Delta Lake
A 4.4.0 tag appears, but the feed carries only its release plumbing
Comparison · Analytics
Dovetail vs fastglm
A side-by-side editorial comparison of Dovetail and fastglm — release velocity, themes, recent moves, and the top alternatives to consider.
Dovetail vs fastglm: at a glance
What is Dovetail?
Dovetail spent July opening doors to other tools and August making its own rooms easier to enter.
August has been a run of small surface work aimed at the same problem: getting into and around the workspace. Cover images with rich previews and dedicated icons make content browsable, digital twins gained a direct chat link and their own creation option instead of requiring a generic agent first, chat context now survives the jump to fullscreen, and the chat footer was thinned out. July's work pointed outward instead — one-click actions that send a Doc, data point, or Channels idea to the tool where it will be acted on, and a Snowflake integration bringing warehouse data into Channels.
What is fastglm?
A fast GLM solver stops being one function and becomes a count-model family
fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.
Dovetail vs fastglm: editorial side-by-side
Dovetail
5.0ANALYTICS
Dovetail spent July opening doors to other tools and August making its own rooms easier to enter.
◆ Current state
August has been a run of small surface work aimed at the same problem: getting into and around the workspace. Cover images with rich previews and dedicated icons make content browsable, digital twins gained a direct chat link and their own creation option instead of requiring a generic agent first, chat context now survives the jump to fullscreen, and the chat footer was thinned out. July's work pointed outward instead — one-click actions that send a Doc, data point, or Channels idea to the tool where it will be acted on, and a Snowflake integration bringing warehouse data into Channels.
◆ Where it's heading
The digital twin is quietly becoming the product's front door. Three separate releases this month reduced the friction of creating one, sharing one, and holding a conversation with one, which is more attention than any other surface received. Around it the interface is being simplified rather than extended — fewer controls in the footer, previews instead of lists, context that persists across views. Nothing in this window adds a capability; the whole month is about making existing ones reachable.
◆ Prediction
Expect the sharing path to keep widening — permissions, guest access, or an embed for a twin link — since a link that opens straight into chat only pays off if it can safely leave the workspace.
fastglm
0.0ANALYTICS
A fast GLM solver stops being one function and becomes a count-model family
◆ Current state
fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.
◆ Where it's heading
The package changed what it is. Through 0.0.3 it was a drop-in replacement for glm() competing on speed; from 0.1.0 it targets the models people leave base R for — MASS::glm.nb, pscl::hurdle, pscl::zeroinfl — and reimplements their full estimation loops natively. The 0.1.1 follow-up is consolidation on that new surface: Firth generalised past binomial logit, SQUAREM acceleration on the zero-inflation EM driver, and a run of clamping guards and initialization fixes on the families most prone to overflow.
◆ Prediction
The numerical-stability work in 0.1.1 clusters on Tweedie and the inverse and sqrt link families, which suggests those paths are the newest and least exercised — expect further correctness fixes there before new model types.
Alternatives to Dovetail and fastglm
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 Dovetail or fastglm.
distributions3
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
Basedash
Basedash keeps pushing its data out of the workspace — now to people without accounts
RStudio
RStudio ships through release branches, and the notes are commit messages
dbt Core
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
Fulcrum
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
See all Dovetail alternatives → · See all fastglm alternatives →
Recent activity from Dovetail and fastglm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDovetailNew cover images for easier browsing
- 7d agoDovetailShare a direct link to chat with your digital twin
- 13d agoDovetailA simpler chat footer
- 14d agoDovetailYour chat context now follows you into fullscreen
- 14d agoDovetailOne click actions
- 17d agoDovetailMore ways to create Digital Twins
- 2mo agofastglmFirth generalised to all families, plus SQUAREM and stability fixes
- 3mo agofastglmCRAN release 0.1.0 ⚡
- 4y agofastglmC++ headers exposed for linking
- 7y agofastglmFirst CRAN release of the C++ IRLS solver
Frequently asked questions
What is the difference between Dovetail and fastglm?
They serve adjacent needs but don't currently overlap on shipped themes. Dovetail 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 Dovetail better than fastglm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dovetail 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 Dovetail?
Top Dovetail alternatives in Analytics are ranked by recent ship velocity. Browse the "Dovetail alternatives" section above for the current picks, or visit /alternatives/dovetail for the full list with editorial commentary on each.
What are the best alternatives to fastglm?
Top fastglm alternatives in Analytics are ranked by recent ship velocity. Browse the "fastglm alternatives" section above for the current picks, or visit /alternatives/fastglm for the full list with editorial commentary on each.