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dbt Core vs mantis

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

dbt Core vs mantis: at a glance

Featuredbt Coremantis
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d00
Top themesanalytics-engineering, dbt-fusion, adapters, clickhousetime-series, reporting, ropensci, api-stability
Last editorial update3h ago5d ago
WebsiteVisit →Visit →

What is dbt Core?

dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs

Fusion 2.0 is in its second beta, and the content has shifted from engine capability to adapter coverage. beta.2 is almost entirely ClickHouse — Dictionary materialization, index definitions, additional settings, a relation-scoped catalog macro that fixes --write-catalog, and a seed nullability fix — plus Entra bearer-token authentication for the Fabric adapter. Behind it sits the August 14 backport wave, which cut releases for 1.1 through 1.8 in a single day to deliver one deprecated-version warning.

Read the full dbt Core trajectory →

What is mantis?

Thirteen months of rOpenSci review turned a pre-release into a 1.0 with a stable API

mantis builds interactive time-series reports — heatmaps, multipanel plots, alert tables — over routinely collected data, and its release history is essentially an rOpenSci peer-review log. The package went from a January 2025 pre-release that warned of breaking changes ahead, through submission and CRAN acceptance, to a 1.0.0 in October 2025 that locked the API. Since then it has shipped only two small fixes, the most recent chasing a dplyr 1.2.0 deprecation.

Read the full mantis trajectory →

dbt Core vs mantis: editorial side-by-side

D
dbt Core
ANALYTICS
6.3

dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs

◆ Current state

Fusion 2.0 is in its second beta, and the content has shifted from engine capability to adapter coverage. beta.2 is almost entirely ClickHouse — Dictionary materialization, index definitions, additional settings, a relation-scoped catalog macro that fixes --write-catalog, and a seed nullability fix — plus Entra bearer-token authentication for the Fabric adapter. Behind it sits the August 14 backport wave, which cut releases for 1.1 through 1.8 in a single day to deliver one deprecated-version warning.

◆ Where it's heading

The two ends of this project are pulling apart cleanly. Old branches are being prepared for retirement — a deprecation warning fanned across eight of them, Python 3.8 testing dropped from 1.4 through 1.6 — while Fusion accumulates the adapter breadth it needs to be a credible replacement. beta.1 proved the engine could bind without a catalog; beta.2 is the unglamorous follow-through of making a specific warehouse work properly.

◆ Prediction

Expect further beta releases filling in per-adapter gaps rather than new engine capability, and formal end-of-life notices for the branches that just took the deprecation warning.

M
mantis
ANALYTICS
0.0

Thirteen months of rOpenSci review turned a pre-release into a 1.0 with a stable API

◆ Current state

mantis builds interactive time-series reports — heatmaps, multipanel plots, alert tables — over routinely collected data, and its release history is essentially an rOpenSci peer-review log. The package went from a January 2025 pre-release that warned of breaking changes ahead, through submission and CRAN acceptance, to a 1.0.0 in October 2025 that locked the API. Since then it has shipped only two small fixes, the most recent chasing a dplyr 1.2.0 deprecation.

◆ Where it's heading

The breaking changes cluster entirely below 1.0.0 and stop there: `period` became `timepoint_unit`, `save_directory`/`save_filename` became `file`, `function_call` became `expression`. Post-1.0 the work is defensive — stricter POSIXt validation, timepoint limits that clamp to the data rather than inventing plot points, daylight-savings handling. The feed reads as a package that has finished defining itself and is now maintaining compatibility with the tidyverse underneath it.

◆ Prediction

With the API frozen and review complete, expect the next release to be another upstream-compatibility fix rather than new report types. There is no signal in these entries about planned feature work.

Alternatives to dbt Core and mantis

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 dbt Core or mantis.

See all dbt Core alternatives → · See all mantis alternatives →

Recent activity from dbt Core and mantis

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

  1. 1d agodbt CoreFusion beta.2 fills in ClickHouse materializations and catalogs
  2. 5d agodbt Coredbt 1.2.7 backports the deprecated-version warning and old fixes
  3. 5d agodbt Coredbt 1.1.6 backports the deprecated-version warning and old fixes
  4. 5d agodbt Coredbt 1.3.8 backports the deprecated-version warning
  5. 5d agodbt Coredbt 1.4.10 drops Python 3.8 and warns on deprecated versions
  6. 5d agodbt Coredbt 1.5.12 drops Python 3.8 and warns on deprecated versions
  7. 6mo agomantisdplyr 1.2.0 compatibility fix
  8. 7mo agomantisrOpenSci acceptance, plus an NA timepoint-limit fix
  9. 9mo agomantis1.0.0 locks the API and tightens timepoint handling
  10. 1y agomantisBespoke reports return to the CRAN build
  11. 1y agomantisFirst CRAN submission, standard reports only
  12. 1y agomantisrOpenSci submission; period renamed to timepoint_unit

Frequently asked questions

What is the difference between dbt Core and mantis?

They serve adjacent needs but don't currently overlap on shipped themes. dbt Core is currently shipping more aggressively (velocity 6.3 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 dbt Core better than mantis?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core is currently shipping more aggressively (velocity 6.3 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 dbt Core?

Top dbt Core alternatives in Analytics are ranked by recent ship velocity. Browse the "dbt Core alternatives" section above for the current picks, or visit /alternatives/dbt-core for the full list with editorial commentary on each.

What are the best alternatives to mantis?

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