DBMS > InfluxDB vs. OpenQM vs. Redis

System Properties Comparison InfluxDB vs. OpenQM vs. Redis

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Editorial information provided by DB-Engines

Name

Description

DBMS for storing time series, events and metrics

QpenQM is a high-performance, self-tuning, multi-value DBMS

In-memory data structure store, used as database, cache and message broker

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Time Series DBMS

Multivalue DBMS

Key-value store

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store

with Redis Modules
Graph DBMS

with Redis Modules
Search engine

with Redis Modules
Time Series DBMS

with Redis Modules

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

Score	26.87
Rank	#27	Overall
	#1	Time Series DBMS

Score	0.40
Rank	#245	Overall
	#10	Multivalue DBMS

Score	154.15
Rank	#7	Overall
	#1	Key-value stores

Website

www.influxdata.com/products/influxdb-overview

www.openqm.com

redis.io

Technical documentation

docs.influxdata.com/influxdb

www.openqm.com/support/documentation

redis.io/documentation

Developer

Martin Phillips

Salvatore Sanfilippo

Development sponsored by Redis Labs

Initial release

2013

1993

2009

Current release

2.0.2, November 2020

3.4-12

6.2.0 , February 2021

License

Commercial or Open Source

Open Source

MIT-License; commercial enterprise version available

Open Source

GPLv2, extended commercial license available

Open Source

BSD 3-Clause, commercial license available

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.

Redis Enterprise Cloud: Instantly scale and pay only for the resources you need - on any cloud - AWS, Azure or Google Cloud.
ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

Server operating systems

Linux
OS X

through Homebrew

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

BSD
Linux
OS X
Windows

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free

yes

with some exceptions

schema-free

Typing

predefined data types such as float or date

Numeric data and Strings

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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

with RediSearch module

SQL

Support of SQL

SQL-like query language

APIs and other access methods

HTTP API
JSON over UDP

proprietary protocol

RESP - REdis Serialization Protocol

Supported programming languages

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

.Net
Basic
C
Java
Objective C
PHP
Python

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts

Stored procedures

yes

Lua

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

in enterprise version only

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

in enterprise version only

yes

Multi-source replication

with Redis Enterprise Pack
Source-replica replication

Chained replication is supported

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

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

User concepts

Access control

simple rights management via user accounts

Access rights can be defined down to the item level

Simple password-based access control

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

InfluxData is the creator of InfluxDB , the open source time series database. It...
» more

Redis, benchmarked as the world's fastest database, reduces application complexity,...
» more

Competitive advantages

Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
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Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenarios

IoT & Sensor Monitoring Instrumentation of every available surface in the material...
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Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
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Key customers

InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
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Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more

Market metrics

Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
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Licensing and pricing models

Open source core with closed source clustering available either on-premise or on...
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The licensing model is subscription based. Redis Enterprise Cloud is priced according...
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News

InfluxDB Latest Tag Updated in Docker Hub
26 February 2021

The Future of InfluxDB OSS: More Open, Permissive with Complementary Closed Source
26 February 2021

Monitoring DigitalOcean Billing with InfluxDB
24 February 2021

InfluxDB C Client Library for Capturing Statistics
23 February 2021

A Partnership Between InfluxData and Ockam Brings Trust to Time Series Data
22 February 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.