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Comparison · Infra & APIs

Dragonfly vs Skipper

A side-by-side editorial comparison of Dragonfly and Skipper — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:performancecaching

Dragonfly vs Skipper: at a glance

FeatureDragonflySkipper
SectorInfra & APIsInfra & APIs
Velocity score6.37.5
Sparks · 30d11
Top themesredis-compatible, in-memory-database, memory-management, performanceapi-gateway, caching, redis, patch-cadence
Last editorial update6d ago5h ago
WebsiteVisit →Visit →

What is Dragonfly?

Dragonfly tags v2.0.0 while hardening memory accounting and patching a HyperLogLog CVE across the 1.x line

Dragonfly is shipping across two concurrent tracks: the 1.40.x stable line is receiving steady improvements to connection memory accounting correctness, tiering metrics, and Redis ecosystem compatibility (RedisShake RDB format), while v2.0.0 has been tagged. The 2.0.0 entry's visible content is minimal — scope-based memory tracking is added but disabled — suggesting 2.0.0 is an architectural milestone marker for accumulated work rather than a single user-visible feature introduction.

Read the full Dragonfly trajectory →

What is Skipper?

Skipper adds Redis as a distributed L2 cache backend amid a high-frequency patch cadence.

Skipper is running in a maintenance-heavy patch cycle, shipping multiple versions per week focused on stability, test infrastructure, and minor performance work. The architectural addition this period is v0.27.92's Redis L2 storage for the cache() filter, which extends caching from node-local to cluster-shared. v0.27.95's parsed filter and predicate caching across RouteGroups is a performance improvement but stays within the current architecture.

Read the full Skipper trajectory →

Dragonfly vs Skipper: editorial side-by-side

D
Dragonfly
INFRA · APIS
6.3

Dragonfly tags v2.0.0 while hardening memory accounting and patching a HyperLogLog CVE across the 1.x line

◆ Current state

Dragonfly is shipping across two concurrent tracks: the 1.40.x stable line is receiving steady improvements to connection memory accounting correctness, tiering metrics, and Redis ecosystem compatibility (RedisShake RDB format), while v2.0.0 has been tagged. The 2.0.0 entry's visible content is minimal — scope-based memory tracking is added but disabled — suggesting 2.0.0 is an architectural milestone marker for accumulated work rather than a single user-visible feature introduction.

◆ Where it's heading

The project's operational focus is sharpening around production reliability and Redis compatibility: O(1) connection memory tracking, per-shard tiering metrics, CVE-2025-32023 remediation in HyperLogLog, and AVX2/NEON SIMD acceleration for dense HLL operations (8-29x measured gains). The staged 2.0.0 release and the disabled scope-based memory tracking point to Dragonfly building toward granular per-connection memory visibility as a differentiating feature for operators running large clusters.

◆ Prediction

Scope-based memory tracking will be re-enabled in a near-term 2.x patch — the code is already shipped in 2.0.0, just gated off. That re-enable will be the actual headline for what 2.0.0 unlocks operationally.

S
Skipper
INFRA · APIS
7.5

Skipper adds Redis as a distributed L2 cache backend amid a high-frequency patch cadence.

◆ Current state

Skipper is running in a maintenance-heavy patch cycle, shipping multiple versions per week focused on stability, test infrastructure, and minor performance work. The architectural addition this period is v0.27.92's Redis L2 storage for the cache() filter, which extends caching from node-local to cluster-shared. v0.27.95's parsed filter and predicate caching across RouteGroups is a performance improvement but stays within the current architecture.

◆ Where it's heading

The Redis L2 integration suggests the Skipper team is addressing the multi-replica cache coherence problem that large deployments encounter. If this pattern continues, distributed-state options—persistent rate limiting, distributed circuit breakers using the same Redis client abstraction—are the natural follow-ons. The high patch cadence signals active production deployment rather than feature-driven development.

◆ Prediction

The Redis client abstraction introduced in v0.27.92 will be extended to other stateful filters, particularly rate limiting, given that distributed rate limiting is the most common request for API gateways running at multi-replica scale.

Alternatives to Dragonfly and Skipper

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Dragonfly or Skipper.

See all Dragonfly alternatives → · See all Skipper alternatives →

Recent activity from Dragonfly and Skipper

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 17h agoSkipperv0.27.95: Cache parsed filters and predicates across RouteGroups
  2. 21h agoSkipperv0.27.94: Documentation fixes and multiarch Docker image
  3. 22h agoSkipperv0.27.93: Fix config test for Let's Encrypt defaults
  4. 6d agoSkipperv0.27.92: Redis L2 storage for the cache() filter
  5. 7d agoDragonflyDragonfly v2.0.0: major version milestone with scope-based memory tracking staged
  6. 8d agoSkipperv0.27.91: Dependency updates
  7. 8d agoSkipperv0.27.90: Use testcontainers for etcd in tests
  8. 9d agoDragonflyi1.40.8: fix(server): make connection memory accounting constant time (#8245)
  9. 12d agoDragonflyFix RDB listpack compatibility with RedisShake migrations
  10. 1mo agoDragonflyTiering: unified pending-bytes limit and metrics export
  11. 1mo agoDragonflyi1.40.2: backport: mem accounting fix, journal flushslots in tx (#8061)
  12. 1mo agoDragonflyHyperLogLog: CVE-2025-32023 patch, SIMD acceleration (8-29x), and three correctness fixes

Frequently asked questions

What is the difference between Dragonfly and Skipper?

Both compete on the same themes — performance, caching — within Infra & APIs. Skipper is currently shipping more aggressively (velocity 7.5 vs 6.3), with 1 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Dragonfly better than Skipper?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Skipper is currently shipping more aggressively (velocity 7.5 vs 6.3), with 1 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to Dragonfly?

Top Dragonfly alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dragonfly alternatives" section above for the current picks, or visit /alternatives/dragonfly for the full list with editorial commentary on each.

What are the best alternatives to Skipper?

Top Skipper alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Skipper alternatives" section above for the current picks, or visit /alternatives/skipper for the full list with editorial commentary on each.