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Application components with content and data-visualization guidance

AI data analyst that connects, cleans and analyzes data in plain English

Select market datasets by instrument, interval and observation type

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.

Compare DeFi protocols with defined metrics and historical data

AI review analytics and marketplace data for sellers and brands

License financial datasets for personal research or commercial products

Financial data preparation with connected spreadsheets

A project-based IDE for writing and running R-centered data work, with support for Python scripts and documents.

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

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

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

Inspect euro-area indicators with their statistical definitions

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

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

Connect, prepare and warehouse business data for shared KPI dashboards.

Collect and validate event-level behavior data for warehouses, streams and analytics.