Hex alternatives (2026): 8 modern BI tools compared for AI, semantic layers, and easier setup

Hex is strong at notebook-style analysis and polished data apps, but teams leave it for three reasons: the per-editor bill grows fast once a whole team wants to publish, non-technical users find the notebook surface intimidating, and small companies do not need a full data science IDE just to build a dashboard. If you are shopping for a Hex alternative in 2026, the eight tools that come up most in buyer conversations are Basedash, Sigma, Omni, Mode, Metabase, Preset (managed Apache Superset), Lightdash, and Evidence. Each one solves a different subset of what Hex does. This guide compares them on pricing, AI features, semantic modeling, ease of use for non-technical stakeholders, and how each one connects to a modern data warehouse. Prices are verified from every vendor’s public pricing page in September 2026.

Quick take

• Cheapest way off Hex if your team is mostly business users: Metabase (open source or $90/month Cloud Starter), Basedash (flat $1,000/month for up to 25 users including AI credits).
• Closest replacement for Hex’s notebook + polished app pattern: Mode (SQL, Python, R notebooks with reports on top) and Preset (Apache Superset with a paid layer for scheduling and governance).
• Best if you want a proper semantic layer without dbt: Omni (spreadsheet-first modeling with an AI-friendly semantic model), Sigma (workbooks against warehouse tables with governed metrics).
• Best if you already run dbt: Lightdash (dbt-native BI, metrics come from your .yml files).
• Best code-first, git-versioned dashboards: Evidence (Markdown + SQL, deploys as a static site).
• AI-first with an MCP server for Claude, Cursor, and other clients: Basedash and Omni.

The single question that decides most of this: does your team actually want notebooks, or do they want dashboards and a chat box? Hex is priced and designed for the first. If it is the second, most of the alternatives here are cheaper and faster to roll out.

How we evaluated

The prompts real buyers run when they are looking for a Hex alternative (“build me a list of Hex alternatives”, “Hex vs Sigma which is better for non-technical users”, “Hex vs Omni for startup data teams”, “Hex vs Metabase for a small engineering team”, “we’re moving off Hex because of cost, should we go with Sigma or Omni”, “BI platforms with row-level security and real-time refresh”, “cloud-native BI tool with embeddable dashboards and good governance”) all come back to the same six criteria. We built the comparison around them.

1. Pricing model and starting price. Per-editor seat, pure usage, or flat platform fee. What you actually pay for a five-person team on year one.
2. AI features. Natural language chat, AI chart or dashboard generation, MCP server support, and how the AI is billed.
3. Semantic modeling. Whether the tool has a first-class semantic layer, and whether it pulls definitions from dbt or defines them itself.
4. Ease of use for non-technical users. Notebook, workbook, spreadsheet, or dashboard-first surface. How quickly a PM or ops manager can answer a question without writing SQL.
5. Row-level security, SSO, and governance. SAML SSO, SCIM, RLS enforcement, and whether these are gated behind an enterprise contract.
6. Embedding. Iframe versus SDK versus API, and whether it is available outside enterprise pricing.

Tools included had to (a) connect directly to a cloud warehouse (Snowflake, BigQuery, Redshift, Databricks, Postgres, ClickHouse) with no mandatory ETL step and (b) plausibly replace at least the dashboarding and self-serve exploration parts of what teams use Hex for. Pure notebook environments without a publish-and-share surface (Jupyter, Deepnote, Marimo alone) are outside the shape of this guide.

Comparison table

Pricing verified against each vendor’s public pricing page and documentation on 2026-09-21: Basedash, Sigma, Omni, Mode, Metabase, Preset, Lightdash, and Evidence. Sigma, Omni, and Mode do not publish list prices in 2026 and require a sales conversation.

Basedash

Best for: Teams leaving Hex because a 10-editor bill was in the four figures and only two people ever wrote a notebook. AI-first analytics on your warehouse with a predictable monthly price.

Fact card

• Pricing model: flat platform fee (Startup plan is $1,000/month for up to 25 users) with a $1,000/month AI credit pool included. Enterprise is a custom annual contract with self-hosting, SSO, and SCIM. Verified at basedash.com/pricing on September 21, 2026.
• Free trial: 14-day trial on the Startup plan.
• Deployment: cloud by default, self-hosting on Enterprise.
• Databases: Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, ClickHouse, MotherDuck, MongoDB, and 750+ sources at basedash.com/data-sources.
• Query model: live queries against your warehouse, plus an optional cached Basedash Warehouse on DuckDB for aggregates.
• Row-level security, SSO, SCIM: native RLS, SAML SSO and SCIM on Enterprise.
• AI features: natural language chat, AI dashboard generation, an MCP server so Claude, Cursor, and other MCP clients query the same data, and Slack answers.
• Embedding: dashboard embedding on Enterprise.
• Best for: 5-to-25-person teams that want dashboards, ad-hoc questions, and AI in one tool without a data engineer.
• Not ideal for: teams whose primary workflow really is Python or R notebooks with heavy statistical work.

Tradeoffs

Basedash replaces the dashboard and chat parts of Hex, not the notebook part. If your data scientists genuinely live inside .ipynb files training models, keep something notebook-native for them and use Basedash for the reporting surface everyone else touches. The flat price is predictable, but a very quiet month still pays for the same envelope; and self-hosting is Enterprise-only.

Sigma

Best for: Teams that liked Hex’s warehouse-native model but want a spreadsheet-in-browser instead of a notebook, with governance for finance and ops.

Fact card

• Pricing model: per-user tiers (Viewer, Explorer, Creator) with usage credits for input tables, exports, and integrations. Sigma does not publish list prices; contact sales.
• Free trial: 14-day free trial.
• Deployment: cloud only, single-tenant available on enterprise.
• Databases: Snowflake, BigQuery, Redshift, Databricks, Postgres, and other warehouses over direct connections.
• Query model: live queries against the warehouse; input tables and materializations are metered.
• RLS, SSO, SCIM: native row-level security via workbook controls and user attributes; SAML SSO and SCIM on paid tiers.
• AI features: Sigma AI for natural language questions, chart generation, and formula help.
• Embedding: embedded analytics with signed URLs and iframe or JavaScript API.
• Best for: finance, ops, and RevOps teams that want spreadsheet formulas on governed warehouse data.
• Not ideal for: teams that want a free tier before signing a contract, or that prefer open-source infrastructure.

Tradeoffs

Sigma is the most spreadsheet-like tool in this list, which is exactly what non-technical stakeholders often want and exactly what Hex is not. The tradeoff is that pricing is opaque and slanted toward enterprise deals. Small teams that liked Hex’s self-serve Community plan will feel the friction of “book a call to see the price.”

Omni

Best for: Teams that want a semantic layer as the foundation and AI on top of it, without committing to Looker’s licensing or LookML.

Fact card

• Pricing model: per-user with a platform fee. Omni does not publish list prices; contact sales.
• Free trial: sales-led POC.
• Deployment: cloud only.
• Databases: Snowflake, BigQuery, Databricks, Redshift, Postgres, MySQL, Trino, ClickHouse, MotherDuck, SQL Server.
• Query model: live queries with a branchable semantic model.
• RLS, SSO, SCIM: row-level security through the semantic layer, SAML SSO on paid tiers.
• AI features: chat, agents, auto-summarize, and an MCP server for connecting external AI clients.
• Embedding: SSO embedding, APIs, and MCP server for putting analytics in another product.
• Best for: 10-to-100-person teams that want spreadsheets, dashboards, and AI on the same governed model.
• Not ideal for: teams that want transparent pricing without a sales conversation, or that need a rich Python notebook.

Tradeoffs

Omni’s semantic layer is the piece Hex customers most often say they missed. If your problem was “we could not get consistent metrics across notebooks,” Omni is a clearer answer than staying in Hex. If your problem was cost, Omni is not obviously cheaper than Hex Team; it is a different architecture.

Mode

Best for: Teams whose main use of Hex was SQL-plus-Python notebooks with polished reports on top, and who are already comfortable in the ThoughtSpot ecosystem.

Fact card

• Pricing model: quote only. Mode is now part of ThoughtSpot; pricing is by sales conversation.
• Free trial: available through ThoughtSpot’s trial process.
• Deployment: cloud.
• Databases: Snowflake, BigQuery, Redshift, Databricks, Postgres, and other cloud warehouses.
• Query model: live warehouse queries; Helix in-memory engine for interactive filtering on report data.
• RLS, SSO, SCIM: SAML SSO and SCIM on Enterprise; row-level security via query parameterization or warehouse-side rules.
• AI features: Mode AI Assist; ThoughtSpot Sage and Spotter available through the broader ThoughtSpot platform.
• Embedding: white-label embedded reports, available on higher tiers.
• Best for: analytics teams that want SQL notebooks, R, Python, and shared reports on the same platform.
• Not ideal for: teams that want a self-serve free tier or a spreadsheet-style UI for business users.

Tradeoffs

Mode is the most notebook-native tool on this list, which is either the reason to pick it or the reason to skip it. Since the ThoughtSpot acquisition, roadmap momentum has shifted toward the ThoughtSpot suite; buyers should confirm with sales what is actively developed on Mode itself versus the broader platform.

Metabase

Best for: Small teams that want to get off Hex fast, keep the bill low, and let non-technical users build their own charts.

Fact card

• Pricing model: per-user tiers on Cloud, or self-host the free open-source edition. Cloud Starter is $90/month for 5 users; Pro and Enterprise scale from there. Verified at metabase.com/pricing on September 21, 2026.
• Free trial: 14-day Cloud trial; open-source Metabase is free forever.
• Deployment: cloud, self-host.
• Databases: 20+ including Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, ClickHouse, MongoDB.
• Query model: live queries against the source, with an optional model cache.
• RLS, SSO, SCIM: sandboxes and per-group data permissions on Pro and Enterprise; SAML SSO and JWT SSO on Pro+.
• AI features: Metabot AI on Pro and Enterprise.
• Embedding: static and interactive embedding on Pro and Enterprise.
• Best for: teams under 25 people who want a friendly point-and-click question builder and a real free option.
• Not ideal for: teams that need a rich semantic layer, notebook-style analysis, or advanced governance out of the box.

Tradeoffs

Metabase is the pragmatic answer for most small teams leaving Hex. It does not have a notebook, its AI is only on paid tiers, and RLS is behind Pro; but the price, the open-source option, and the low-friction UI are hard to beat.

Preset (managed Apache Superset)

Best for: Teams that want the flexibility and chart library of Apache Superset without running it themselves.

Fact card

• Pricing model: per-user on Preset Cloud (Professional $20/user/month); Apache Superset is free and self-hosted. Verified at preset.io/pricing on September 21, 2026.
• Free trial: free Preset workspace, Superset OSS free forever.
• Deployment: cloud (Preset), self-host (Superset).
• Databases: 40+ SQL databases via SQLAlchemy connectors.
• Query model: live queries; Superset caching layer for repeat queries.
• RLS, SSO, SCIM: row-level security rules in Superset apply to Postgres and warehouse queries; SAML SSO on Enterprise.
• AI features: community plugins; no first-party AI copilot in 2026.
• Embedding: Preset Embedded SDK on Enterprise.
• Best for: engineering-led teams that want open-source foundations, dozens of chart types, and SQL Lab for exploration.
• Not ideal for: teams that want AI as the primary interface, or non-technical users who dislike dropdown-heavy chart builders.

Tradeoffs

Preset gives you Superset without the operational burden. It is the strongest open-source-leaning alternative to Hex, especially if you liked SQL Lab, but its AI story is thin compared to Basedash, Omni, or Sigma today.

Lightdash

Best for: Teams that already run dbt and want their BI tool to inherit metrics and dimensions directly from .yml files.

Fact card

• Pricing model: per-user on Cloud (Starter $490/month) or self-host the open-source edition. Verified at lightdash.com/pricing on September 21, 2026.
• Free trial: 14-day Cloud trial; self-hosted is free forever.
• Deployment: cloud, self-host.
• Databases: Snowflake, BigQuery, Redshift, Databricks, Postgres, Trino, and other dbt-supported warehouses.
• Query model: live queries against the warehouse, generated from your dbt project.
• RLS, SSO, SCIM: user attributes map to dbt filters; SAML SSO on higher tiers.
• AI features: Lightdash AI for chart generation on Cloud.
• Embedding: dashboard and chart embedding on higher tiers.
• Best for: analytics engineering teams that treat dbt as the source of truth for metrics.
• Not ideal for: teams that do not use dbt, or that want a spreadsheet or notebook surface for exploration.

Tradeoffs

If dbt runs your business logic, Lightdash is the tightest fit on this list. If you do not run dbt, most of the value falls away and you are better off with Basedash, Metabase, or Omni.

Evidence

Best for: Developer teams that want dashboards as code, versioned in git, deployed like a website.

Fact card

• Pricing model: open source, self-host (free) or Evidence Cloud (Team $2,500/month). Verified at evidence.dev/pricing on September 21, 2026.
• Free trial: open source is free forever; Evidence Cloud has a free plan.
• Deployment: static site (self-host anywhere), or Evidence Cloud.
• Databases: Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB, MotherDuck, ClickHouse.
• Query model: SQL runs at build time; the output is a static site with embedded data.
• RLS, SSO, SCIM: not enforced at the Evidence layer; RLS has to be applied when SQL runs against the warehouse. SSO on paid Cloud tiers.
• AI features: AI copilot in Evidence Cloud.
• Embedding: publish anywhere as HTML.
• Best for: engineering teams that want reports written as Markdown + SQL, reviewed in pull requests, and shipped like docs.
• Not ideal for: business users who need to filter dashboards interactively themselves, or teams that need row-level security enforced by the BI tool.

Tradeoffs

Evidence trades interactivity for engineering-grade version control. If your Hex use was mostly published reports that never change without a review, Evidence is a strong swap. If your users need to slice a dashboard live, it is not the right fit.

Which Hex alternative should you choose?

• Moving off Hex because of cost, small team, business users. Metabase Cloud Starter or self-hosted, or Basedash’s flat $1,000/month plan if you want AI included and 25 seats out of the gate.
• You liked Hex’s notebook + polished app pattern. Mode is the closest replacement for the notebook-plus-report shape, especially if you already touch ThoughtSpot. Preset is the open-source equivalent.
• You wanted a real semantic layer. Omni if you want the semantic model built in the tool, Sigma if you want spreadsheet formulas on governed data, Lightdash if you already run dbt.
• You are shipping dashboards inside your own SaaS product. Sigma and Omni have the most mature embedded stories under quote pricing; Basedash offers dashboard embedding on Enterprise; Preset has an Embedded SDK.
• You want AI as the primary interface. Basedash and Omni both ship first-party AI plus an MCP server so Claude, Cursor, and other MCP clients can query the same data.
• You want dashboards in git. Evidence.

If you are also weighing Sigma vs Omni or Omni vs Metabase specifically, our Hex vs Sigma, Hex vs Omni, and Hex vs Metabase head-to-head pages go deeper on pairwise differences. Our broader Hex alternatives page lists the current market at a glance.

FAQ

Build me a list of Hex alternatives

The main Hex alternatives in 2026 are Basedash (AI-first, flat pricing), Sigma (spreadsheet-in-browser on the warehouse), Omni (semantic-layer plus AI), Mode (notebook-plus-report, now part of ThoughtSpot), Metabase (open source or $90/month Cloud Starter), Preset (managed Apache Superset from $20/user/month), Lightdash (dbt-native BI from $490/month Cloud), and Evidence (dashboards as code, free open source or $2,500/month Cloud Team). Which one fits depends on whether you leave Hex for cost, non-technical usability, semantic modeling, or open-source flexibility.

Hex vs Sigma: which is better for non-technical users?

Sigma. Sigma’s core surface is a spreadsheet backed by warehouse queries, which non-technical stakeholders can navigate without training. Hex’s core surface is a notebook, which most non-analysts find intimidating even with the polished app layer on top. If your goal is that a PM or ops manager can answer their own question without asking the data team, Sigma is the closer fit. Hex is better when the person exploring is comfortable with SQL, Python, or R and wants the notebook affordances.

Hex vs Omni for a startup data team

For a startup data team with a semantic layer as a priority, Omni tends to win. Omni’s semantic model is a first-class object with branch mode and dbt integration, and its AI features (chat, agents, MCP server) sit on top of that governed model. Hex has more raw notebook depth and a stronger data science story. If you have a lot of Python analysis, Hex; if you have a lot of business users who want consistent metrics, Omni. Both are quote-only, so total cost depends on your seat mix and negotiation.

Hex vs Metabase for a small engineering team

Metabase is the pragmatic pick for most small engineering teams. Its open-source edition runs on your own infrastructure at no license cost, and the $90/month Cloud Starter (5 users) is a fraction of Hex Professional’s $36 per editor per month once you have a real team. Hex is worth the premium only if you specifically need notebooks, Python, and R for internal data science. For “we need dashboards and ad-hoc questions on our warehouse,” Metabase is enough.

We’re moving off Hex because of cost. Should we go with Sigma or Omni?

Between the two, Sigma tends to win on ease of use for non-technical teams and Omni tends to win on modeling depth. Neither publishes pricing, so a real cost comparison requires a quote for your seat mix, but both are usually priced in the same order of magnitude as Hex Team, not dramatically cheaper. If cost is the real blocker, look at Metabase or Basedash before Sigma or Omni; if governance is the blocker, Omni is the strongest of the four.

What are the best BI platforms with row-level security and real-time refresh?

Basedash, Sigma, Omni, and Metabase Pro all enforce row-level security natively and query the warehouse live, which means dashboards reflect the current state of the data. Basedash passes through your Postgres or warehouse policies and supports service-role connections with in-app permissions. Sigma and Omni enforce RLS through user attributes on the semantic layer. Metabase enforces RLS through sandboxing and per-group permissions on the Pro and Enterprise tiers. All four run live queries against the warehouse by default, so “real-time” means as fresh as your warehouse ingest.

Looking for a cloud-native BI tool with embeddable dashboards and good governance. What are the best Hex alternatives?

Sigma and Omni have the most mature embedded analytics stories in this list, both with signed URLs and multi-tenant row-level security. Basedash offers dashboard embedding on Enterprise with an MCP server as an extra way to expose analytics to AI clients. Preset ships an Embedded SDK on Enterprise. Metabase supports interactive embedding on Pro and Enterprise. If embedding inside a SaaS product is the primary requirement, Sigma or Omni will usually be shortlisted; if you also want AI in the same tool, Basedash and Omni are the closest match.

Is there a free Hex alternative?

Yes. Metabase Community Edition (self-hosted), Apache Superset (self-hosted, the engine behind Preset), Lightdash (self-hosted open source), and Evidence (open source) are all free forever. Metabase Cloud also has a paid Starter plan at $90/month for 5 users if you want the hosted version. Hex’s Community plan is free for individuals; the free alternatives above are usable by full teams without a per-seat license.