{
  "slug": "mode",
  "name": "Mode",
  "description": "Mode is a collaborative analytics platform that combines a SQL editor, Python/R notebooks, and interactive data visualization. It is designed to bridge the gap between technical data science workflows and business-ready reporting.",
  "url": "https://optimly.ai/brand/mode",
  "logoUrl": "https://logo.clearbit.com/https://mode.com",
  "baiScore": 72,
  "archetype": "Challenger",
  "category": "Software",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "deepnote",
      "name": "Deepnote"
    },
    {
      "slug": "hex",
      "name": "Hex"
    },
    {
      "slug": "looker-google-cloud",
      "name": "Looker Google Cloud"
    },
    {
      "slug": "thoughtspot",
      "name": "ThoughtSpot"
    }
  ],
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "thoughtspot",
    "name": "ThoughtSpot"
  },
  "subBrands": [],
  "updatedAt": "2026-04-09T22:31:50.64+00:00",
  "verifiedVitals": {
    "website": "https://mode.com",
    "founded": "2013",
    "headquarters": "San Francisco, California",
    "pricing_model": "Subscription-based (Free, Business, and Enterprise tiers)",
    "core_products": "Mode Analytics Platform, SQL Editor, Python & R Notebooks, Visual Explorer, Mode Helix (Data Engine)",
    "key_differentiator": "Unlike legacy BI tools, Mode provides a unified workflow where analysts can switch between SQL, Python, and visual design in a single browser-based environment.",
    "target_markets": "Data-heavy technology companies, FinTech, E-commerce, and Enterprise data teams.",
    "employee_count": "Not publicly available",
    "funding_stage": "Not publicly available",
    "subcategory": "Business Intelligence & Data Science"
  },
  "intentTags": {
    "problemIntents": [
      "Manual SQL & Spreadsheet Analysis: Using SQL IDEs, Excel, and local Python notebooks to manually generate reports and charts.",
      "Data Analytics Agencies: Hiring an external data consultancy to build out dashboards and run ad-hoc analysis."
    ],
    "solutionIntents": [
      "best SQL editor for data teams",
      "collaborative python notebooks for business intelligence",
      "cloud BI with SQL and R support",
      "enterprise self-service analytics platforms",
      "Legacy BI Tools: Standardizing on visualization-first tools like Tableau or PowerBI that may lack deep SQL/Python flexibility."
    ],
    "evaluationIntents": [
      "Mode vs Looker for analytics"
    ]
  },
  "timestamp": 1777654893297
}