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    Hex AI Analytics Platform

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    Sold by: Hex 
    Deployed on AWS
    Hex is the AI Analytics Platform that provides the power of AI without sacrificing governance or trust: a single, connected workspace where data practitioners run deep analysis, business users ask questions in plain language, and everyone collaborates on the same data. A shared context engine ensures every AI-generated insight is accurate and consistent.
    4.5

    Overview

    Hex is the AI analytics platform. Notion, Figma, and Cursor use it to enable everyone to ask questions and build things with data. Answers are based on a trusted, observable context engine. Anyone can ask a question in Hex, Slack, or their agent of choice via the Hex MCP server, and get an answer grounded in your business definitions, models, and dashboards. Data and AI leaders get the part most AI tools skip: visibility into what the organization is asking, whether the answers are right, and what context to improve so they get better. Hex works across warehouses and models, so you are not betting your data strategy on a single vendor.

    Highlights

    • Ask a question in plain language and get an answer grounded in your team's vetted definitions and models, not a guess from a general-purpose chatbot.
    • Real code, written by your team or any AI agent, all in one project you can review. Publish it as an app or dashboard without a separate hosting tool.
    • See every question your organization asks, check whether the answer was right, and improve the context behind it.

    Details

    Sold by

    Delivery method

    Deployed on AWS
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    Features and programs

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    Financing for AWS Marketplace purchases

    Pricing

    Hex AI Analytics Platform

     Info
    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

     Info
    Dimension
    Description
    Cost/12 months
    Enterprise Plan
    10 Editor Seats and 10 Viewer Seats
    $27,000.00

    Additional usage costs (1)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Additional platform utilization
    $1.00

    AI Insights

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    Dimensions summary

    This contract offers two pricing dimensions that work together. The Enterprise Plan is your base commitment, covering 10 Editor Seats and 10 Viewer Seats. Editor Seats let people build and analyze; Viewer Seats let people view results. The second dimension, Additional platform utilization, is a usage-based add-on. You draw on it when your team needs capacity beyond what the base plan includes. Together, the base plan sets your seat count, while additional utilization scales with extra consumption. You commit to the plan upfront and add utilization units as your needs grow.

    Top-of-mind questions for buyers

    An Editor Seat lets a person build and analyze data, write queries, and create apps. A Viewer Seat lets a person open and view published results without editing. The Enterprise Plan includes 10 of each, so 10 people can build and 10 can view.
    The Enterprise Plan covers your base seats and included capacity. Additional platform utilization applies when your team consumes beyond that included amount. It bills as usage-based units, so charges accrue only as extra consumption happens. Your base commitment stays fixed while utilization scales with actual use.
    The Enterprise Plan is a fixed base charge covering 10 Editor Seats and 10 Viewer Seats. Additional platform utilization varies with consumption above that base. For steady teams, the Enterprise Plan drives most of the cost. Utilization grows the bill only when usage exceeds included capacity. Both appear on the same invoice.
    hex.tech
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    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Email, live chat, priority SLA. support@hex.tech 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    25
    In Business Intelligence & Advanced Analytics, ML Solutions
    Top
    25
    In ML Solutions

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    1 reviews
    Insufficient data
    Insufficient data
    Insufficient data
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Natural Language Query Interface
    Ability to ask questions in plain language across Hex, Slack, or via the Hex MCP server and receive answers grounded in business definitions and models.
    Context Engine
    Shared context engine that ensures AI-generated insights are accurate and consistent by grounding answers in vetted definitions, models, and dashboards.
    Multi-Warehouse Compatibility
    Support for working across multiple data warehouses and models without dependency on a single vendor.
    Code-Based Analytics
    Real code execution capability written by teams or AI agents within a single project that can be reviewed, published as apps or dashboards without separate hosting infrastructure.
    Query Monitoring and Governance
    Visibility into organizational queries, answer validation, and context improvement tracking to ensure accuracy and governance of AI-generated insights.
    Multi-Language Support
    Supports Python, R, SQL, GraphQL, PySpark, and Markdown blocks with full interoperability between languages in the same project.
    Flexible Compute Options
    Provisioning of compute resources per task on demand including Lambda, Fargate, GPU, and Kubernetes with automatic release after task completion.
    Native Data Connectors
    Built-in connectors for Snowflake, PostgreSQL, MySQL, MariaDB, Hugging Face, and AWS Bedrock for direct integration without additional setup.
    Role-Based Access Control and Security
    RBAC, SSO, granular permissions, encrypted credential vault, and self-hosted deployment through CloudFormation with data and execution outputs stored in customer AWS account.
    Real-Time Collaborative Development
    Multiple users can simultaneously write and execute code in the same project with live change visibility, inline commenting, and GitHub integration for version control.
    Interactive Data Visualization
    Build sophisticated interactivity into data apps with dynamic user interfaces and shareable insights
    Python-Based Application Development
    Create production-grade data applications using Python as the primary programming language for analytics and AI workflows
    Customizable User Interface
    Customize visual elements and styling without requiring front-end code, maintaining application branding and appearance
    Advanced Security Features
    Implement advanced security mechanisms for protecting data insights and analytics at scale
    Automated Deployment and CI/CD
    Enable one-click deployment with automated continuous integration and continuous deployment pipelines, including embeddable data app capabilities

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    436 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    69%
    27%
    3%
    1%
    0%
    1 AWS reviews
    |
    435 external reviews
    External reviews are from G2  and PeerSpot .
    Anonymous

    Intuitive, Fast Dashboards—But Query Issues Need Earlier Alerts

    Reviewed on Nov 07, 2026
    Review provided by G2
    What do you like best about the product?
    I really like the visual side of Hex. It’s really easy to use and learn, and that the Hex agent is native to our codebase. It’s really fast to make changes or build dashboards with the agent, and I never have to teach it how things are stored or what fields to use. Setup was super duper easy; I became a Hexpert in no time, and it was super fun.
    What do you dislike about the product?
    I only find out when a query breaks once I’m in edit mode. I’d like flags on the app rather than just on the notebook.
    What problems is the product solving and how is that benefiting you?
    I use Hex to report on investor questions and turn that analysis into a dashboard my team can check every day.
    Goutham V.

    Fast, Polished Analytics with AI and evals maturing well

    Reviewed on Nov 05, 2026
    Review provided by G2
    What do you like best about the product?
    I find Hex easy to use, super quick, and good-looking. I get fast analysis and can share quickly, with things ready to present to clients. The setup is much better.
    What do you dislike about the product?
    I find Hex's evals pretty new and raw, and maybe they could be made easier to use.
    What problems is the product solving and how is that benefiting you?
    I use Hex to solve any data problem.
    Sara S.

    Quick Custom Dashboards That Bring Analyses to the Frontend

    Reviewed on Oct 28, 2026
    Review provided by G2
    What do you like best about the product?
    I can build custom dashboards for my stakeholders very quickly. As someone who is more familiar with notebook interfaces, it allows me to bring my analyses to a frontend without knowing how to build a UI from scratch
    What do you dislike about the product?
    Lack of version control - we have a few apps that are external-facing and I like to review what the app-view looks like before launching. I’d like to see a version control that includes dev, staging, production
    What problems is the product solving and how is that benefiting you?
    Custom interfaces and analyses tailored for our stakeholders.
    Orshi K.

    Best analytics reporting and data analysis tool

    Reviewed on Oct 28, 2026
    Review provided by G2
    What do you like best about the product?
    Fast queries and responsive reports. Easy UI for ad-hoc requests and analytics.
    What do you dislike about the product?
    Lacks of version control and app/notebook development in a staging/dev environment
    What problems is the product solving and how is that benefiting you?
    Data reporting to external stakeholders paired with results analysis
    Ahmer S.

    AI-Forward Accelerator for Zero-to-One Science & Engineering Breakthroughs

    Reviewed on Oct 28, 2026
    Review provided by G2
    What do you like best about the product?
    AI-forward accelerator for zero - one science and engineering initiatives to solve for world’s most challenging problem.
    What do you dislike about the product?
    Not much. Maybe industry specific, but would love to get more focus on industrial, scientific, and physical AI applications.
    What problems is the product solving and how is that benefiting you?
    Accelerated learning cycles for engineering, insight discovery, and co-building as we develop first-of-a-kind battery materials, reactors and factories to support a faster transition to clean energy at scale.
    View all reviews