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Answer-first summary52/100 GEO

Redis

In-memory data structure store.

InfrastructureFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Redis?
In-memory data structure store.
What does Redis do?
Open-source in-memory data store used as database, cache, message broker, and streaming engine.
Who is Redis for?
Backend engineering and platform teams building low-latency applications, caches, and real-time data services.
Is Redis verified?
Redis is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
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Redis

Invited

In-memory data structure store.

InfrastructureCH-VER-694956Listed September 11, 2026
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AI-Extractable Summary
What:In-memory data structure store.
For whom:Backend engineering and platform teams building low-latency applications, caches, and real-time data services
Key outcome:Reduce application response times to sub-millisecond latency while handling very high request throughput
Category:Infrastructure

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
55
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Reduce application response times to sub-millisecond latency while handling very high request throughput.

About

Open-source in-memory data store used as database, cache, message broker, and streaming engine.

Target Audience: Backend engineering and platform teams building low-latency applications, caches, and real-time data services.
Not ideal for: Teams that need a primary system of record for long-term relational storage, complex SQL querying, or analytics-first workloads.

What makes it different

  • In-memory architecture delivers extremely fast read and write performance for latency-sensitive workloads.
  • Rich native data structures go beyond simple key-value storage, including hashes, lists, sets, sorted sets, streams, and more.
  • Built-in replication, clustering, and high availability features support scale-out deployments and fault tolerance.
  • Broad ecosystem adoption and client library support make it easy to integrate across many languages and platforms.

Tags & Classification

cachingsession-managementrate-limitingmessage-queuesleaderboards
backend-engineersplatform-engineersdevops-teamssoftware-architects
e-commercefintechgamingmedia
Platform: PlatformModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_redis,
  title = {Redis},
  url = {https://citablehub.com/p/redis},
  note = {Listed September 11, 2026. CitableHub ID: CH-VER-694956},
  year = {2026}
}
APA
Redis. (2026). CitableHub Software Index. https://citablehub.com/p/redis.
MLA
"Redis." CitableHub, 2026, https://citablehub.com/p/redis.