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

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

Key Differences

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

Feature

Apache Beam

Data Processing

Redis

Database

Side-by-side comparison of developer tools
Unified programming model for batch and streaming
In-memory data structure store
GitHub Stars
⭐ 8,575
⭐ 74,123
Contributors
👥 1,891
👥 909
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C
Features
  • • Batch
  • • Beam
  • • Big Data
  • • Golang
  • • Java
  • • Cache
  • • Caching
  • • Database
  • • Distributed Systems
  • • In Memory
Integrations
No integrations listed
  • • redis
Momentum Score
79/100 (stable)
89/100 (stable)
Community Health
73/100 (good)
81/100 (good)
Maturity Index
63/100 (growing)
82/100 (established)
Innovation Score
59/100 (progressive)
91/100 (pioneering)
Risk Score (higher is safer)
82/100 (minimal)
68/100 (low)
Developer Experience
54/100 (needs-improvement)
68/100 (fair)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Beam Strengths

  • ✓ Larger community (1,891 contributors)

Redis Strengths

  • ✓ More popular (74,123 stars)

When to Use Apache Beam vs Redis

Use Apache Beam 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.

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

More Comparisons

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Data source: GitHub API

Last updated: 5/4/2026