Hex
Hex is rebuilding analytics around an agent — now an MCP client that pulls context from anywhere.
Comparison · Analytics
Mode Analytics vs Apify
A side-by-side editorial comparison of Mode Analytics and Apify — release velocity, themes, recent moves, and the top alternatives to consider.
Mode Analytics vs Apify: at a glance
| Feature | Mode Analytics | Apify |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 2.5 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | business intelligence, spreadsheet ui, cross-source joins, sql editor | mcp, ai-agents, marketplace-discovery, api |
| Last editorial update | 1mo ago | 2d ago |
| Website | — | — |
What is Mode Analytics?
Mode is converging spreadsheets, SQL, Python, and cross-source joins into one analyst surface.
Mode is making its core report editor more flexible and analyst-friendly: a native Excel-style spreadsheet mode with 70+ formulas alongside SQL and Python, a Data Mashup capability for cross-warehouse joins without ETL, a substantially overhauled SQL editor, shareable filtered URLs, and granular per-viz downloads in white-label embeds. Admin-side governance has kept pace with admin-managed refresh schedules and automated data retention policies.
What is Apify?
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
Apify's Actor platform is reorienting around AI agents. Recent releases add MCP connectors for authenticated apps, a redesigned MCP configurator spanning major LLM clients, interactive OpenAPI endpoints for standby Actors, and stricter permission defaults framed explicitly around agent safety. The marketplace itself is gaining agent- and search-readable surfaces.
Mode Analytics vs Apify: editorial side-by-side
Mode Analytics
2.5ANALYTICS
Mode is converging spreadsheets, SQL, Python, and cross-source joins into one analyst surface.
◆ Current state
Mode is making its core report editor more flexible and analyst-friendly: a native Excel-style spreadsheet mode with 70+ formulas alongside SQL and Python, a Data Mashup capability for cross-warehouse joins without ETL, a substantially overhauled SQL editor, shareable filtered URLs, and granular per-viz downloads in white-label embeds. Admin-side governance has kept pace with admin-managed refresh schedules and automated data retention policies.
◆ Where it's heading
Mode is doubling down on the 'one workspace for SQL, Python, and spreadsheets' positioning at a moment when most BI tools are picking a lane. The cross-source Data Mashup is the more strategic bet — it positions Mode as a thin governance/analysis layer sitting above multiple warehouses, useful in shops with fragmented data infrastructure. White-label embedding work hints at continued investment in the analytics-for-customers segment.
◆ Prediction
Expect AI/copilot features to layer onto the new SQL editor and spreadsheet surfaces (natural-language query, formula suggestion), and Data Mashup to graduate from invite-only to GA with notebook-output and CSV/Excel sources following. White-label embeds are a likely target for richer customer-facing interactivity given Mode's product-analytics-embed customer base.
Apify
6.3ANALYTICS
Apify is rebuilding the Actor platform as MCP-first agent infrastructure.
◆ Current state
Apify's Actor platform is reorienting around AI agents. Recent releases add MCP connectors for authenticated apps, a redesigned MCP configurator spanning major LLM clients, interactive OpenAPI endpoints for standby Actors, and stricter permission defaults framed explicitly around agent safety. The marketplace itself is gaining agent- and search-readable surfaces.
◆ Where it's heading
The throughline is making Actors first-class tools for LLM agents: callable, documented, permissioned, and discoverable. OpenAPI docs and the configurator lower the friction of letting an agent invoke an Actor it didn't write, while permission gates add a safety counterweight. Discovery features extend the same agent-centric logic to distribution on Apify Store.
◆ Prediction
Expect broader MCP coverage — more Actors marked MCP-compatible and tighter authenticated connector flows — alongside further agent-oriented discovery surfaces on the Store.
Alternatives to Mode Analytics and Apify
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 Mode Analytics or Apify.
Fulcrum
Fulcrum is in steady maintenance mode, polishing its field-mapping and mobile data-capture core.
Lightdash
Lightdash keeps sanding down the edges of self-serve BI, chart by chart.
Apache Superset
Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal
Apache Superset
Superset's public feed is all Helm-chart packaging — the 6.x product work sits behind release votes
Tinybird
Tinybird funnels customers from Classic to Forward while widening connectors and SDK coverage.
See all Mode Analytics alternatives → · See all Apify alternatives →
Recent activity from Mode Analytics and Apify
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoApifyNew Actor creation flow
- 3d agoApifyPublish tasks for your Actor to get more users
- 18d agoApifyMCP connectors are live. Actors now work where you do. ⚡
- 1mo agoApifyInteractive OpenAPI documentation for standby Actors
- 1mo agoApifyFull-permission Actors now require approval
- 1mo agoMode AnalyticsNative spreadsheet mode lands in Mode reports ⚡
- 2mo agoApifyMultiple datasets for Actors
- 4mo agoMode AnalyticsWhite Label Embeds : Per-Visualization Data Downloads
- 4mo agoMode AnalyticsData Mashup enables cross-source SQL joins in one report ⚡
- 4mo agoMode AnalyticsNew and Improved SQL Editor
- 7mo agoMode AnalyticsIntroducing Shareable Report Views
- 8mo agoMode AnalyticsImport Notebook files directly
Frequently asked questions
What is the difference between Mode Analytics and Apify?
They serve adjacent needs but don't currently overlap on shipped themes. Apify is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.
Is Mode Analytics better than Apify?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apify is currently shipping more aggressively (velocity 6.3 vs 2.5), 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.
What are the best alternatives to Mode Analytics?
Top Mode Analytics alternatives in Analytics are ranked by recent ship velocity. Browse the "Mode Analytics alternatives" section above for the current picks, or visit /alternatives/mode for the full list with editorial commentary on each.
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.