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Hex
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FreemiumData AnalysisWeb App
Description:

Hex is an AI-powered analytics workspace designed for collaborative data exploration and business intelligence. It enables teams to query, visualize, and share insights faster through an integrated platform that combines SQL, Python, and no-code tools. With real-time collaboration features and interactive dashboards, Hex helps organizations make data-driven decisions efficiently while streamlining the entire analytics workflow from exploration to presentation.

Hex 1
Last update:
September 20, 2025
Website:
hex.tech
Contact email:
contact@hex.tech

Overview of Hex

Hex represents a modern approach to data analytics by providing a collaborative environment where teams can work together on data projects. This platform combines the flexibility of code-based analysis with the accessibility of visual tools, making it suitable for both technical data professionals and business users. The workspace integrates multiple data sources, analysis methods, and presentation capabilities into a single unified experience.

Teams using Hex benefit from real-time collaboration features that allow multiple users to work on the same project simultaneously. The platform supports various data workflows including Data Analysis, Collaboration Tool, and Business Intelligence applications. With built-in version control and publishing capabilities, Hex ensures that insights can be shared across organizations while maintaining data security and governance standards.

How to Use Hex

Getting started with Hex involves connecting your data sources through native connectors or standard database connections. Users can begin exploring data using SQL queries, Python notebooks, or the visual query builder depending on their technical comfort level. The platform provides templates and sample projects to help new users understand the workflow and capabilities available.

Collaboration happens naturally within Hex as team members can comment on specific cells, share entire projects, or publish interactive dashboards for stakeholders. The platform maintains a complete history of changes, allowing teams to track modifications and revert to previous versions when needed. Advanced users can leverage Python libraries for machine learning and statistical analysis while business users can interact with published dashboards without writing code.

Core Features of Hex

  • Multi-language support – Work with SQL, Python, and no-code tools in same environment
  • Real-time collaboration – Multiple users can edit and comment simultaneously
  • Interactive dashboards – Create shareable reports with filters and parameters
  • Data connectivity – Connect to databases, warehouses, and cloud services
  • Version history – Track changes and revert to previous project states
  • Publishing options – Share insights securely with internal or external stakeholders

Use Cases for Hex

Hex serves various industries including technology, finance, healthcare, and retail where data-driven decision making is crucial. Data science teams use Hex for exploratory analysis and model development, while business analysts create reports and dashboards for operational monitoring. Marketing teams leverage the platform for campaign analysis and customer segmentation studies.

Enterprises implement Hex for centralized analytics governance, ensuring that data practices remain consistent across departments. The platform supports use cases ranging from financial forecasting and operational reporting to customer analytics and performance tracking. Educational institutions and consulting firms also utilize Hex for teaching data skills and delivering client projects respectively.

Support and Contact

Hex provides comprehensive support through multiple channels including documentation, community forums, and direct assistance. Users can access help resources through the platform's knowledge base or contact the support team via contact@hex.tech for technical issues. The company maintains an active support portal with troubleshooting guides and best practices.

Company Info

Hex Technologies Inc. is headquartered in San Francisco, California. The company focuses on building modern data collaboration tools for enterprises and growing teams. Additional company information is available on their about page.

Login and Signup

New users can create an account through the signup page to start exploring the platform's capabilities. Existing users can access their workspace via the login portal using their credentials.

Hex FAQ

What types of data sources can Hex connect to?

Hex supports connections to various data sources including popular databases like PostgreSQL, MySQL, and Snowflake, cloud data warehouses such as BigQuery and Redshift, along with CSV file uploads and API integrations. The platform provides native connectors for most enterprise data systems and supports standard JDBC/ODBC connections for additional flexibility.

Does Hex require coding knowledge to use?

Hex is designed for both technical and non-technical users. While it supports advanced coding in SQL and Python for data professionals, it also offers no-code tools like visual query builders and drag-and-drop dashboard creation. Business users can interact with published dashboards without any coding requirements, making Hex accessible to diverse team members.

How does Hex handle data security and privacy?

Hex implements enterprise-grade security measures including SOC 2 Type II compliance, encryption at rest and in transit, role-based access controls, and audit logging. The platform allows administrators to manage user permissions granularly and ensures that sensitive data remains protected through various security protocols and compliance certifications.

Can multiple team members collaborate on the same Hex project?

Yes, Hex is built for real-time collaboration where multiple team members can work on the same project simultaneously. Users can see each other's cursors, leave comments on specific cells, and track changes through version history. The platform supports both synchronous and asynchronous collaboration patterns, making it ideal for distributed data teams working across different time zones.

What pricing options are available for Hex?

Hex offers several pricing tiers including a free plan for individual users, team plans for growing organizations, and enterprise solutions with advanced features. The platform uses a usage-based pricing model that scales with the number of users and compute resources required. Specific pricing details are available on their website with custom enterprise quotes available for larger deployments.

How does Hex compare to traditional BI tools?

Hex differs from traditional BI tools by combining code-based analysis with visual exploration in a single collaborative environment. Unlike static reporting tools, Hex enables interactive dashboards with parameterized inputs and supports both ad-hoc exploration and production-ready reporting. The platform's integration of Python and SQL with collaboration features provides a more flexible and modern approach to analytics compared to traditional BI solutions.

Hex Pricing

Current prices may vary due to updates

$0

Free Plan

The Free plan provides basic access for individual users with limited compute resources and storage. Includes core features for data exploration and visualization with support for standard data connectors. Suitable for personal projects and learning the platform capabilities without financial commitment.

Starts at $50/user/month

Team Plan

The Team plan offers advanced collaboration features, increased compute resources, and priority support. Includes enhanced security controls, custom branding, and administrative tools for managing multiple users. Designed for growing teams that require reliable performance and team management capabilities for production analytics workloads.

Custom pricing

Enterprise Plan

The Enterprise plan provides full-scale deployment with dedicated infrastructure, custom SLAs, and enterprise-grade security compliance. Includes advanced features like single sign-on, audit logging, custom connectors, and dedicated customer success management. Tailored for large organizations with complex data governance requirements and high-volume analytics needs.

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