Timely
Timely adds seat visibility and per-period budgets in a steady run of weekly releases.
A side-by-side editorial comparison of Dragonfly and nfs-ganesha — release velocity, themes, recent moves, and the top alternatives to consider.
Dragonfly speeds up slot lookups on 2.0 as its cluster-mode fixes keep coming.
Dragonfly maintains two incremental lines, 1.40 and 2.0, with small targeted releases. The 2.0 line has fixed dropped writes during slot migration and moved experimental slot-based sharding to Fibonacci hashing. i2.0.6 on October 30 makes GetSlotInfo faster, another cluster-mode refinement.
NFS-Ganesha's 15.x line turns to weekly fixes, input checks and dropping 9P.
NFS-Ganesha is a userspace NFS server used with Ceph, GPFS and clustered storage. Since 15.3 in early September it has shipped 15.4 through 15.9 roughly weekly. The releases harden XDR decoding against empty handles, owners and strings, fix a session use-after-free and an integer overflow in offset checks, add gRPC QoS APIs for per-client bandwidth and IOPS, and in 15.9 remove the unmaintained 9P protocol code.
Dragonfly maintains two incremental lines, 1.40 and 2.0, with small targeted releases. The 2.0 line has fixed dropped writes during slot migration and moved experimental slot-based sharding to Fibonacci hashing. i2.0.6 on October 30 makes GetSlotInfo faster, another cluster-mode refinement.
The 2.0 line is maturing through cluster and migration work, while 1.40 gets targeted performance backports. Release cadence has slowed from paired weekly builds to occasional single fixes.
Expect further 2.0.x builds focused on cluster mode and slot migration; whether scope-based memory tracking gets switched on is still unclear.
NFS-Ganesha is a userspace NFS server used with Ceph, GPFS and clustered storage. Since 15.3 in early September it has shipped 15.4 through 15.9 roughly weekly. The releases harden XDR decoding against empty handles, owners and strings, fix a session use-after-free and an integer overflow in offset checks, add gRPC QoS APIs for per-client bandwidth and IOPS, and in 15.9 remove the unmaintained 9P protocol code.
The fast feature run of 15.0 to 15.3 (gRPC management, dynamic config, monitoring) has given way to stabilisation: input validation, Ceph ACL and multi-client fixes, GPFS performance. gRPC continues to grow, with QoS management added in 15.5.
Expect more 15.x patch releases on the same cadence. The 9P removal shows a willingness to prune unused code, but the entries do not name other candidates.
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 nfs-ganesha.
Timely adds seat visibility and per-period budgets in a steady run of weekly releases.
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See all Dragonfly alternatives → · See all nfs-ganesha alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Dragonfly and nfs-ganesha are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). 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. Dragonfly and nfs-ganesha are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
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.
Top nfs-ganesha alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "nfs-ganesha alternatives" section above for the current picks, or visit /alternatives/nfs-ganesha for the full list with editorial commentary on each.