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Comparison · Analytics
Dagster vs Keboola
A side-by-side editorial comparison of Dagster and Keboola — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:snowflake
Dagster vs Keboola: at a glance
What is Dagster?
Dagster is extending declarative automation past assets while hardening its Snowflake and dbt surface.
Weekly releases on a steady 1.13.x / 0.29.x train, each mixing a small number of user-visible additions with a longer bugfix list. The substantive work this cycle sits in two places: automation reaching beyond individual assets to whole jobs, and asset health reporting learning to distinguish a failure that is awaiting an automatic retry from one that is genuinely degraded. Dagster+ operational controls — partition wiping, deploy alerts, alert rendering — are getting steady attention alongside the open-source core.
What is Keboola?
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.
Dagster vs Keboola: editorial side-by-side
Dagster
6.3ANALYTICS
Dagster is extending declarative automation past assets while hardening its Snowflake and dbt surface.
◆ Current state
Weekly releases on a steady 1.13.x / 0.29.x train, each mixing a small number of user-visible additions with a longer bugfix list. The substantive work this cycle sits in two places: automation reaching beyond individual assets to whole jobs, and asset health reporting learning to distinguish a failure that is awaiting an automatic retry from one that is genuinely degraded. Dagster+ operational controls — partition wiping, deploy alerts, alert rendering — are getting steady attention alongside the open-source core.
◆ Where it's heading
The declarative model is being pushed to cover the parts of a deployment it previously could not reach, which is the gap that forced teams back onto schedules and sensors. In parallel, the Snowflake and dbt integrations are being brought to parity with each other around versioned state storage, and health signals are being refined so that operators are alerted on real problems rather than transient ones. This is consolidation of a platform story rather than expansion into new territory.
◆ Prediction
Declarative Automation for jobs is likely to move from preview toward general availability, and the SnowflakeDbtProjectComponent — introduced as a preview and patched in three consecutive releases — should stabilize on a similar timeline.
Keboola
5.0ANALYTICS
Keboola is smoothing the seams — MCP login, direct workspace writes, and BigQuery catching up to Snowflake
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Branches 2.0 with approval workflows and conflict resolution is the next substantial release, and it should land once BigQuery parity work is finished.
Alternatives to Dagster and Keboola
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 Dagster or Keboola.
Chord
Chord is turning its analytics assistant into something with memory, and now feeding it more sources
Datawrapper
Datawrapper ships one small fix at a time, each named for the chart it touches
Holistics
After a summer fencing in its AI layer, Holistics points it at the question analysts get asked most.
dbt Core
Fusion's 2.0 train has become adapter work: Exasol from scratch, ClickHouse toward parity.
AgencyAnalytics
Reporting tool turning itself into the place agencies prove AI visibility to clients
See all Dagster alternatives → · See all Keboola alternatives →
Recent activity from Dagster and Keboola
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6d agoDagsterSingle-action partition wipe clears degraded health; deploy-success alerts
- 8d agoKeboolaKeboola MCP: Log In Once, Work Across Every Project
- 12d agoDagsterAutomation table expand/collapse; sensor dry-run permissions fix
- 13d agoKeboolaPython 3.10 Deprecation for Streamlit Data Apps
- 19d agoDagsterPartition-level retry warnings and defs_state for the Snowflake dbt component
- 23d agoKeboolaFlows: New Condition Operators and Run Selected Tasks
- 26d agoDagsterRetry-pending failures now warn instead of degrading
- 26d agoKeboolaBranched Storage on BigQuery
- 27d agoKeboolaWorkspaces Now Write Directly to Storage Tables
- 28d agoKeboolaNew Python Versions Available for Transformations and Workspaces
- 1mo agoDagsterDeclarative Automation can now launch jobs (preview) ⚡
- 1mo agoDagsterSnowflake dbt component preview and MCP server docs
Frequently asked questions
What is the difference between Dagster and Keboola?
Both compete on the same themes — snowflake — within Analytics. Dagster is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Dagster better than Keboola?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Dagster?
Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster for the full list with editorial commentary on each.
What are the best alternatives to Keboola?
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.