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Data Integrations

Data Integrations

3
posts
2026

Hex now supports a wide range of data integrations, including direct connections to data warehouses, local file uploads, metadata and semantic layer tools, data cataloging and observability platforms, code sync and versioning tools, machine learning frameworks, and orchestration/workflow tools. This allows users to bring their data and tools into Hex for seamless analytics and data operations. Hex now allows users to build governed semantic models for their data, defining trusted metrics and dimensions. This post details how customers like Ramp, Underdog, and Hover leverage Hex's integrations with tools like dbt and GitHub to manage and activate context for AI analytics, ensuring accuracy and consistency by syncing documentation, model descriptions, and endorsements. It highlights features like Context Studio for monitoring agent performance and suggestions, and the use of GitHub Actions and CLI for programmatic updates to context guides, demonstrating an evolution in how context is managed and integrated for AI-driven data analysis.

2026

How the best data teams obsess over context

7/23/2026

This post details how Hex customers (Ramp, Underdog, Hover) are using Hex's data integrations, specifically with dbt and GitHub, to build and manage context for AI analytics. It highlights the technical implementation of syncing dbt metadata and domain docs via GitHub Actions, using API for endorsing models, and leveraging Context Studio with suggestions and CLI for iterative context improvement. It also mentions the use of reference repos and published apps as context for the agent.

Building semantic models in Hex

7/15/2026

This post details the process of building governed semantic models in Hex. It outlines how to curate business questions, pair them with Verified SQL Queries (VSQs) as ground truth, and use Hex's semantic modeling agent to scaffold the model. It also covers creating usage guides for agents and maintaining the model over time. This enhances the data integration capabilities by providing a structured way to define and govern metrics.

Unknown

Data Integrations for Analytics and Data Teams

Unknown date

This post introduces and details Hex's expanded data integration capabilities, listing specific supported tools across various categories like storage & compute, metadata & metrics, data catalogs & observability, code sync & versioning, machine learning, and orchestration & workflows. It highlights the ability to query data in-database or cache it in Hex dataframes, sync with metadata tools, and trigger Hex flows from data pipelines.