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Application components with content and data-visualization guidance

Collect, harmonize and monitor marketing data before it reaches reporting systems.

Explore warehouse data in workbooks and build analytical applications around it.

Connect, transform and store business data before sharing dashboards and reports.

AI review analytics and marketplace data for sellers and brands

A distributed SQL engine for real-time analytics, data warehousing, and search workloads.

Jupyter-native AI agent that writes, runs, and debugs Python in notebooks.

Compare exchange activity and blockchain metrics with explicit data-access limits

AI data agent that works with your own SQL inside your editor

AI spreadsheet that connects to databases and apps, answers questions in plain English, and builds charts and models.

Collaborative analytics platform for SQL, Python, R, and dashboards

Compare DeFi protocols with defined metrics and historical data

License financial datasets for personal research or commercial products

Financial data preparation with connected spreadsheets

Track site speed and Core Web Vitals with lab tests, visitor data, and uptime alerts.

Monitor production ML and LLM systems for drift, quality, fairness, and agent behavior.

Add bank payments and organized financial data to customer applications

Create a managed Postgres project and connect it with a method suited to the application runtime.

Lyon's metropolitan data catalogue and reuse guidance

Inspect euro-area indicators with their statistical definitions

Data systems and end-to-end data work

Prepare connected business data, define shared metrics and explore it through visual cloud analytics.

Prepare connected business data and turn it into interactive reports and dashboards.

Unify acquisition cost, attribution and revenue data for cross-channel marketing analysis.