Hex

Collaborative data workspace with built-in AI for analytics and reporting.

4.2 (6)

Évalué par Daniel Nikulshyn·Mis à jour mai 2026

Collaboration Python Data Analytics Cloud AI Assistant SQL Business Intelligence Dashboards

Aperçu

Hex is a cloud-based data platform that combines SQL, Python, no-code tools, and AI assistance in a single collaborative workspace. Teams can connect to their data warehouses, explore datasets, build interactive notebooks, and publish polished dashboards or data apps. Its AI features, branded as Magic, help users write queries, generate charts, debug code, and turn natural-language questions into analyses. This makes Hex useful for both technical analysts who want to move faster and business users who need self-serve answers without deep SQL knowledge. Hex is typically adopted by data teams looking to centralize exploratory analysis, internal reporting, and AI-driven data exploration in one shared environment.

Fonctionnalités clés

Magic AI for natural-language data queries
Collaborative multiplayer notebooks
SQL and Python in the same workflow
Interactive dashboards and data apps
Integrations with major data warehouses
Version control and scheduled runs

Cas d’usage

Natural-language data exploration

Business users ask questions in plain English and Hex's Magic AI generates SQL queries and charts, enabling self-serve analytics without deep technical skills.

Collaborative analyst notebooks

Data teams work together in multiplayer notebooks combining SQL and Python, speeding up exploratory analysis with AI-assisted query writing and debugging.

Internal reporting dashboards

Analysts build and publish interactive dashboards and data apps connected to the company's warehouse, with scheduled runs to keep stakeholders updated.

Centralized data workspace

Organizations consolidate ad-hoc analysis, reporting, and AI-driven exploration into one platform with version control and warehouse integrations.

Pour & contre

Pour

Combines SQL, Python, and no-code in one notebook
AI assistance speeds up queries and analysis
Strong collaboration and sharing features
Polished dashboards and data apps out of the box

Contre

Requires a connected data warehouse to shine
Pricing can scale up for larger teams
Learning curve for non-technical users despite AI help

Avis

4.2

Moyenne sur 6 avis.

Connecte-toi pour laisser un avis.

Sanjay Gupta

Solid for our team

We rolled this out across the team last quarter and polished dashboards and data apps out of the box. SQL and Python in the same workflow fits neatly into how we already work, and interactive dashboards and data apps removed a step we used to do by hand. Learning curve for non-technical users despite AI help, which is the main caveat, but it has held up under daily use.

Wei Chen

Solid for our team

We rolled this out across the team last quarter and aI assistance speeds up queries and analysis. SQL and Python in the same workflow fits neatly into how we already work, and magic AI for natural-language data queries removed a step we used to do by hand. but it has held up under daily use.

Camille Laurent

Solid for our team

We rolled this out across the team last quarter and aI assistance speeds up queries and analysis. Magic AI for natural-language data queries fits neatly into how we already work, and magic AI for natural-language data queries removed a step we used to do by hand. Pricing can scale up for larger teams, which is the main caveat, but it has held up under daily use.

Robert Ainsworth

Does the job

Pretty happy overall. Integrations with major data warehouses just works and combines SQL, Python, and no-code in one notebook. Learning curve for non-technical users despite AI help can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Naomi Suzuki

Use it every day

Honestly didn't expect to like it this much. SQL and Python in the same workflow is exactly what I needed, and combines SQL, Python, and no-code in one notebook. I do wish pricing can scale up for larger teams, but I reach for it almost every day now and it just clicks.

Aisha Khan

Does the job

Pretty happy overall. Integrations with major data warehouses just works and aI assistance speeds up queries and analysis. Requires a connected data warehouse to shine can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.