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Collect customer events and supply consistent data to analytical and business destinations.

Prepare connected marketing data for warehouse reports and AI analysis.

Serialize structured data with schemas and compact binary encoding across supported programming languages.

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

Define JavaScript and TypeScript schemas that validate data and infer its types.

Insert a transform-and-routing layer between telemetry sources and observability or security destinations.

Find private companies by sector, funding stage and location

Retrieve current, forecast, and historical weather data in a single coordinate-based request.

Store and query observability telemetry in a columnar data lake with SQL and PromQL.

Look up bond securities and reported fixed-income trades

Request audit confirmations and review bank data with client authorization

An analytical database offered as a managed service and as a self-managed engine.

Request market prices and company data through a developer API

Select market datasets by instrument, interval and observation type

Analyze product funnels and retention using event data already in a warehouse.

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.