AI-powered collaborative data workspace
Hex is an AI-native data science and analytics platform that combines collaborative notebooks, a powerful visual data exploration interface, and deeply integrated AI agents. Designed for modern data teams, Hex enables seamless work across SQL, Python, and R while leveraging AI to accelerate every step of the analytical workflow.
Key Capabilities
Hex features the Notebook Agent and Magic AI, which automate code generation, debugging, statistical summaries, and exploratory analysis across SQL, Python, and R. Users can ask questions in plain language and receive AI-generated analyses, charts, and code. The platform includes reactive notebooks with drag-and-drop visualization, real-time collaboration, scheduled runs, parameterized inputs, and the ability to publish notebooks as interactive data apps. GPU compute options support machine learning workloads.
Who Should Use Hex
Hex is built for data teams at growth-stage and enterprise companies that want a modern, AI-enhanced notebook experience. It suits data scientists who need collaborative notebooks with AI assistance, data analysts who want to go beyond dashboards into code-based analysis, and teams that need to share interactive data applications with business stakeholders.
Getting Started
Sign up for the free Community plan at hex.tech to start exploring with individual notebooks. Connect your cloud data warehouse and begin writing SQL or Python queries with AI assistance. Upgrade to Team or Enterprise plans for collaboration features, advanced compute, and organizational controls.
Pricing & Accessibility: The Community plan is free for individual use. Paid plans use per-editor pricing with Team and Enterprise tiers. Advanced compute (larger machines, GPUs) and AI features use pay-as-you-go pricing. Medium compute is included in all paid plans.
Why Consider Hex: Hex represents the next generation of data science notebooks, with AI agents deeply integrated into the workflow rather than bolted on. Its ability to transform notebooks into interactive data apps makes it uniquely valuable for teams that need to bridge analysis and communication.
Pros
- Deeply integrated AI agents automate code generation and exploratory analysis
- Seamless combination of SQL, Python, and R in reactive notebooks
- Notebooks can be published as interactive data apps for stakeholders
- Real-time collaboration enables data teams to work together effectively
- Pay-as-you-go compute model including GPU options for ML workloads
Cons
- Pay-as-you-go pricing for compute and AI can lead to unpredictable costs
- Steeper learning curve for teams new to notebook-based workflows
- Free Community plan limited to individual use without team features
Who is this for?
Collaborative data science and analysis, building interactive data applications, AI-assisted exploratory data analysis, SQL and Python-based business analytics, machine learning prototyping and model development
Frequently Asked Questions about Hex
How does Hex's AI differ from other notebook tools?
Hex's AI agents (Notebook Agent and Magic AI) are deeply integrated into the notebook workflow, capable of generating entire analyses from plain language questions, writing and debugging code in SQL/Python/R, creating visualizations, and providing statistical summaries. The AI works contextually with your data rather than as a separate chat interface.
Can I share Hex notebooks with non-technical stakeholders?
Yes, Hex notebooks can be published as interactive data apps with parameterized inputs, allowing business stakeholders to explore data through a polished interface without seeing the underlying code.
What data sources does Hex connect to?
Hex connects to major cloud data warehouses including Snowflake, BigQuery, Databricks, Redshift, and PostgreSQL, as well as file uploads and APIs. It queries data directly in your warehouse for optimal performance.
Pricing
freemium
Free (Team: per-editor pricing)
Free tier: Community plan for individual use with basic compute
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesEnglish
Learning CurveModerate
Integrations
SnowflakeBigQueryDatabricksRedshiftPostgreSQL+3 more
