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dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
A side-by-side editorial comparison of fmtr and Usermaven — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | fmtr | Usermaven |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 8.8 |
| Sparks · 30d | 0 | 3 |
| Top themes | sas-parity, data-formatting, clinical-reporting, format-catalogues | product-analytics, reverse-etl, mcp, crm-integration |
| Last editorial update | 3d ago | 1d ago |
| Website | Visit → | — |
Rebuilding SAS's formatting layer in R, one format specification at a time
fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
Three consecutive releases have each opened a different edge of the product. Event Sources brought conversion events in from payments, CRMs and spreadsheets without code; the MCP server let any AI client query the workspace; the newest adds a read-only Salesforce connection, Reverse ETL pushing Usermaven audiences into operational tools, external MCP connectors feeding Maven AI outside context, and configurable engagement scoring. Underneath, the analysis surfaces were consolidated earlier in the summer into Analytics Hub and a command bar.
fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.
The direction is parity, pursued in small increments. Quarter format codes were added because base R has none; the SAS best. format was reimplemented, then hardened against the variations people actually write; statistical summary helpers like fmt_mean_sd() and fmt_mean_stderr() cover the cell contents clinical tables need. The structural work is largely behind it, including the breaking 2022 move that handed labelling to a sibling package, so what remains is vocabulary coverage.
The pattern of adding a SAS format, then a release to handle its variants, suggests the next releases continue filling in format codes and summary helpers rather than changing how formats are applied.
Three consecutive releases have each opened a different edge of the product. Event Sources brought conversion events in from payments, CRMs and spreadsheets without code; the MCP server let any AI client query the workspace; the newest adds a read-only Salesforce connection, Reverse ETL pushing Usermaven audiences into operational tools, external MCP connectors feeding Maven AI outside context, and configurable engagement scoring. Underneath, the analysis surfaces were consolidated earlier in the summer into Analytics Hub and a command bar.
The shape is a product deliberately becoming a hub rather than a destination. Ingest, query and activation have each been generalized in turn, and the common design choice is to hand the boundary to a standard or a connector rather than build integrations one at a time. What is left proprietary is the middle — identity resolution, attribution, engagement scoring — which is where the release notes keep adding configurability. The Salesforce connection being read-only in its first cut fits the pattern: land the schema mapping, then open the write path.
Salesforce write-back is the obvious next step, since Reverse ETL already exists as the mechanism and the entry marks read-only as a first release. Expect more CRM connectors on the same template — read-only, per-org field mapping, sandbox first.
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 fmtr or Usermaven.
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Holistics keeps fencing in the AI layer it spent the summer building.
Dovetail spent July opening doors to other tools and August making its own rooms easier to enter.
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
AgencyAI got skills three weeks ago; everything since has been making them routine.
See all fmtr alternatives → · See all Usermaven alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Usermaven is currently shipping more aggressively (velocity 8.8 vs 0.0), with 3 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Usermaven is currently shipping more aggressively (velocity 8.8 vs 0.0), with 3 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.
Top fmtr alternatives in Analytics are ranked by recent ship velocity. Browse the "fmtr alternatives" section above for the current picks, or visit /alternatives/fmtr for the full list with editorial commentary on each.
Top Usermaven alternatives in Analytics are ranked by recent ship velocity. Browse the "Usermaven alternatives" section above for the current picks, or visit /alternatives/usermaven for the full list with editorial commentary on each.