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An open-source in-memory data-structure server for caching, queues, and key-value workloads.

Validate Python data against typed models and generate matching JSON Schema.

Load, reshape, and analyze labeled tabular and time-series data with Python.

Build coordinate-based weather requests from current conditions and selectable hourly or daily forecast variables.

Ingest streaming or batch data into an analytics database built for fast interactive queries.

A managed GridDB service for collecting and querying time-series data from applications and devices.

Centralize application and infrastructure logs for search, monitoring, and troubleshooting in a managed cloud analytics service.

Fully managed cloud platform for data engineering, analytics, and AI

Unify B2B data relationships for attribution, account engagement and revenue analysis.

Collect client accounting data in a consistent format for review

Use one API key to access data APIs across finance, technology, places, text, and more.

An API for looking up and contributing ingredient, nutrition, and product details by barcode or search.

Query fresh analytical data through a distributed OLAP datastore with SQL and REST access paths.

Generate typed accessors for compact serialized data that applications can read directly from a buffer.

Serialize and deserialize Rust data structures through a shared data-model framework.

Retrieve current conditions, forecasts, history and location data through one weather-focused REST API.

Research international banking, liquidity and financial-market statistics

Compare ETF peers and bring structured fund data into research systems

A reactive Python notebook editor that saves notebooks as ordinary Python files.

Build reusable visual workflows to prepare, analyze and chart business data.

Build self-hosted dashboards and reports on modeled business data, with server-based licensing.

Collect marketing and commerce data for dashboards, reports and analytical exports.

Analyze supplied data in a statistical spreadsheet and save the data, settings and results together.

Combine historical prices, fundamentals and financial news in data projects