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Comparison · Analytics
Keboola vs OpenHouse
A side-by-side editorial comparison of Keboola and OpenHouse — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:governance
Keboola vs OpenHouse: at a glance
What is Keboola?
Keboola moves transformations to DuckDB 2.0 and pushes its docs into Snowflake and BigQuery.
Keboola made DuckDB 2.0 the default for new DuckDB transformations, with the version selectable per transformation, and now writes table and column descriptions into Snowflake and BigQuery for new and existing tables. These follow a governance run: the GitHub App for private repos, Branched Storage on every stack, a read-only MCP query tool and idle workspace cleanup.
What is OpenHouse?
OpenHouse adds time-zone-aware retention and per-database table caps.
OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.
Keboola vs OpenHouse: editorial side-by-side
Keboola
5.0ANALYTICS
Keboola moves transformations to DuckDB 2.0 and pushes its docs into Snowflake and BigQuery.
◆ Current state
Keboola made DuckDB 2.0 the default for new DuckDB transformations, with the version selectable per transformation, and now writes table and column descriptions into Snowflake and BigQuery for new and existing tables. These follow a governance run: the GitHub App for private repos, Branched Storage on every stack, a read-only MCP query tool and idle workspace cleanup.
◆ Where it's heading
Keboola is making the metadata and controls it holds useful outside its own UI, so warehouse users and AI tools see the same descriptions and rules. Engine choices such as DuckDB 2.0 keep transformation options current alongside that governance work.
◆ Prediction
Expect more Keboola metadata, such as lineage or ownership, to sync into the connected warehouses, and further runtime version bumps offered side by side.
OpenHouse
5.0ANALYTICS
OpenHouse adds time-zone-aware retention and per-database table caps.
◆ Current state
OpenHouse ships small versioned releases straight from merged pull requests. On November 13 it shipped five: retention policies on string date columns can now take a time zone, operators can cap live tables per database with metrics on usage and rejections, view requests and operations are now audited in full, and two fixes make view property SET/UNSET and REPLACE behave. Earlier in November failed Spark maintenance jobs began exiting as failed.
◆ Where it's heading
OpenHouse is adding the controls a shared lakehouse needs at scale: quotas, audit trails and retention that matches business calendars. Views are getting the same governance tables already had.
◆ Prediction
Expect more views milestones after audit (the release is labeled Views M1), and further operator controls for quotas and maintenance.
Alternatives to Keboola and OpenHouse
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 Keboola or OpenHouse.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
Dagster
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
Countly
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Keboola alternatives → · See all OpenHouse alternatives →
Recent activity from Keboola and OpenHouse
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 14h agoOpenHouseRetention policies on string date columns accept a time zone
- 16h agoOpenHouseOpenHouse adds an optional per-database table count limit
- 18h agoOpenHouseFix: ALTER VIEW UNSET now removes view properties
- 1d agoOpenHouseFix view REPLACE property validation
- 1d agoOpenHouseOpenHouse audits view requests and operations in full
- 4d agoKeboolaDuckDB 2.0 is now available in transformations
- 4d agoKeboolaTable and column descriptions now also in workspaces, Data Gateway and external buckets
- 4d agoKeboolaTable and column descriptions now appear in Snowflake and BigQuery
- 4d agoOpenHouseFailed Spark maintenance jobs now exit as failed
- 11d agoKeboolaConnect GitHub repositories without personal tokens
- 15d agoKeboolaSecurity Update for Python/JS and Streamlit Data Apps
- 15d agoKeboolaBranched Storage is being enabled on all projects
Frequently asked questions
What is the difference between Keboola and OpenHouse?
Both compete on the same themes — governance — within Analytics. Keboola and OpenHouse 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.
Is Keboola better than OpenHouse?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Keboola and OpenHouse 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.
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.
What are the best alternatives to OpenHouse?
Top OpenHouse alternatives in Analytics are ranked by recent ship velocity. Browse the "OpenHouse alternatives" section above for the current picks, or visit /alternatives/openhouse for the full list with editorial commentary on each.