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Comparison · Analytics

Holistics vs Apify

Side-by-side trajectory, velocity, and editorial themes.

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Holistics
ANALYTICS
7.5

Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path

◆ Current state

Holistics is a BI platform built around analytics-as-code, where models and dashboards are defined in its AMQL language and version-controlled in Git. Recent releases push on three fronts at once: competitive migration (a one-command Power BI importer), AI-native authoring (Claude Code setup skills and a conversational Ask AI), and steady breadth work like an Oracle connector and org-level GitHub App auth. The throughline is making the code-first workflow easier to adopt and operate.

◆ Where it's heading

The direction is to lower the switching cost from incumbent BI tools while betting that analytics teams will work through agents and code rather than point-and-click. Migration tooling and agentic setup skills both target the same friction: getting a team productive in Holistics fast. Parallel embed and dashboard-runtime polish (auto-run, KPI styling) point to a continued focus on the embedded-analytics use case.

◆ Prediction

Expect the migration story to extend to other incumbents and the agentic-development skills to deepen, given the back-to-back Power BI importer and Claude Code setup releases. Embedded-analytics controls look set to keep maturing.

A
Apify
ANALYTICS
7.5

Apify retools Actors for the agentic web — agent payments and login-gated MCP access.

◆ Current state

Apify runs a marketplace of 'Actors' — hosted scrapers and automations — and its recent releases aim squarely at AI agents as the new consumer. Agents can now pay per run in USDC via the x402 protocol with no account, reach login-gated apps through MCP connectors, and discover Actors through SEO-friendly published task pages. In parallel, Apify is tightening Actor permissions as agents run more code on users' behalf.

◆ Where it's heading

Apify is repositioning from a developer scraping platform into agent-native infrastructure: making Actors callable, payable, and discoverable by autonomous agents, while adding the permission guardrails that agent-driven execution demands. Security defaults are the necessary counterweight to opening the platform to agents.

◆ Prediction

Expect more agent-economy plumbing — broader x402/agentic-payment coverage and more MCP-connected apps — alongside continued least-privilege permission tightening as the default execution model becomes agent-initiated.

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