mlr3proba
mlr3proba is shedding weight as its survival work moves into sibling packages
Comparison · Analytics
Delta Lake vs stacks
A side-by-side editorial comparison of Delta Lake and stacks — release velocity, themes, recent moves, and the top alternatives to consider.
Delta Lake vs stacks: at a glance
What is Delta Lake?
Delta Lake's public releases are patch work while Databricks kernel builds fill the feed.
Two kinds of entry dominate: numbered patch releases on the 3.3 and 4.3 lines, and near-daily Databricks kernel build tags that carry a single commit message each. The patch releases are targeted correctness work — a metadata cleanup that could delete transaction log files still needed to reconstruct versions inside the retention window, a Delta Sharing cache refresh that dropped deletion-vector URL mappings, an OAuth key-casing bug in the REST Catalog, and S3A fast-listing through FilterFileSystem wrappers. The 3.3.3 release also declines to publish delta-iceberg, leaving UniForm users on the prior patch.
What is stacks?
Model stacking in tidymodels, quietly migrating off foreach and onto future
stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.
Delta Lake vs stacks: editorial side-by-side
Delta Lake
5.0ANALYTICS
Delta Lake's public releases are patch work while Databricks kernel builds fill the feed.
◆ Current state
Two kinds of entry dominate: numbered patch releases on the 3.3 and 4.3 lines, and near-daily Databricks kernel build tags that carry a single commit message each. The patch releases are targeted correctness work — a metadata cleanup that could delete transaction log files still needed to reconstruct versions inside the retention window, a Delta Sharing cache refresh that dropped deletion-vector URL mappings, an OAuth key-casing bug in the REST Catalog, and S3A fast-listing through FilterFileSystem wrappers. The 3.3.3 release also declines to publish delta-iceberg, leaving UniForm users on the prior patch.
◆ Where it's heading
The project is stabilising two supported lines in parallel rather than moving the format forward in these entries, and the recurring theme is metadata and log durability — the parts of Delta that silently break time travel and CDF when they are wrong. Kernel work continues in the build tags, most visibly treating _last_checkpoint as opaque JSON. The unpublished UniForm artifact is the one open thread with a stated follow-up plan.
◆ Prediction
A follow-up patch that restores the delta-iceberg artifact for the 3.3 line is the clearest next step; otherwise expect the kernel build cadence to continue between numbered releases.
stacks
0.0ANALYTICS
Model stacking in tidymodels, quietly migrating off foreach and onto future
◆ Current state
stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.
◆ Where it's heading
The package is mature and its remaining work is compatibility rather than capability — tracking the parallelism story across tidymodels, keeping object sizes sane after butchering and reloading, and staying aligned with recipes deprecations. The augment() method added for vetiver compatibility shows the same instinct: fit into the surrounding ecosystem rather than grow independently of it. Nothing in the visible history suggests new ensembling methods are being pursued.
◆ Prediction
With the future migration finished, the next release is most likely maintenance keeping pace with tune and recipes rather than anything users would notice.
Alternatives to Delta Lake and stacks
Other Analytics 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 Delta Lake or stacks.
mlr3viz
mlr3viz keeps the ecosystem's plots working while the plots themselves move out
mlr3tuning
mlr3tuning is rebuilding its async machinery under a stable public surface
timetk
timetk swallowed anomalize whole, then went quiet for two years
modelbased
modelbased is turning marginal effects into a full contrast grammar
parameters
easystats' parameters package absorbs one more model class every few weeks
See all Delta Lake alternatives → · See all stacks alternatives →
Recent activity from Delta Lake and stacks
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 21h agoDelta LakeLog-retention and Delta Sharing cache fixes; UniForm jar not published
- 13d agoDelta LakeDatabricks kernel build tag (2026-07-30)
- 1mo agoDelta LakeKernel build tag: _last_checkpoint captured as opaque JSON
- 1mo agoDelta LakeDelta Lake 4.3.1
- 1mo agoDelta LakeDatabricks kernel build tag (2026-07-07)
- 1mo agoDelta LakeDatabricks kernel build tag, DBI variant (2026-07-06)
- 1y agostacksstacks 1.1.1 re-released to clear a CRAN check note
- 1y agostacksstacks 1.1.0 completes the move to future-based parallelism
- 2y agostacksstacks 1.0.5 fixes butchered stack size inflation
- 2y agostacksstacks 1.0.4 introduces future-based parallel processing
- 2y agostacksstacks 1.0.3 clears recipes deprecations and a type-check bug
- 3y agostacksstacks 1.0.2 adds an augment() method for vetiver compatibility
Frequently asked questions
What is the difference between Delta Lake and stacks?
They serve adjacent needs but don't currently overlap on shipped themes. Delta Lake is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Delta Lake better than stacks?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Delta Lake is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Delta Lake?
Top Delta Lake alternatives in Analytics are ranked by recent ship velocity. Browse the "Delta Lake alternatives" section above for the current picks, or visit /alternatives/delta-lake for the full list with editorial commentary on each.
What are the best alternatives to stacks?
Top stacks alternatives in Analytics are ranked by recent ship velocity. Browse the "stacks alternatives" section above for the current picks, or visit /alternatives/stacks for the full list with editorial commentary on each.