Looker Studio alternative: the 8 BI tools B2B teams should evaluate

TL;DR

Looker Studio is free and functional. It stops being enough at the moment your warehouse becomes the source of truth, your team needs row-level permissioning, or your analyst needs to explore data instead of just visualise it.

• 8 shortlist alternatives in 2026: Metabase, Preset (Superset), Sigma, Hex, Mode, Rows, Tableau, Power BI.
• Pick by warehouse fit first, self-serve capability second, price third.
• Warehouse-first teams should skip Looker Studio entirely and standardise on Metabase, Sigma or Preset.
• Free is not free at scale: Looker Studio’s hidden costs are analyst time and stakeholder frustration.

Introduction

Looker Studio (formerly Google Data Studio) is the most-deployed BI tool in the B2B SaaS mid-market for one honest reason: it is free, and it has native connectors to Google Analytics, Google Ads and Search Console. For a marketing team producing weekly performance reports on Google-centric data, Looker Studio is the fastest path to a visualisation.

The reasons teams look for an alternative are also consistent. Performance degrades on large datasets. Row-level permissioning is weak. Governance and version control are missing. Warehouse-native workflows are second-class citizens. Self-serve exploration is limited compared to modern tools. Recent Google product-line consolidation has added uncertainty about the roadmap.

This article is for the RevOps lead, head of data or GTM engineer at a B2B SaaS scale-up evaluating a BI tool switch. Not a rankings piece. A destination-first buying framework and the 8 tools that earn shortlist consideration.

When Looker Studio is the right answer

Before recommending alternatives, the honest case for staying.

Stay on Looker Studio if your primary data sources are Google Analytics 4, Google Ads, YouTube Analytics and Search Console; your team is under 5 people; your dashboards are consumed by a small stakeholder group; your queries return under 100K rows; and you do not need per-user or per-row access controls. In this profile Looker Studio is often the right choice, even in 2026.

Move off Looker Studio if any of these apply: your source of truth is a data warehouse; you need row-level or column-level permissioning; your team includes analysts who want to explore data interactively; your organisation needs governance, versioning or audit trails; performance on your typical dataset is slow.

The 8 alternatives, at a glance

Pricing is Q2 2026 published tier; enterprise contracts vary widely.

Metabase

The most-recommended Looker Studio alternative for B2B SaaS mid-market in 2026. Two features drive the choice.

The first is warehouse-native self-serve. Metabase’s query builder lets non-SQL users construct queries against Snowflake, BigQuery, Databricks, Redshift and 20+ other databases without writing SQL. When SQL is needed, the editor is competent.

The second is deployment flexibility. Self-host Metabase for free on your own infrastructure. Use Metabase Cloud for hosted convenience starting at $85 per month. Both preserve the same feature set.

Weakness: embedded analytics work but are less polished than commercial alternatives. Governance features exist but require configuration.

Right for: B2B SaaS scale-ups with a warehouse, 5+ analyst-adjacent users, and an internal preference for open-source stacks.

Preset (Apache Superset)

Superset is the open-source BI tool developed at Airbnb, now maintained as an Apache project. Preset is the managed hosting company founded by the Superset creator.

Strong on: dashboard variety, SQL sophistication, ecosystem maturity. The visualisation library is deep. The query performance on large datasets is excellent when connected to a modern warehouse.

Weakness: UX is more analyst-oriented than business-user-oriented. Non-technical stakeholders often prefer Metabase or Sigma.

Right for: teams that value open-source strategy and have data or analytics engineering in-house.

Sigma Computing

The BI tool that made spreadsheet-native business users a first-class audience. Sigma runs a spreadsheet UI on top of your warehouse; the underlying queries are SQL but the interface is Excel-adjacent.

Strong on: business-user self-serve, warehouse performance, live spreadsheet workflows where changes trigger downstream queries.

Weakness: pricing is enterprise-scale ($600 per user per year). The value math works when 10+ business users actively use Sigma as their primary analytics interface.

Right for: RevOps or finance teams with 10+ business-user analysts, a warehouse commitment, and a budget line for premium BI.

Hex

Analyst-notebook tool that combines SQL, Python and visualisation in a versioned document format. Positioned between BI (Metabase, Sigma) and notebooks (Jupyter, Databricks notebooks).

Strong on: analyst productivity, reproducibility, collaboration across data science and analytics roles.

Weakness: not primarily a dashboard-distribution tool. Consumption is different from Metabase or Sigma; you share notebooks and apps, not dashboards per se.

Right for: teams with dedicated data analysts who want a productive workbench and can distribute findings through purpose-built apps rather than always-on dashboards.

Mode

SQL-first analyst tool with report distribution. Similar niche to Hex but with a longer track record and a more traditional report format.

Strong on: SQL fluency, report scheduling, embedded analytics. Recent product direction has emphasised generative AI features for analyst productivity.

Weakness: business-user self-serve is weaker than Metabase or Sigma. Best for analyst-owned reporting rather than department-wide self-serve.

Rows

Modern spreadsheet with BI-adjacent features. Native connectors to marketing and product data sources, formula-driven analysis, sharing model that matches how business teams already work.

Strong on: fast time-to-first-report, spreadsheet familiarity, generous free tier.

Weakness: not a warehouse-native tool. Scale ceiling is lower than the alternatives above.

Right for: seed and early Series A teams that need marketing analytics faster than an analyst can build them.

Tableau

The enterprise incumbent. Deep visualisation capability, strong governance, wide ecosystem, high price.

Strong on: enterprise features, established buyer confidence, Salesforce integration since the 2019 acquisition.

Weakness: deployment complexity, learning curve, pricing. Rarely the right choice for a B2B SaaS scale-up under €30M ARR unless the parent organisation already runs Tableau enterprise-wide.

Right for: enterprises with Salesforce ecosystem commitment and dedicated BI operations.

Power BI

Microsoft’s enterprise BI. Excellent Microsoft ecosystem integration, extensive feature set, competitive per-user pricing.

Strong on: Excel-adjacent workflows, Azure integration, low per-user cost.

Weakness: best value depends on Microsoft ecosystem commitment. Standalone deployments miss half the value.

Right for: enterprises on Microsoft 365 with Azure warehouses.

The self-serve question, honestly

The single most-overrated feature in BI marketing is “self-serve analytics.” Every vendor claims it. Few deliver it in a way that matches how business teams actually work.

Real self-serve in 2026 means: a business user can answer a novel question in under 10 minutes, without asking the RevOps team, and without producing a wrong number. Test this on your shortlist before signing. Give a marketing manager a specific question, sit down with them and Metabase for 20 minutes, watch what happens. Then repeat with Sigma. Then Looker Studio. The differences will surprise you.

In our portfolio, Sigma delivers the strongest business-user self-serve, Metabase delivers the strongest analyst self-serve, Looker Studio delivers the weakest of both categories.

The governance question

Every BI tool ships with permissioning claims. Governance in practice means answering three questions:

Row-level security. Can you show a EU sales manager only EU account rows, while the US manager sees only US rows, from the same underlying query? Metabase and Sigma yes. Looker Studio only with workarounds.

Audit trail. Can you see who viewed which dashboard, ran which query, and when? Enterprise Metabase, Sigma, Tableau and Power BI yes. Free Looker Studio no.

Version control. Can dashboard changes be reviewed like code changes before deployment? Hex yes. Mode yes. Others increasingly through Git integration.

If your organisation is subject to audit requirements (SOC 2, ISO 27001, HIPAA-adjacent), the governance features move from nice-to-have to shortlist gate.

What we use at Falora

For transparency: Falora’s internal analytics runs on Metabase on top of Snowflake. We evaluated Sigma and Hex; Metabase won on the balance of open-source flexibility, warehouse-native queries and the deployment model that matched our security posture.

For our external product analytics (customer-facing dashboards embedded in the Falora product), we run a custom embedded implementation rather than any of the tools above, because the requirements are specific to the GTM domain we operate in.

A 30-day evaluation plan

For a B2B SaaS team on Looker Studio considering a switch, here is the 30-day plan we use in the Stretch portfolio.

Days 1 to 7: pain audit. Document specifically what is failing in Looker Studio. Performance, permissioning, self-serve, governance. Rank by frequency of impact. Small pains often stay in the tool; big pains justify migration.

Days 8 to 14: shortlist. Pick 2 or 3 alternatives based on your destination and team fluency. If you have a warehouse, Metabase and Sigma should be on the shortlist. If you value open-source, add Preset.

Days 15 to 22: pilot. Reproduce your 3 most-used Looker Studio dashboards in the top choice from the shortlist. Time-to-build, performance, and business-user reception are the three metrics that matter.

Days 23 to 30: decision. If the pilot cleared the pain audit and the total cost of ownership is defensible, commit. If it did not, either try the second shortlist option or accept that Looker Studio is still the right tool for your stage.

Frequently asked questions

Is Looker Studio being deprecated? Not that we know of. Google has consolidated the Looker Studio and Looker (enterprise) product lines and continues to invest. The uncertainty is more about roadmap priorities than product survival.

Can I use two BI tools together? Yes, and many teams do. Looker Studio for Google-centric marketing reports; Metabase or Sigma for warehouse-centric internal analytics. Reasonable at mid-market and above.

What is the total cost of ownership for Metabase? Self-hosted Metabase is functionally free but requires 5 to 15 hours per month of DevOps attention for a mid-market deployment. Metabase Cloud starts at $85 per month and scales with users. Total cost of ownership at mid-market is typically $300 to $1,500 per month all-in.

Does Falora integrate with any of these tools? Falora writes to your warehouse and exposes standardised event data that any BI tool can consume. We do not have a preferred BI vendor.

Which is best for GDPR compliance? Self-hosted Metabase or Preset give you the strongest data-residency control (you own the deployment). Sigma, Hex and Mode have EU data residency options. Looker Studio compliance depends on your Google Workspace configuration.

Conclusion

Looker Studio’s free price and Google-native connectors made it the default B2B SaaS mid-market BI tool. Neither reason disappears in 2026. The reasons to leave are specific and worth acting on when they apply: warehouse-first architecture, permissioning needs, self-serve ambition, governance requirements.

The right alternative depends on your destination and your team fluency. Metabase for warehouse plus analyst self-serve; Sigma for business-user spreadsheet workflows; Preset for open-source at scale; Hex or Mode for analyst notebooks.

If you want help mapping BI tool selection against the broader GTM engineering system architecture, book a review with Falora.

Sources

• Metabase, Product and pricing
• Preset, Managed Superset pricing
• Sigma Computing, Product overview
• Hex, Notebook-based analytics
• Mode, Analyst tool documentation
• Rows, Modern spreadsheet
• Tableau, Pricing tiers
• Microsoft, Power BI pricing

Related reading on Falora

• Supermetrics alternative: the 8 options that actually work
• The anatomy of a GTM engineering system
• Self-reported attribution: the only B2B attribution that survives
• Revenue attribution vs marketing attribution
• The Marketing Efficiency Ratio

About the author

Jeroen De Broyer is co-founder of Falora. He has selected and deployed BI tools across 11+ European B2B SaaS scale-ups and writes on LinkedIn.