← Back to home
Comparison · Infra & APIs

sps vs Windmill

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

sps vs Windmill: at a glance

FeaturespsWindmill
SectorInfra & APIsInfra & APIs
Velocity score2.58.8
Sparks · 30d01
Top themesr-package, survey-sampling, sequential-poisson, performanceworkflow orchestration, dbt, open core, ai sessions
Last editorial update1h ago14h ago
WebsiteVisit →Visit →

What is sps?

sps keeps sanding down sequential Poisson sampling rather than adding to it.

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

Read the full sps trajectory →

What is Windmill?

Windmill gave away the warehouse connectors and now runs dbt natively — the trial is the strategy.

Two lines are moving at once. The platform line made dbt projects a first-class runtime, unified the deployment target on workspace lineage, opened Compare & Deploy to arbitrary target workspaces, and moved BigQuery and Snowflake out from behind the Enterprise license. The AI line took sessions to beta on by default and has been adding controls around them since — file attachments, visible web-search sources, artifact version history, and now a read-only plan mode that refuses anything that writes or deploys until you approve a plan.

Read the full Windmill trajectory →

sps vs Windmill: editorial side-by-side

S
sps
INFRA · APIS
2.5

sps keeps sanding down sequential Poisson sampling rather than adding to it.

◆ Current state

The package implements sequential Poisson sampling for survey design, covering inclusion probabilities, proportional allocation, replicate weights, and take-all strata. Recent releases are small and tightly scoped: a divisor method helper, an iterator that draws a sample one unit at a time, automatic selection of the replicate-weight parameter, and repeated performance work on inclusion probability calculation.

◆ Where it's heading

Development is consolidation rather than expansion. Most releases either speed up an existing routine or remove a decision the user previously had to make by hand, such as picking the smallest parameter that keeps replicate weights non-negative. Documentation and tooling get comparable attention to the algorithms, with a dedicated vignette on inclusion probabilities and a recent switch of test and documentation infrastructure. The API surface has been essentially stable across the window.

◆ Prediction

Expect continued small ergonomic and performance releases against the existing function set rather than new sampling designs, which is the pattern every release in this window follows.

W
Windmill
INFRA · APIS
8.8

Windmill gave away the warehouse connectors and now runs dbt natively — the trial is the strategy.

◆ Current state

Two lines are moving at once. The platform line made dbt projects a first-class runtime, unified the deployment target on workspace lineage, opened Compare & Deploy to arbitrary target workspaces, and moved BigQuery and Snowflake out from behind the Enterprise license. The AI line took sessions to beta on by default and has been adding controls around them since — file attachments, visible web-search sources, artifact version history, and now a read-only plan mode that refuses anything that writes or deploys until you approve a plan.

◆ Where it's heading

Windmill is positioning as the place a data team's existing work already runs rather than a system to be ported to: an unmodified dbt project drops in, its models become addressable assets with ref() lineage, and the warehouse languages needed to reach them are no longer paywalled. In parallel, the AI session work is maturing from capability to governance — the recent additions are all about reviewability and constraint, not raw autonomy. The deployment changes point the same way, collapsing configurable targets into a single derived answer.

◆ Prediction

Expect the plan-and-approve posture to spread beyond session chats into the durable AI surfaces, and more warehouse-adjacent runtimes to follow dbt into the first-class treatment; Oracle and MS SQL remain the obvious Enterprise holdouts to watch.

Alternatives to sps and Windmill

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 sps or Windmill.

See all sps alternatives → · See all Windmill alternatives →

Recent activity from sps and Windmill

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

  1. 4d agoWindmillPlan mode for AI sessions
  2. 7d agoWindmillNested filter groups and dotted paths in trigger filters
  3. 8d agoWindmillVersion history for AI session artifacts
  4. 17d agoWindmillRun dbt projects as a first-class Windmill runtime
  5. 19d agoWindmillOne deployment target, derived from the workspace lineage
  6. 19d agoWindmillCompare & Deploy into any workspace
  7. 1mo agospsDocumentation polish; switches to tinytest and litedown
  8. 9mo agospsFixes extra argument handling in sps_iterator()
  9. 11mo agospsAdds divisor_method() and a one-unit-at-a-time sampling iterator
  10. 1y agospsAdds an inclusion-probability vignette and faster partial sorting
  11. 1y agospsAutomatic tau selection for replicate weights
  12. 2y agospsAdds becomes_ta() for take-all stratum sample sizes

Frequently asked questions

What is the difference between sps and Windmill?

They serve adjacent needs but don't currently overlap on shipped themes. Windmill is currently shipping more aggressively (velocity 8.8 vs 2.5), with 1 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 sps better than Windmill?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Windmill is currently shipping more aggressively (velocity 8.8 vs 2.5), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to sps?

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

What are the best alternatives to Windmill?

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