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Hex

Freemium

Platform enabling teams to ask questions and build with data through agentic data notebooks, interactive dashboards, and generative data apps without complexity or high costs.

Hex TechnologiesLaunched 2020-06-01

About Hex

Hex blends SQL, Python, and AI into one collaborative notebook for analysts and data scientists. Magic AI turns prompts into queries and visualizations. Hex stands out for agentic data notebooks, conversational self-serve analytics, interactive dashboards and apps, and generative data app creation. Teams pick it because sql + python + magic in one place and excellent collaboration. Things to keep in mind: expensive at team scale.

Hex is a freemium tool from Hex Technologies and launched on 2020-06-01. It sits in the Research and Coding space and is best used to Self-serve data analysis for non-technical team members, Building interactive dashboards and published data apps, Automating manual data work and analysis.

Pricing

Pricing model
Freemium subscription
Currency
USD
Payment options
Monthly
CommunityFree
Free
  • Hex agent trial
  • Connect any data source
  • Build with all cell types
  • Small compute
Professional$36/mo per Editor
Monthly
  • Hex agent Standard credits
  • Up to 5 published apps
  • 30-day version history
  • Medium compute
Team$75/mo per Editor
Monthly
  • Extended credits
  • Unlimited published apps
  • Visual exploration and drill down
  • Unlimited version history
  • Scheduled runs and alerts
  • Shared components
  • Shared collections
  • Advanced compute add-ons
EnterpriseCustom
Custom
  • Explorer seat add-on
  • Audit logs
  • Premium credits
  • OAuth database connections
  • Observability API
  • OIDC SSO
  • Bring Your Own Key (BYOK)
  • Single tenant add-on

Features

  • •
    Agentic data notebooks
    Built-in support for agentic data notebooks — used for self-serve data analysis for non-technical team members.
  • •
    Conversational self-serve analytics
    Built-in support for conversational self-serve analytics — used for self-serve data analysis for non-technical team members.
  • •
    Interactive dashboards and apps
    Built-in support for interactive dashboards and apps — used for self-serve data analysis for non-technical team members.
  • •
    Generative data app creation
    Built-in support for generative data app creation — used for self-serve data analysis for non-technical team members.
  • •
    SQL and Python cell support
    Built-in support for sql and python cell support — used for self-serve data analysis for non-technical team members.
  • •
    Data source connectivity
    Built-in support for data source connectivity — used for self-serve data analysis for non-technical team members.
  • •
    Scheduled runs and alerts
    Built-in support for scheduled runs and alerts — used for self-serve data analysis for non-technical team members.
  • •
    Version history and collaboration
    Built-in support for version history and collaboration — used for self-serve data analysis for non-technical team members.

Pros

  • SQL + Python + Magic in one place
  • Excellent collaboration
  • Strong charting

Cons

  • Expensive at team scale
  • Heavy for tiny one-off analyses
  • Some Python libs not pre-installed

AI Models used

The foundation models that power Hex under the hood.

OpenAI GPT-4OpenAI

Powers natural language to SQL conversion and AI-assisted data analysis queries within the workspace.

OpenAI GPT-4 VisionOpenAI

Enables image understanding for data visualization interpretation and chart analysis features.

Hex Proprietary ModelsHex

Custom in-house models optimized for data transformation suggestions and contextual code generation specific to data workflows.

Categories

Research
Coding
Analytics
Data Visualization
Business Intelligence
AI Tools

Best use cases

Self-serve data analysis for non-technical team members
Building interactive dashboards and published data apps
Automating manual data work and analysis
Enabling engineers to self-serve data queries
Embedding analytics where teams work
Ad-hoc analysis converted to published data apps

Frequently Asked Questions

General

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