Deepnote
Deepnote reshapes the data notebook into agent-operable infrastructure.
A side-by-side editorial comparison of Whatagraph and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Whatagraph | Apache Superset |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 5.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | marketing-reporting, integrations, data-storage, visualization | business-intelligence, kubernetes, helm, deployment |
| Last editorial update | 9d ago | 1d ago |
| Website | — | Visit → |
Whatagraph builds a managed storage layer, moving from live-API reporting toward owning the data pipeline
Whatagraph is a marketing-reporting platform that pulls multi-channel data — paid media, web analytics, CRM, call tracking, e-commerce — into client-ready reports. Recent releases push on three fronts: more data sources (WhatConverts, Snowflake, bol., CallTrackingMetrics v2), reporting performance and architecture (Data Storage), and report-building UX (themes, grid view, AI-assisted creation, conditional formatting, GeoMap).
Superset's Helm chart ships steadily, but these tags track packaging, not the BI app
The tracked feed for Apache Superset here is its Helm chart, the Kubernetes deployment packaging, rather than the Superset application itself. The chart has moved from 0.15.5 through 0.19.0 over recent weeks, including a burst of point releases from 0.17.0 to 0.17.3 across two days in late June. None of the entries carry release notes beyond the standard project description, so the user-facing changes are opaque from this source alone.
Whatagraph is a marketing-reporting platform that pulls multi-channel data — paid media, web analytics, CRM, call tracking, e-commerce — into client-ready reports. Recent releases push on three fronts: more data sources (WhatConverts, Snowflake, bol., CallTrackingMetrics v2), reporting performance and architecture (Data Storage), and report-building UX (themes, grid view, AI-assisted creation, conditional formatting, GeoMap).
The direction is owning more of the data pipeline — adding warehouse-grade sources like Snowflake and a managed storage layer so reports load fast over deep history — while smoothing the build experience for agencies juggling many clients. AI-assisted report creation ('Create with IQ') hints at where the authoring side is heading.
Expect continued integration expansion, especially retail-media and warehouse sources, more depth on Data Storage (schemas, backfill, performance), and further AI in report creation. Whatagraph is positioning as a reporting layer that stores and blends data, not just one that visualizes live feeds.
The tracked feed for Apache Superset here is its Helm chart, the Kubernetes deployment packaging, rather than the Superset application itself. The chart has moved from 0.15.5 through 0.19.0 over recent weeks, including a burst of point releases from 0.17.0 to 0.17.3 across two days in late June. None of the entries carry release notes beyond the standard project description, so the user-facing changes are opaque from this source alone.
The cadence points to active, ongoing maintenance of the deployment layer, with minor-version and patch bumps landing every few days. Without changelog detail it is not possible to separate dependency updates from configuration changes, but the packaging is clearly being kept current with the underlying application.
Expect continued incremental Helm chart releases on a similar cadence; the entries do not support a call on the direction of the Superset application itself.
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 Whatagraph or Apache Superset.
Deepnote reshapes the data notebook into agent-operable infrastructure.
Chord rebuilds Copilot from the ground up, betting its CDP on conversational AI.
MotherDuck climbs from serverless DuckDB warehouse to an agent-operable data platform
Apify retools Actors for the agentic web — agent payments and login-gated MCP access.
Usermaven consolidates a sprawling analytics suite into one AI-assisted hub.
Appfigures turns its estimate engine into market-ranking and competitor-intel products.
See all Whatagraph alternatives → · See all Apache Superset alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Whatagraph and Apache Superset are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). 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. Whatagraph and Apache Superset are shipping at a similar cadence (velocity 5.0 vs 5.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Whatagraph alternatives in Analytics are ranked by recent ship velocity. Browse the "Whatagraph alternatives" section above for the current picks, or visit /alternatives/whatagraph for the full list with editorial commentary on each.
Top Apache Superset alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Superset alternatives" section above for the current picks, or visit /alternatives/superset for the full list with editorial commentary on each.