
Spotfire
A visual data science platform combining visual analytics, data science, and data wrangling.

The collaborative workspace for data science and analytics, combining notebooks, data apps, and AI assistance in one platform.

Hex is a modern, integrated environment that empowers data scientists and analysts to work with data using SQL, Python, and no-code approaches. It combines traditional data science notebooks with AI assistance, interactive data apps, and collaboration features. Hex facilitates exploratory data analysis, operationalizes insights through dashboards and reports, and enables data-informed decisions. With features like reactive execution, secure data connections (Snowflake, Redshift, BigQuery, S3), SQL support, no-code cells, and an AI assistant, Hex streamlines data workflows. It supports fast iteration, parameterization, and transparency, allowing technical stakeholders to explore underlying data and set up app notifications for informed decision-making. Hex accelerates time-to-insight and enables efficient data-driven organizations.
Hex is a modern, integrated environment that empowers data scientists and analysts to work with data using SQL, Python, and no-code approaches.
Explore all tools that specialize in ai-assisted coding. This domain focus ensures Hex delivers optimized results for this specific requirement.
Explore all tools that specialize in visualize data. This domain focus ensures Hex delivers optimized results for this specific requirement.
AI-powered notebooks that automate data analysis tasks, generate code, and provide insights using natural language.
Enables users to explore data and generate reports through natural language queries, without needing technical skills.
Automatically updates all dependent cells when a data source or parameter changes, ensuring consistent and up-to-date results.
Integrates with dbt's semantic layer to standardize metrics and analyses across the organization.
Offloads data processing to the underlying data warehouse, enabling users to handle datasets of any size.
Tracks changes to notebooks and data apps, allowing users to revert to previous versions and collaborate effectively.
1. Connect to your data warehouse (Snowflake, Redshift, BigQuery) or cloud storage (S3).
2. Create a new Hex project and choose between SQL, Python, or no-code cells to start your analysis.
3. Use SQL cells to query data directly from your connected data sources.
4. Utilize Python cells for advanced data transformations and modeling using libraries like Pandas and Scikit-learn.
5. Build interactive data apps using the drag-and-drop App builder.
6. Add input parameters to allow users to filter, group, and pivot data dynamically.
7. Publish your work as an interactive experience with defined permissions and commenting.
8. Schedule runs to automate report generation and data app updates.
All Set
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