shouldiuse.io

Comparison

NATS.io vs Redis

NATS.io and Redis both land on Depends.

Redis

Depends
Confidence: Medium

Redis is the proven category leader for in-memory caching and real-time data . fast, widely deployed, and highly rated . but the 2024-2025 license saga, recurring critical CVEs, and costs that spike at scale make it workload- and risk-dependent.

NATS.io versus Redis
CompareNATS.ioRedis
VerdictDependsDepends
Best forMicroservices messagingLow-latency caching and session storage for high-traffic apps (users report 'absolutely awesome' caching performance on massive analytics workloads)
Who it's not forSmall apps needing one queue . Redis or your database covers itCost-sensitive teams expecting flat costs as data grows . Redis Cloud users name cost 'the biggest downside as you scale,' and cheaper per-GiB managed options (Google Memorystore, Upstash) and Dragonfly (claims up to 80% savings, same API) exist
PrivacyActive advisory process and a Cure53 audit, but multiple recent high-severity CVEs demand prompt patching.Active and serious CVE history in 2025-2026, headlined by the critical RediShell RCE (CVE-2025-49844), a use-after-free bug affecting all versions released over 13 years (~60,000 exposed servers; no confirmed in-the-wild exploitation at disclosure).
Public sentimentDevelopers praise NATS's speed and simplicity, while noting quirks and some gaps versus Kafka.Ratings are strong: roughly 4.5/5 across ~170-180 G2 reviews and 4.7/5 (212 ratings) on Gartner Peer Insights.16
Biggest gotchaGovernance risk: backer once tried to relicense away from open source; stayed after backlash.Pricing trap: costs balloon as you scale . G2 users explicitly call cost 'the biggest downside of Redis Cloud as you scale'; benchmark against per-GiB providers and Dragonfly's claimed 80% savings before committing14

Pick NATS.io when

  • Microservices messaging
  • Edge and IoT deployments
  • Cloud-native distributed systems
  • Go-heavy backend teams

When NATS.io is not a fit

  • Small apps needing one queue . Redis or your database covers it
  • Teams with no ops capacity . this is self-run infrastructure, not a SaaS
  • Workloads depending on broker-managed consumer rebalancing out of the box
  • Guess: monolith shops without a distributed-systems problem yet

Pick Redis when

  • Low-latency caching and session storage for high-traffic apps (users report 'absolutely awesome' caching performance on massive analytics workloads)
  • Teams wanting a fully managed, multi-cloud service (Redis Cloud integrates with Google Cloud and Azure)
  • Organizations that value a mature product with strong peer ratings (4.5/5 on G2, 4.7/5 on Gartner Peer Insights)
  • Performance-critical in-memory workloads where 'always-on' operation with minimal launch overhead matters

When Redis is not a fit

  • Cost-sensitive teams expecting flat costs as data grows . Redis Cloud users name cost 'the biggest downside as you scale,' and cheaper per-GiB managed options (Google Memorystore, Upstash) and Dragonfly (claims up to 80% savings, same API) exist
  • Organizations requiring unambiguous OSI open-source licensing . Redis dropped its open-source license in 2024, triggering the Valkey fork, and only re-opened in 2025; compliance teams should not assume stability
  • Anyone planning to use it as a primary durable relational database . practitioners warn it 'is wonderful' for certain use cases but is frequently misused, with published guides on the ways to shoot yourself in the foot with it
  • Teams without the ops discipline to harden and patch . defaults assume trusted networks, and critical CVEs like RediShell required prompt upgrades across 13 years of affected releases

Sources

  1. official
  2. official
  3. NATS Advisoriesadvisories.nats.io
    security
  4. security
  5. security
  6. review
  7. review
  8. news
  9. official
  10. official
  11. official
  12. review
  13. review
  14. review
  15. review
  16. review