with automatic compression on writes

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

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
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Competitive advantages

Time to Value InfluxDB is available in all the popular languages and frameworks,...
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Typical application scenarios

IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customers

InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more

Market metrics

Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
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News

CLI Operations for InfluxDB 3 Core and Enterprise
4 February 2025

Get Started with the TIG Stack and InfluxDB Core
24 January 2025

How Does InfluxDB 3 Query Data in Real-Time?
22 January 2025

Using the Python Client Library with InfluxDB v3 Core
15 January 2025

Turning Metrics into Insights: How to Build a Modern, Intelligent DevOps Monitoring Pipeline
9 January 2025

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