Fulcrum
Fulcrum ships MCP server and AI Toolkit to let AI assistants build and query field data forms
Comparison · Analytics
Apache Superset vs Keboola
A side-by-side editorial comparison of Apache Superset and Keboola — release velocity, themes, recent moves, and the top alternatives to consider.
Apache Superset vs Keboola: at a glance
What is Apache Superset?
Superset's public release feed is now only Helm chart bumps; the app's own changelog is elsewhere.
The last ten entries on this feed are consecutive Helm chart tags, 0.20.0 through 0.22.6, spanning about a month. Each carries only the repository's one-line boilerplate description — no release notes, no changed chart values, no indication of what moved. Nothing in this window describes a change to Superset the application.
What is Keboola?
Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.
Keboola's Kai AI assistant is now generally available for multi-tenant contracted customers, marking the formal transition from experimental feature to production-ready product. The platform is simultaneously navigating Snowflake's forced password authentication deprecation — a platform-level forcing function requiring customer migrations before September 7. Recent work also includes the MCP server gaining unified cross-project authentication, which enables AI coding assistants to act as first-class operators across a full Keboola stack.
Apache Superset vs Keboola: editorial side-by-side
Apache Superset
5.0ANALYTICS
Superset's public release feed is now only Helm chart bumps; the app's own changelog is elsewhere.
◆ Current state
The last ten entries on this feed are consecutive Helm chart tags, 0.20.0 through 0.22.6, spanning about a month. Each carries only the repository's one-line boilerplate description — no release notes, no changed chart values, no indication of what moved. Nothing in this window describes a change to Superset the application.
◆ Where it's heading
Chart tags are landing every few days, which reads as active deployment-packaging maintenance rather than product movement. Because the tags carry no notes, there is no way from this feed to separate a chart-only fix from one that ships a new Superset image. Judging the product's direction from this source is not possible; that signal lives in the application releases, which this feed does not carry.
◆ Prediction
The chart-tag cadence will most likely continue at a few per week on the evidence of the past month. What these entries do not show is whether any of them accompany a Superset application release, so a confident read on product direction is not available here.
Keboola
7.5ANALYTICS
Keboola's Kai AI assistant hits GA, completing the pivot from data platform to AI-native pipeline orchestration layer.
◆ Current state
Keboola's Kai AI assistant is now generally available for multi-tenant contracted customers, marking the formal transition from experimental feature to production-ready product. The platform is simultaneously navigating Snowflake's forced password authentication deprecation — a platform-level forcing function requiring customer migrations before September 7. Recent work also includes the MCP server gaining unified cross-project authentication, which enables AI coding assistants to act as first-class operators across a full Keboola stack.
◆ Where it's heading
Keboola is building toward a model where AI agents can autonomously manage the data pipeline lifecycle. The MCP server's unified auth is a signal: the target is a world where a developer's coding assistant can browse, create, and modify Keboola pipelines without a human navigating the UI. Kai GA and the MCP expansion are the same thesis from two directions — AI as interface, not AI as feature. Branched storage expansion to BigQuery and Flows improvements in the background are the operational stability layer those agents will depend on.
◆ Prediction
Kai gaining the ability to create and modify Flows, and the MCP server expanding its coverage to transformation and workspace management, are the two most visible next moves. The Branched Storage on BigQuery release is a prerequisite for Branches 2.0 approval workflows, which would give Kai a way to propose and commit pipeline changes with human review gates.
Alternatives to Apache Superset 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 Apache Superset or Keboola.
Holistics
Holistics builds AI governance and docs-as-analytics in parallel, shipping both weekly
dbt Core
dbt 2.0 enters final RC with beta Snowflake interactive_table materialization and full ClickHouse MV support.
OpenHouse
OpenHouse breaks ground on Iceberg views while tightening storage lifecycle and authorization
Lightdash
Lightdash is cutting its dbt dependency and building AI-powered authoring into every layer of its BI stack.
Omni
Omni's Apps reach general availability, completing its embedded analytics platform pitch.
See all Apache Superset alternatives → · See all Keboola alternatives →
Recent activity from Apache Superset and Keboola
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoKeboolaKai is Now Generally Available (Multi-Tenant, Contracted Customers) ⚡
- 6d agoKeboolaMigrate Snowflake Workspaces from Password to Key Pair Auth
- 22d agoKeboolaKeboola MCP: Log In Once, Work Across Every Project ⚡
- 27d agoKeboolaPython 3.10 Deprecation for Streamlit Apps (September 2026)
- 1mo agoApache SupersetSuperset Helm chart 0.22.6 (packaging)
- 1mo agoKeboolaFlows: New Condition Operators and Run Selected Tasks
- 1mo agoApache SupersetSuperset Helm chart 0.22.5 (packaging)
- 1mo agoKeboolaBranched Storage on BigQuery
- 1mo agoApache SupersetSuperset Helm chart 0.22.4 (packaging)
- 1mo agoApache SupersetSuperset Helm chart 0.22.3 (packaging)
- 1mo agoApache SupersetSuperset Helm chart 0.22.2 (packaging)
- 1mo agoApache SupersetSuperset Helm chart 0.22.1 (packaging)
Frequently asked questions
What is the difference between Apache Superset and Keboola?
They serve adjacent needs but don't currently overlap on shipped themes. Keboola is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 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 Apache Superset better than Keboola?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Keboola is currently shipping more aggressively (velocity 7.5 vs 5.0), with 2 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 Apache Superset?
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/apache-superset 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.