DBMS > InfluxDB vs. Oracle vs. PouchDB

System Properties Comparison InfluxDB vs. Oracle vs. PouchDB

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Editorial information provided by DB-Engines

Name

Description

DBMS for storing time series, events and metrics

Widely used RDBMS

JavaScript DBMS with an API inspired by CouchDB

Primary database model

Time Series DBMS

Relational DBMS

Document store

Secondary database models

Spatial DBMS

with GEO package

Document store
Graph DBMS

with Oracle Spatial and Graph
RDF store

with Oracle Spatial and Graph
Spatial DBMS

with Oracle Spatial and Graph
Vector DBMS

since Oracle 23

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

Score	21.78
Rank	#28	Overall
	#1	Time Series DBMS

Score	1226.57
Rank	#1	Overall
	#1	Relational DBMS

Score	2.00
Rank	#113	Overall
	#21	Document stores

Website

www.influxdata.com/products/influxdb-overview

www.oracle.com/database

pouchdb.com

Technical documentation

docs.influxdata.com/influxdb

docs.oracle.com/en/database

pouchdb.com/guides

Developer

Oracle

Apache Software Foundation

Initial release

2013

1980

2012

Current release

2.7.6, April 2024

23c, September 2023

7.1.1, June 2019

License

Commercial or Open Source

Open Source

MIT-License; commercial enterprise version available

commercial

restricted free version is available

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

JavaScript

Server operating systems

Linux
OS X

through Homebrew

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

schema-free

yes

Schemaless in JSON and XML columns

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

Secondary indexes

yes

via views

SQL

Support of SQL

SQL-like query language

yes

with proprietary extensions

APIs and other access methods

HTTP API
JSON over UDP

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

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

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

JavaScript

Server-side scripts

Stored procedures

PL/SQL

also stored procedures in Java possible

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

Sharding, horizontal partitioning

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

Multi-source replication
Source-replica replication

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

can be realized in PL/SQL

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

isolation level can be parameterized

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

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

yes

Version 12c introduced the new option 'Oracle Database In-Memory'

yes

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

Hack to the Future: InfluxDB 3 Hackathon
5 May 2025

Building Smarter Manufacturing Systems with Bosch Rexroth and InfluxDB
23 April 2025

Build a Time Series Forecasting Pipeline in InfluxDB 3 Without Writing Code
17 April 2025

InfluxDB 3 Core & Enterprise GA: The Next Generation Time Series Platform for Developers is Here
15 April 2025

Deadman Alerts with the Python Processing Engine
9 April 2025

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More resources

DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

InfluxData rolls out InfluxDB 3 to power real-time apps at scale
15 April 2025, Blocks and Files

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data
15 April 2025, Business Wire

Simplify Industrial IoT: Use InfluxDB edge replication for centralized time series analytics with Amazon Timestream
3 September 2024, Amazon Web Services (AWS)

InfluxData Releases InfluxDB 3 Core and InfluxDB 3 Enterprise
16 April 2025, Database Trends and Applications

InfluxDB 3 Core Released In Public Alpha
3 February 2025, i-programmer.info

provided by Google News

How Oracle AI Vector Search Stacks Up Against Chroma for Similarity Search
6 May 2025, Oracle

Oracle looks to open up data access in the era of AI
10 May 2025, SiliconANGLE

Sphere Powers its AI Platform with Oracle Database 23ai
1 May 2025, Oracle

Oracle and Google Cloud Announce Industry-First Partner Program and Powerful New Capabilities for Oracle Database@Google Cloud
9 April 2025, Oracle

Oracle and Microsoft Add Powerful, Flexible New Services to Oracle Database@Azure and Expand Regional Availability
20 March 2025, Oracle

provided by Google News

Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB
7 March 2017, SitePoint

Apache CouchDB: The Definitive Introduction
28 August 2014, infoq.com

3 Reasons To Think Offline First
22 March 2017, IBM

Table 1 Approximate time-requirements for critical data-flow processes
31 October 2018, ResearchGate

provided by Google News

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