Apache Flink vs Redis: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Apache Flink and Redis across features, pricing, integrations, and community metrics. Apache Flink / Redis.

Feature

Apache Flink

Data Processing

Redis

Database

Side-by-side comparison of developer tools
Stream processing framework
In-memory data structure store
GitHub Stars
⭐ 25,980
⭐ 74,123
Contributors
👥 2,096
👥 909
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C
Features
  • • Big Data
  • • Flink
  • • Java
  • • Python
  • • Scala
  • • Cache
  • • Caching
  • • Database
  • • Distributed Systems
  • • In Memory
Integrations
No integrations listed
  • • redis
Momentum Score
79/100 (stable)
89/100 (stable)
Community Health
68/100 (moderate)
81/100 (good)
Maturity Index
82/100 (established)
82/100 (established)
Innovation Score
76/100 (innovative)
91/100 (pioneering)
Risk Score (higher is safer)
87/100 (minimal)
68/100 (low)
Developer Experience
68/100 (fair)
68/100 (fair)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Flink Strengths

  • ✓ Larger community (2,096 contributors)

Redis Strengths

  • ✓ More popular (74,123 stars)

When to Use Apache Flink vs Redis

Use Apache Flink when its strengths align better with your stack and team needs, and choose Redis when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

Apache Flink vs Apache Spark → Redis vs Elasticsearch → Apache Flink vs Apache Beam → Redis vs ClickHouse → Apache Flink vs Elasticsearch → Redis vs TiDB → Apache Flink vs Grafana → Redis vs CockroachDB → Apache Flink vs Prometheus → Redis vs InfluxDB → Apache Flink vs ClickHouse → Redis vs MongoDB →

More Comparisons

View Apache Flink → View Redis → Search More Tools →

Data source: GitHub API

Last updated: 5/4/2026