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Skipper adds RFC 9421 message signing and cuts RouteGroup parse time by 21%
A side-by-side editorial comparison of Ably and Dragonfly — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Ably | Dragonfly |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 7.5 | 6.3 |
| Sparks · 30d | 2 | 1 |
| Top themes | liveobjects, ai-transport-sdk, realtime-state-sync, durable-agents | redis-compatible, in-memory-database, memory-management, performance |
| Last editorial update | 7h ago | 9d ago |
| Website | — | Visit → |
Ably ships LiveObjects as production-ready and expands its AI Transport SDK to cover Temporal durable workflows.
Ably is shipping simultaneously across infrastructure SDKs and AI-specific capabilities. LiveObjects — a real-time state sync layer for nested maps and counters — graduated from experimental to production-stable in the Java and Cocoa SDKs this month, with path-based access and resilient subscriptions that survive underlying object replacement. The AI Transport SDK gained Temporal durable-workflow support and OpenAI Responses API streaming. On the infrastructure side, the .NET SDK reduces reconnect latency from 120s to ~25s and the Terraform provider got a major maturity pass with moderation rules and a config importer.
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.
Ably is shipping simultaneously across infrastructure SDKs and AI-specific capabilities. LiveObjects — a real-time state sync layer for nested maps and counters — graduated from experimental to production-stable in the Java and Cocoa SDKs this month, with path-based access and resilient subscriptions that survive underlying object replacement. The AI Transport SDK gained Temporal durable-workflow support and OpenAI Responses API streaming. On the infrastructure side, the .NET SDK reduces reconnect latency from 120s to ~25s and the Terraform provider got a major maturity pass with moderation rules and a config importer.
The direction is Ably as AI agent infrastructure. LiveObjects' own documentation positions it explicitly for 'AI agents, live configurations, and collaborative experiences.' The AI Transport SDK is a purpose-built layer for agentic workflows — durable sessions, multi-turn conversations, tool execution — layered on Ably's realtime primitives. This is a deliberate expansion from realtime messaging platform into the transport layer that agents run on.
The AI Transport SDK will add more model provider codecs — the OpenAI Responses integration suggests Anthropic or Gemini support is next. LiveObjects needs to reach stable across remaining SDKs (Python, .NET) before the feature can be adopted uniformly.
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.
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.
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.
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 Ably or Dragonfly.
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See all Ably alternatives → · See all Dragonfly alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Ably is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ably is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 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.
Top Ably alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Ably alternatives" section above for the current picks, or visit /alternatives/ably for the full list with editorial commentary on each.
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.