Analytics & Reporting

    Hex Review

    Modern data workspace combining notebooks, spreadsheets, AI-native features, and collaborative dashboards — the tool for data teams that want notebook flexibility with spreadsheet accessibility.

    Hex at a glance

    Data science and analytics teams doing exploratory work
    Data-heavy RevOps orgs with SQL + Python fluency
    Companies whose analytics motion spans exploratory + production dashboards
    Teams that value AI-augmented analysis inside the notebook
    01

    The RevenueHoop take on Hex

    Hex is the modern data workspace that combines the best of Mode (notebooks) and Equals (spreadsheets) into one platform, with AI-native features layered on top. For data teams that want the flexibility of code + the accessibility of spreadsheets + AI-augmented analysis, Hex is often meaningfully better than either Mode or Equals standalone. The tradeoff: Hex assumes some technical fluency, so it doesn't fit non-technical RevOps teams as cleanly as Equals does.

    02

    Best for

    • Data science and analytics teams doing exploratory work
    • Data-heavy RevOps orgs with SQL + Python fluency
    • Companies whose analytics motion spans exploratory + production dashboards
    • Teams that value AI-augmented analysis inside the notebook
    • Any team where "notebook + spreadsheet + AI in one tool" is the ideal architecture
    03

    When to use it

    Use Hex when your team's analytics work spans multiple modalities — notebooks for exploratory SQL and Python, spreadsheets for tabular data manipulation, dashboards for sharing. Hex handles all three in one workspace, and the AI-native features (Copilot for SQL, natural language queries) genuinely accelerate the workflow.

    Hex also earns its place as the modern alternative for teams currently on Mode — same category, more modern UX, better AI integration, competitive pricing.

    04

    When NOT to use it

    Skip Hex if your analysts are pure spreadsheet-first — Equals fits that mental model better. Skip it if you need enterprise semantic modeling; Looker's LookML architecture is more purpose-built for governed enterprise BI.

    For pure financial modeling, Causal fits better. For traditional enterprise visualization, Tableau is more mature.

    05

    Pros and cons

    Pros

    • Best-in-class hybrid notebook + spreadsheet UX
    • AI-native features (SQL Copilot, natural language queries)
    • Native SQL + Python support
    • Beautiful collaborative dashboards
    • Fast product velocity from a modern team
    • Fair pricing for data teams

    Cons

    • Requires some technical fluency (not for pure spreadsheet users)
    • Enterprise semantic modeling trails Looker
    • Vendor stability less established than Mode
    • Deep dashboarding features trail Tableau
    • Learning curve for the notebook + spreadsheet combo
    06

    Hex vs. the alternatives

    Hex against the notebook-first, spreadsheet-first, and enterprise BI alternatives.

    Primary UX

    Hex
    Notebook + spreadsheet hybrid ✅
    Mode
    Notebook
    Equals
    Spreadsheet
    Looker
    Semantic model

    Best for

    Hex
    Modern data teams
    Mode
    Data teams (notebook-first)
    Equals
    RevOps analytics
    Looker
    Enterprise BI

    AI-native features

    Hex
    Best ✅
    Mode
    Growing
    Equals
    Basic
    Looker
    Basic

    SQL + Python support

    Hex
    ✅
    Mode
    ✅
    Equals
    SQL only
    Looker
    LookML

    Best stage

    Hex
    Series B-C
    Mode
    Series B-C
    Equals
    Series A-C
    Looker
    Series C+ / Enterprise

    Learning curve

    Hex
    Moderate
    Mode
    Moderate
    Equals
    Low
    Looker
    Steep

    RH pick?

    Hex
    Data science teams ✅
    Mode
    Notebook-first analysts ✅
    Equals
    RevOps default ✅
    Looker
    Enterprise BI ✅
    07

    The RevenueHoop opinion

    Hex is the tool we recommend to data teams whose alternative is "I'm using Mode but the UX feels dated" or "I'm using Jupyter but I want collaboration built in." The hybrid architecture is genuinely useful — analysts move between notebook mode and spreadsheet mode without changing tools, and the AI-native features accelerate the workflow. For most Series B-C data teams evaluating BI tools, Hex should be on the shortlist alongside Mode.

    — Written by the RevenueHoop team. Last updated July 2026.

    09

    Hex FAQ

    Modern data workspace combining notebooks, spreadsheets, AI-native features, and collaborative dashboards — the tool for data teams that want notebook flexibility with spreadsheet accessibility. Hex is the modern data workspace that combines the best of Mode (notebooks) and Equals (spreadsheets) into one platform, with AI-native features layered on top. For data teams that want the flexibility of code + the accessibility of spreadsheets + AI-augmented analysis, Hex is often meaningfully better than either Mode or Equals standalone. The tradeoff: Hex assumes some technical fluency, so it doesn't fit non-technical RevOps teams as cleanly as Equals does.

    RevenueHoop

    Data team looking for a modern BI workspace?

    30 minutes with us and you'll know whether Hex, Mode, or a spreadsheet-based alternative fits your team's analytics workflow and technical fluency.