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Comparison · Analytics
Apify vs Apache Superset
A side-by-side editorial comparison of Apify and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.
Apify vs Apache Superset: at a glance
| Feature | Apify | Apache Superset |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 5.0 |
| Sparks · 30d | 1 | 0 |
| Top themes | web-scraping, mcp, ai-agents, automation | business-intelligence, open-source, helm-chart, release-cadence |
| Last editorial update | 9d ago | 2d ago |
| Website | — | Visit → |
What is Apify?
Apify is rebuilding its Actor platform around MCP and agent-grade security.
Apify is leaning into the agentic stack: MCP connectors now let Actors operate on authenticated apps like Notion, Slack, and GitHub through a credential-blind proxy, and the MCP configurator has been streamlined for one-click setup across Claude, Cursor, ChatGPT, and more. In parallel it is hardening Actor permissions and adding developer features like multiple datasets and interactive OpenAPI docs.
What is Apache Superset?
Superset's 6.1.0 release vote grinds on while Helm packaging ships on its own cadence
Apache Superset's captured feed splits across two parallel tracks: incremental Helm chart packaging (0.15.3 through 0.16.1) and the drawn-out 6.1.0 core release-candidate vote (rc1 in March, rc3 by May 1). The changelog text carries no feature detail — entries are either packaging version stamps or Apache release-vote emails. Two of the ten entries are mis-crawled GitHub user-profile pages, not releases at all.
Apify vs Apache Superset: editorial side-by-side
Apify
3.8ANALYTICS
Apify is rebuilding its Actor platform around MCP and agent-grade security.
◆ Current state
Apify is leaning into the agentic stack: MCP connectors now let Actors operate on authenticated apps like Notion, Slack, and GitHub through a credential-blind proxy, and the MCP configurator has been streamlined for one-click setup across Claude, Cursor, ChatGPT, and more. In parallel it is hardening Actor permissions and adding developer features like multiple datasets and interactive OpenAPI docs.
◆ Where it's heading
The direction is clear: make Actors first-class tools for AI agents while tightening least-privilege security. MCP is becoming the connective tissue, and permission approvals are the guardrail that makes agent-invoked scraping safer.
◆ Prediction
Expect MCP connector coverage to broaden across more authenticated apps and more Actors, with continued least-privilege defaults as agent-driven runs scale.
Apache Superset
5.0ANALYTICS
Superset's 6.1.0 release vote grinds on while Helm packaging ships on its own cadence
◆ Current state
Apache Superset's captured feed splits across two parallel tracks: incremental Helm chart packaging (0.15.3 through 0.16.1) and the drawn-out 6.1.0 core release-candidate vote (rc1 in March, rc3 by May 1). The changelog text carries no feature detail — entries are either packaging version stamps or Apache release-vote emails. Two of the ten entries are mis-crawled GitHub user-profile pages, not releases at all.
◆ Where it's heading
The core release is converging on 6.1.0, with the RC sequence advancing rc1 to rc3 over roughly seven weeks; the Helm chart line moves independently from 0.15.x into 0.16.x. The cadence is steady but unremarkable — maintenance-and-ship-the-next-minor rhythm rather than capability expansion. What 6.1.0 actually changes for users isn't visible in the crawled entries.
◆ Prediction
Expect a 6.1.0 general-availability tag to follow the rc3 vote, alongside continued point releases on the Helm chart. Whether 6.1.0 carries anything directional can't be judged from these entries.
Alternatives to Apify and Apache Superset
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 Apify or Apache Superset.
Zoho Analytics
A mature BI platform positioning itself as the data-and-semantic foundation for AI agents across the Zoho suite.
Holistics
Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path
Count
Count is turning its BI canvas into a governed, agent-operated analytics platform.
Axiom
Axiom completes the logs-traces-metrics triad and bets the product on AI engineering.
NocoDB
NocoDB keeps converging the database, the document, and the project plan into one workspace.
See all Apify alternatives → · See all Apache Superset alternatives →
Recent activity from Apify and Apache Superset
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoApache SupersetHelm chart 0.16.1 — deployment packaging patch
- 9d agoApache SupersetHelm chart 0.16.0 — deployment packaging update
- 10d agoApifyMCP connectors are live. Actors now work where you do. ⚡
- 1mo agoApifyInteractive OpenAPI documentation for standby Actors
- 1mo agoApache SupersetHelm chart 0.15.5 — deployment packaging patch
- 1mo agoApifyFull-permission Actors now require approval
- 1mo agoApache SupersetSuperset 6.1.0 release candidate 3 (vote)
- 1mo agoApifyMultiple datasets for Actors
- 1mo agoApifyDeploy agents faster with an improved MCP configurator
- 1mo agoApifyMCP configurator refresh (republish)
- 2mo agoApache SupersetSuperset 6.1.0 release candidate 2 (vote)
- 2mo agoApache SupersetMis-crawled GitHub profile page — not a release
Frequently asked questions
What is the difference between Apify and Apache Superset?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Superset is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Apify better than Apache Superset?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Superset is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Apify?
Top Apify alternatives in Analytics are ranked by recent ship velocity. Browse the "Apify alternatives" section above for the current picks, or visit /alternatives/apify for the full list with editorial commentary on each.
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.