Hex

認証済み

Collaborative data workspace with built-in AI

データエージェント

7.7 /10

フリーミアム

ウェブサイトへ

リリース

2019

国

United States

API

あり

自己ホスト

いいえ

資金調達

Series C

最終レビュー

2025-06

について Hex

Hex is a collaborative data science and analytics platform. It blends SQL, Python, drag-and-drop building, and an AI assistant (Magic) into shareable, interactive notebooks and apps. Teams connect to warehouses like Snowflake, BigQuery, and Databricks, build analyses and dashboards, and publish them as data apps for stakeholders. Hex's AI assistant helps write SQL, explain results, and generate charts, making it popular with modern data teams.

編集部の評価

A modern, collaborative data workspace — Hex stands out by turning SQL/Python analysis into shareable interactive apps, with AI smoothing the rough edges for data teams.

機能

SQL + Python notebooks

AI assistant (Magic)

No-code builder

Warehouse integration

Shareable data apps

Collaboration

詳細評価

使いやすさ

7.0

コストパフォーマンス

7.0

機能

9.0

サポート

7.0

パフォーマンス

8.0

総合評価

7.7 /10

メリット・デメリット

メリット

Powerful collaborative workspace
SQL + Python + no-code
AI-assisted analysis
Publishable data apps

デメリット

Learning curve for advanced features
Paid plan for serious use
Best with a data warehouse

ユースケース

Data explorationAnalytics engineeringReporting dashboardsData science

こんな人におすすめ

Data teams who want a collaborative workspace combining SQL, Python, no-code, and AI to build and share analyses as interactive data apps

#data-analysis#sql#python#collaboration#data-apps

料金プラン

Community

Free

Up to 3 editors
Public projects
Basic integrations
Community support

Team

$25 /user/month

Private projects
Scheduling
More integrations
Priority support

Enterprise

Custom

SSO/SAML
Advanced permissions
Audit logs
Dedicated support
SLA

よくある質問

Is Hex free?

Hex has a free Community plan for individuals. Team and Enterprise plans (from ~$25/user/month) add collaboration, sharing, scheduling, and warehouse integrations.

How does Hex compare to notebooks like Jupyter?

Hex adds collaboration, SQL + no-code alongside Python, one-click publishing to interactive data apps, and an AI assistant — making it more shareable and team-oriented than a standalone Jupyter notebook.