Dovetail
Channels stops labelling themes and starts tracking owned, priced-up ideas.
A side-by-side editorial comparison of Holistics and Keboola — release velocity, themes, recent moves, and the top alternatives to consider.
After a summer fencing in its AI layer, Holistics points it at the question analysts get asked most.
Holistics ships short, frequent notes, and the August 31 pair is the first in months that adds capability rather than control. Analyze Changes lets any user right-click a data point and get a two-step investigation: whether the movement is statistically unusual at all, then which dimensions and segments drove it and by how much. Anomaly Detection scans a time-series metric against an expected range built from its own history and flags the outliers, with the resulting chart saveable to a dashboard. Both are named as parts of a new Smart Analysis surface. The weeks before were governance — redaction of data the AI may see, and an AI user attribute restricting what it can reach.
Keboola is smoothing the seams — MCP login, direct workspace writes, and BigQuery catching up to Snowflake
Keboola's August work is concentrated on removing intermediate steps. The MCP server swapped pasted Storage API tokens for a one-time browser login that reaches every project on a stack, workspaces write straight into Storage without an output-mapping job, and branched storage arrives on BigQuery to match Snowflake. Alongside that sits a run of runtime and authentication deprecations with hard dates.
Holistics ships short, frequent notes, and the August 31 pair is the first in months that adds capability rather than control. Analyze Changes lets any user right-click a data point and get a two-step investigation: whether the movement is statistically unusual at all, then which dimensions and segments drove it and by how much. Anomaly Detection scans a time-series metric against an expected range built from its own history and flags the outliers, with the resulting chart saveable to a dashboard. Both are named as parts of a new Smart Analysis surface. The weeks before were governance — redaction of data the AI may see, and an AI user attribute restricting what it can reach.
The AI work has run in a recognizable order: capability, then observability, then access control, then redaction — and now capability again, but aimed somewhere new. Everything Holistics shipped before answered questions about building or querying; Smart Analysis answers why a number moved, which is the request that has always been routed to an analyst. Governance arriving first is what makes it viable: redaction and the AI user attribute decide what the investigator may look at before it is allowed to investigate on its own. Alongside it, presentation keeps moving into AML, so what analysts used to click is versioned as code.
The published roadmap already lists AI Dashboard Summaries and organization-level AI memory, so the next step is likely narrative output over the same investigation — an explanation attached to the dashboard rather than produced on right-click. Whether Smart Analysis stays a manual gesture or starts running unprompted against monitored metrics is the open question.
Keboola's August work is concentrated on removing intermediate steps. The MCP server swapped pasted Storage API tokens for a one-time browser login that reaches every project on a stack, workspaces write straight into Storage without an output-mapping job, and branched storage arrives on BigQuery to match Snowflake. Alongside that sits a run of runtime and authentication deprecations with hard dates.
Two threads run in parallel: making the assistant and workspace surfaces less ceremonious, and dragging the BigQuery backend to parity with Snowflake ahead of Branches 2.0. The deprecation notices — Python 3.10, Snowflake password auth — suggest a platform clearing old ground before the next structural release.
Branches 2.0 with approval workflows and conflict resolution is the next substantial release, and it should land once BigQuery parity work is finished.
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 Holistics or Keboola.
Channels stops labelling themes and starts tracking owned, priced-up ideas.
Chord is turning its analytics assistant into something with memory, and now feeding it more sources
Datawrapper ships one small fix at a time, each named for the chart it touches
Fusion's 2.0 train has become adapter work: Exasol from scratch, ClickHouse toward parity.
Reporting tool turning itself into the place agencies prove AI visibility to clients
Stitch is running a fleet-wide Python 3.12 migration across its connector estate.
See all Holistics alternatives → · See all Keboola alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Holistics is currently shipping more aggressively (velocity 6.3 vs 5.0), 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. Holistics is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Holistics alternatives in Analytics are ranked by recent ship velocity. Browse the "Holistics alternatives" section above for the current picks, or visit /alternatives/holistics for the full list with editorial commentary on each.
Top Keboola alternatives in Analytics are ranked by recent ship velocity. Browse the "Keboola alternatives" section above for the current picks, or visit /alternatives/keboola for the full list with editorial commentary on each.