Whatagraph
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
A side-by-side editorial comparison of Basedash and soilDB — release velocity, themes, recent moves, and the top alternatives to consider.
Basedash keeps pushing its data out of the workspace — now to people without accounts
Basedash is a BI tool built around an AI data analyst, and the last month has been about getting its output to more places: an API that exposes chat, insights, automations and dashboards; scheduled snapshots to email and Slack; and now a link that opens a live, filterable dashboard for someone with no Basedash account. Alongside that distribution work sits a research-preview agent, Tasks, that reads company data and produces a ranked to-do list. Audit logs, including a record of every query the AI runs, arrived in the same window.
The R front door to USDA soil data finishes a long deprecation cleanup and turns local-first.
soilDB is the R access layer for USDA-NRCS soil data: NASIS local databases, Soil Data Access, SoilWeb coverage services, and a widening set of curated national grids. The 2.9.x line closed out a multi-release deprecation cycle — column aliases and stringsAsFactors are gone, R 4.1 is the floor, and the bundled sample profile collections were rebuilt against the new schema. Recent work has shifted from adding query functions to making existing ones faster and usable against local SQLite or GeoPackage copies.
Basedash is a BI tool built around an AI data analyst, and the last month has been about getting its output to more places: an API that exposes chat, insights, automations and dashboards; scheduled snapshots to email and Slack; and now a link that opens a live, filterable dashboard for someone with no Basedash account. Alongside that distribution work sits a research-preview agent, Tasks, that reads company data and produces a ranked to-do list. Audit logs, including a record of every query the AI runs, arrived in the same window.
Two arcs are running in parallel. One narrows the gap between viewing data and acting on it — suggestions before you type a prompt, then Tasks writing the work item and tracking whether the metric moved. The other decouples consumption from seats: API, subscriptions, and public links each reach an audience that never logs in. The interface work (module-anchored sidebar, per-user table sorting that doesn't rewrite the author's SQL) reads as load-bearing for both.
Tasks leaving research preview is the release that decides how much of this is real; its value depends entirely on the outcome-tracking loop having run long enough to show whether its recommendations worked. Expect the sharing surface to grow permissions and expiry controls next, since a link that works without an account is the first place governance pressure lands.
soilDB is the R access layer for USDA-NRCS soil data: NASIS local databases, Soil Data Access, SoilWeb coverage services, and a widening set of curated national grids. The 2.9.x line closed out a multi-release deprecation cycle — column aliases and stringsAsFactors are gone, R 4.1 is the floor, and the bundled sample profile collections were rebuilt against the new schema. Recent work has shifted from adding query functions to making existing ones faster and usable against local SQLite or GeoPackage copies.
The arc points at offline and local-first workflows. downloadSSURGO() and createSSURGO() keep gaining arguments for building and querying local SSURGO databases, and the query internals were rewritten as common table expressions so identical code runs against the remote service or a local file. Coverage is widening in parallel: FY26 SoilWeb maps now reach most OCONUS surveys, while fetchHWSD() and fetchSOLUS() pull in datasets outside the core NASIS/SSURGO pair. Federal URL churn — EDIT, SoilWeb, S3-hosted geometry — is a recurring maintenance tax the package absorbs on users' behalf.
Expect the next releases to keep extending parallel and offline SSURGO handling, since LAPPLY.FUN has just opened the door to arbitrary parallel backends, and to fold more curated SoilWeb and FAO datasets behind fetch* wrappers.
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 Basedash or soilDB.
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
Lightdash keeps handing authoring to outside agents and keeping the governed layer for itself.
A 4.4.0 tag appears, but the feed carries only its release plumbing
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
RStudio ships through release branches, and the notes are commit messages
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
See all Basedash alternatives → · See all soilDB alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Basedash is currently shipping more aggressively (velocity 7.5 vs 0.0), 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Basedash is currently shipping more aggressively (velocity 7.5 vs 0.0), with 1 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 Basedash alternatives in Analytics are ranked by recent ship velocity. Browse the "Basedash alternatives" section above for the current picks, or visit /alternatives/basedash for the full list with editorial commentary on each.
Top soilDB alternatives in Analytics are ranked by recent ship velocity. Browse the "soilDB alternatives" section above for the current picks, or visit /alternatives/soildb for the full list with editorial commentary on each.