Interactive SQL Lab

Run multi-table SaaS telemetry queries locally and follow guided lessons for activation, AI cost, reliability, and customer impact.

Run the lab

SQL recipe cookbook

Copy complete DataFusion SQL with typed event schemas, synthetic results, visualizations, edge cases, dashboards, and alert guidance.

Browse recipes

Product documentation

Send events, design schemas, query DataFusion, build dashboards, create alerts, export results, and troubleshoot production workflows.

Read documentation

Integration guides

Instrument frameworks, queues, model providers, databases, edge runtimes, and orchestration tools at the outcome boundary they own.

Find an integration

Implementation templates

Start with compact event contracts and monitoring briefs for AI agents, API reliability, background jobs, webhooks, retention, and databases.

Use a template

Use-case guides

Choose what to measure, which events to capture, and which decisions the resulting SQL should support.

Choose a use case

Product comparisons

Review sourced differences in event model, operations, query workflow, and pricing assumptions before choosing a platform.

Compare approaches

Customer stories

See confirmed customer feedback, the reusable event pattern behind it, and related inspectable SQL.

Read customer stories

Agent prompt pack

Give Claude Code, Codex, Cursor, or another coding agent a bounded instrumentation brief with privacy and verification requirements.

Copy a prompt

Security and data handling

Review the documented data flow, API-key boundaries, retention and deletion controls, and questions that require a current security review.

Review security

Learn

Start with the SQL Lab or documentation when you need a durable mental model and executable examples.

Implement

Choose an integration, template, or agent prompt when the event boundary is already clear.

Evaluate

Use customer stories, comparisons, methodology, and security documentation when reviewing product fit and evidence.