Skip to main content

SaaS tool guide

Metabase vs Hex vs Mode 2026

Metabase vs Hex vs Mode in 2026: BI dashboards, notebooks, SQL workflows, embedded analytics, pricing, and which fits your data team and stack.

·StackFYI Team
Share:

The "modern BI" tier — sitting between Looker/Power BI on the enterprise side and Excel on the long-tail side — has consolidated meaningfully in 2024–2026. The three names that come up in almost every data-team eval are Metabase, Hex, and Mode. They overlap on dashboards but were built around different bets: Metabase on accessibility, Hex on collaborative SQL + Python notebooks, and Mode on analyst workflows.

This guide covers the meaningful differences and what to pick at different team sizes.

Quick Verdict

  • Pick Metabase if you want broad self-serve dashboards, are price-sensitive, or want a self-hosted option. Best for sub-50-person companies and embedded use cases.
  • Pick Hex if your data team writes SQL and Python, runs collaborative analyses, and wants a single tool for exploration and dashboards. The clear modern leader for analyst-driven shops.
  • Pick Mode if you have an established analytics workflow built around SQL + R/Python notebooks and want strong publishing tools. (Acquired by ThoughtSpot in 2023; product roadmap is more uncertain.)

Key Takeaways

  • Metabase remains the most cost-effective BI in the category — open-source core (self-hostable) plus a Pro and Enterprise SaaS tier. Used by ~70K+ companies.
  • Hex's notebook-first model (cells, magic dataframes, SQL + Python in one canvas) became the default for analyst-driven companies between 2022 and 2025. AI features (Hex Magic / Hex Notebook AI) are best-in-class for analyst workflows.
  • Mode pioneered collaborative SQL notebooks but lost momentum after the ThoughtSpot acquisition. Roadmap velocity has slowed; many existing customers have migrated to Hex.
  • AI features (natural language → SQL, automated insights, summary generation) are now standard. Hex's are clearly the most useful in 2026; Metabase's are catching up; Mode's lag.
  • All three publish dashboards, embed in apps, and integrate with major warehouses (Snowflake, BigQuery, Databricks, Postgres).

Decision Map

SituationPick
5–30 employees, want self-serve dashboards fastMetabase
Self-hosted requirement (data residency / cost)Metabase OSS
Embedded analytics in your SaaS productMetabase
Analyst team writing daily SQL + PythonHex
Building exploratory data productsHex
Heavy R or Python notebook workflowsHex or Mode
Already using Mode, no friction yetMode (with caution on roadmap)
Marketing/ops team is the primary userMetabase

Quick Comparison

FeatureMetabaseHexMode
DashboardsYesYesYes
Notebooks (SQL + Python/R)Limited (newer)BestYes
AI featuresMetabot AIHex Magic / Notebook AIHelix
Self-hosted optionYesNoNo
Embedded analyticsBest (white-label)Yes (newer)Yes
Free tierOSS free; Cloud free trial14-day trial; free Personal14-day trial
Starting paid price$85/mo (Cloud Starter)$35/user/moCustom
Best forSelf-serve, embedded, SMBAnalyst-driven companiesExisting Mode customers

Metabase

Metabase is the most-used BI tool you've never heard of in board decks. The OSS edition is free, deploys in 10 minutes, and covers 80% of the use case. The hosted Cloud tier and Enterprise tier add SSO, data sandboxing, white-label embedding, and audit logs — meaningful for serious deployments but not needed for early-stage companies.

What's strong: Free OSS edition. Best embedded analytics in the category — the white-label, multi-tenant story is real. Metabot AI (natural language → SQL) is improving fast. Lowest TCO for SMB and startup deployments.

What's weak: Notebook / collaborative analysis features lag Hex. Performance on very large datasets requires careful tuning. Some enterprise admin features (granular permissions, lineage) lag Looker.

Pricing: OSS free. Cloud Starter $85/month (5 users). Pro $500/month (10 users). Enterprise quote-only — typical $30K–$80K/year for mid-market.

Hex

Hex is the most innovative data tool of the last five years. The notebook-first canvas (SQL cell + Python cell + Markdown + chart cell, all in one document) genuinely changed how data teams work. By 2026 Hex Notebook AI is the strongest AI assistant in the BI category — it understands schema, writes correct SQL, debugs errors, and summarizes findings credibly.

What's strong: Best collaborative analyst workflow. Strong dbt integration. Hex Magic (AI) writes useful SQL and Python. Beautiful data apps. Deep notebook + dashboard duality.

What's weak: Pricing is per-user and adds up at scale. Less suited to non-technical business users — Metabase is friendlier for marketing or ops teams that don't write SQL. Embedded story is newer.

Pricing: Free (Personal). Team $35/user/month. Professional $135/user/month. Enterprise custom. Most data teams land on Team or Professional.

Mode

Mode was the first tool to combine SQL workspace, Python/R notebooks, and dashboards in one product. It was acquired by ThoughtSpot in 2023, and the product roadmap has been less aggressive since. Existing Mode shops still get value, but new evaluations rarely choose Mode over Hex unless ThoughtSpot's broader analytics suite is also being purchased.

What's strong: Strong publishing/dashboard story. Solid SQL workspace. Helix AI (post-acquisition) is improving. Tight ThoughtSpot integration (search-driven analytics) for ThoughtSpot customers.

What's weak: Roadmap velocity has slowed. UX has aged. Pricing is opaque. Migrating off Mode is now common — most teams choose Hex.

Pricing: Quote-only. Mid-market deployments typically $20K–$60K/year. Free tier exists but is limited.

Pricing Reality Check

For a 50-person company with a 5-person data team:

PlatformAnnual Cost (typical)
Metabase OSS (self-hosted)$0 + ~10% data engineer time
Metabase Cloud Pro~$6K
Hex Team (5 users + viewers)~$15K–$25K
Hex Professional~$50K–$80K
Mode$20K–$60K

Metabase is the value pick by a wide margin. Hex is worth its premium when the data team will use the notebook canvas every day.

Embedded Analytics: Metabase Wins

If you're embedding dashboards into a SaaS product (multi-tenant, white-label), Metabase is the clear choice. The embedded SDK, white-label support, data sandboxing, and Pro pricing are designed for this use case. Hex has improved here in 2024–2025 but still trails. Mode is rarely chosen for embedded work in 2026.

Who Should Choose What

Solo founder / 5-person startup: Metabase OSS, self-hosted on a small VM. Free, covers everything you need.

20–50 person startup, marketing/ops dashboards: Metabase Cloud Pro. Self-serve, friendly UX.

Data team of 3+ analysts: Hex. The notebook workflow + collaboration genuinely makes the team more productive.

Embedded analytics in a SaaS product: Metabase Enterprise. Best embedded story in the category.

Already on Mode and happy: Stay, but plan a migration eval in 12 months.

ThoughtSpot enterprise customer: Mode (bundled).

Common 2026 Pattern

Many companies run Metabase for self-serve dashboards + Hex for analyst exploration and ad-hoc analyses. The duplicate cost is real but the audience separation is meaningful — non-technical users live in Metabase, the data team lives in Hex, and dashboards from Hex eventually graduate to Metabase for business consumption.

Verdict

Hex is the right default for analyst-driven companies in 2026. The notebook canvas + AI assistant is the most productive data workflow available. Metabase is the right default for everything else — startups, SMBs, embedded use cases, and any team where most users don't write SQL. Mode is no longer a default recommendation, though existing customers needn't rush to migrate.

The combined Metabase + Hex stack covers most company needs at meaningfully lower cost than a Looker or Tableau enterprise deployment, with comparable depth for sub-1,000-employee companies.

Explore this tool

Find hexon StackFYI →

The SaaS Tool Evaluation Guide (Free PDF)

Feature comparison, pricing breakdown, integration checklist, and migration tips for 50+ SaaS tools across every category. Used by 200+ teams.

Join 200+ SaaS buyers. Unsubscribe in one click.