Looker Studio vs Metabase vs Sigma for Contractors: 7 Factors That Decide

A $3M HVAC shop evaluating BI tools has three realistic contenders in the non-Microsoft camp: Looker Studio, Metabase, and Sigma. They are genuinely different tools for different problems. Picking wrong is a five-figure mistake.

This post walks through the seven factors that actually decide, with real 2026 pricing and honest tradeoffs. None of these tools are bad. The question is which one fits your team, your data, and the questions you are asking.

ServiceTitan's 2026 State of AI in the Trades report surveyed over 1,000 contractors and found 74% view AI as key to efficiency, while only 25% currently use it. The same gap applies to BI tools. Most contractors want better reporting. Most contractors do not have a working reporting stack. Picking the right tool is the first step toward closing that gap.

For the full landscape of BI options for home services, see 8 home service BI tools compared. For the chat-vs-dashboard question, see 5 questions every contractor asks that no dashboard will ever answer.

1. Price floor and total cost

Looker Studio: Free. Pro at $9/user/project/month on annual billing per Google Cloud's pricing page.

Metabase: Open Source free (self-hosted). Starter $100/month + $6/user past 5 users. Pro $575/month + $12/user past 10 users. Enterprise starts at $20,000/year per Metabase's pricing page.

Sigma Computing: $1,380/user/year Professional, $1,980/user/year Enterprise, with median buyer paying $60,500/year per Vendr's 2026 marketplace data.

What this means for contractors. Looker Studio wins on price by an order of magnitude. For a 2-tech shop that mostly reports on Google Ads, the free tier does the job. Metabase is the middle ground if you have a warehouse or Postgres database, with Starter hitting sub-$5K/year for most use cases. Sigma starts at enterprise pricing and is rarely the right fit under $10M in revenue.

Hidden cost alert: self-hosted Metabase looks free, but industry reviews peg operating costs at $15,000-$20,000/year once you factor infrastructure and maintenance. Free is not free.

Text Sully: "What's my cost per booked job by ad channel this month?" Sully answers directly off the CRM connection. No warehouse, no Postgres, no per-seat math.

2. Connector coverage for contractor tools

Looker Studio. Native connectors for Google Ads, Google Analytics, YouTube, BigQuery, Sheets, and Search Console. Third-party (paid) connectors from Supermetrics, Windsor.ai, and others for Meta Ads, HubSpot, Salesforce. No native ServiceTitan, Jobber, Housecall Pro, or Workiz connector.

Metabase. Direct database connections (Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift, many more). No SaaS-API connectors. To use Metabase with ServiceTitan or Jobber, you need an ETL layer (Fivetran, Airbyte, or a custom sync) to land the data in a database first.

Sigma. Direct-query against cloud warehouses only: Snowflake, BigQuery, Databricks, Redshift, Postgres. No SaaS connectors. Same ETL requirement as Metabase, plus the warehouse.

What this means for contractors. Looker Studio works out of the box if your data lives in Google's world. The moment your primary data is in a field service CRM, you need a paid connector (adds $500-$2,000/month) or a custom API build.

Metabase and Sigma both require a warehouse plus ETL, which is a $15K-$75K project before the first dashboard loads. This is where most contractor Metabase and Sigma projects stall.

Text Sully: "Show me customers who bought an AC replacement over $8K in the last 3 years." Sully queries the CRM directly with no warehouse needed.

3. Learning curve and who on your team can use it

Looker Studio. Drag-and-drop. A non-technical user can build a basic dashboard in an hour. Calculated fields use a formula language similar to Google Sheets.

Metabase. Two modes. The question builder is point-and-click for simple queries. For anything non-trivial, you write SQL. Metabase is best when you have a SQL-literate ops lead or analyst.

Sigma. Spreadsheet-native. If your ops lead loves Excel, Sigma reads like Excel with a cloud warehouse backing it. Learning curve is low for Excel users, high for everyone else.

What this means for contractors. Most $1M-$10M shops do not have a SQL analyst. They have an office manager who uses QuickBooks and Excel. For those shops, Looker Studio or Sigma win on usability. Metabase is a non-starter without SQL.

The Jobber 2026 Home Service Economic Report highlights that three-quarters of service businesses expect revenue to rise in 2026, with time pressure already high (48% cite jobsite management and 40% cite customer communication as their biggest time sinks). Learning a BI tool is not on the list.

Text Sully: "Which 10 customers are most likely to buy a maintenance plan this quarter?" Sully answers in plain English. No SQL, no formula syntax.

4. Speed to first useful dashboard

Looker Studio. Hours. If you are connecting Google Ads and Google Analytics, the templates in Google's gallery get you to a useful dashboard same-day.

Metabase. Days to weeks, depending on whether you already have a warehouse. If you do, Metabase is the fastest tool to set up and teach a team. If you do not, add 2-6 weeks for the ETL build.

Sigma. Weeks. Sigma requires the cloud warehouse, the ETL pipelines, and schema modeling before meaningful analysis. Most Sigma projects take 6-12 weeks to first production dashboard.

What this means for contractors. If you need insight this month, Looker Studio is the only option of the three. Metabase and Sigma both assume a prior data-infrastructure investment.

Text Sully: "Show me this month's booked revenue by service type." Sully answers in 30 seconds from the CRM connection. No prior infrastructure.

5. What the three are actually good at

Looker Studio is best at: Marketing reporting. Google Ads + GA4 + Search Console + Sheets makes this tool a default for agencies. If your question is "how did my Google Ads perform this month," Looker Studio is unbeatable.

Metabase is best at: Internal company dashboards on a database. SaaS startups use Metabase heavily because their data is already in Postgres or Snowflake. For contractors who have done the warehouse work, Metabase is fast, flexible, and cheap.

Sigma is best at: Self-service analytics for spreadsheet-native operators on top of a cloud warehouse. Sigma shines when the business user is analyzing data themselves, not consuming a pre-built dashboard.

What this means for contractors. Looker Studio is the right tool if your main question is ad spend ROI. Metabase is the right tool if you have a developer or analyst who already set up your data stack. Sigma is the right tool for multi-location platforms consolidating into a warehouse.

For the build-vs-buy question on AI tools that connect to the same data, see how to build an AI agent for home services.

Text Sully: "Which techs had the biggest revenue drop in the last 60 days and what changed?" Sully joins job data, tech schedules, and call transcripts in one answer.

6. Where each one breaks for contractors

Looker Studio. Performance ceiling at a few hundred thousand rows. Billing is per-project (each Google Cloud project needs its own Pro sub). Non-Google data sources require paid third-party connectors. No native field service CRM connectors.

Metabase. Requires SQL for anything non-trivial. Requires a warehouse or direct database. Self-hosted looks free but has real operational cost. Open-source edition is missing sandboxing features you will want once non-admin users get access.

Sigma. Price floor. Warehouse requirement. Learning curve for non-Excel users. Vendor is optimized for mid-market analytics teams, not contractor ops leads.

Common thread. None of these tools have native connectors to ServiceTitan, Jobber, Housecall Pro, Workiz, or Pipedrive. ServiceTitan's 2026 State of AI in the Trades report shows 44% of contractors cite integration complexity as a top AI adoption barrier. The same barrier applies to BI tools.

Contractors adopting Looker, Metabase, or Sigma often hit the same wall DIY automation builders hit: connecting the data is most of the work. Zapier, Make, n8n for contractors: why DIY stalls covers the adjacent integration-cost problem for workflow tools.

On the warehouse question specifically, Metabase and Sigma both assume one. A warehouse is a real line-item investment. Snowflake or BigQuery on a contractor-scale data volume runs $400-$2,000/month on compute plus storage. Fivetran or Airbyte for ETL adds another $1,500-$5,000/month depending on connector count. Add Metabase Pro or Sigma seat costs on top. Before the first dashboard renders, the monthly spend floor sits at $3,500-$9,000. That is real money for a shop doing $2M-$5M in revenue.

Text Sully: "What is my all-in monthly cost if I stack Snowflake, Fivetran, and Metabase Pro for a 15-tech HVAC shop?" Sully lays out the real numbers without a sales call.

7. Where chat AI changes the calculation

None of these tools are "bad." They are all dashboard engines. The shift in 2026 is that a conversational AI layer on top of connected data changes the calculation on whether you need the dashboard at all.

A Sigma dashboard answers "what is my revenue by service line this quarter." A chat AI answers the same question plus the follow-up "why did plumbing drop vs last quarter" plus "which 10 customers are most likely to book a maintenance plan." The dashboard is fixed. Chat is ad-hoc.

ServiceTitan's 2026 report shows 74% of residential contractors see AI as key to efficiency, and the highest-use cases are administration (59%) and marketing/sales (51%). Those are exactly the questions BI tools try to answer and mostly miss because the question shape is wrong.

Text Sully: "Compare this month's quote-to-close rate across my 4 senior techs, and draft the coaching message for anyone below 40%." Sully pulls the answer, ranks the techs, and drafts the message in one query. No dashboard, no SQL, no warehouse.

Contractor-specific scenarios

Scenario A: 4-tech plumbing shop, owner does all the ops. Pick Looker Studio free tier. Connect Google Ads, Google Analytics, and a Google Sheets export from Jobber. Budget zero dollars and 4 hours. This is the right call for 80% of sub-$2M shops.

Scenario B: 12-tech HVAC shop with a full-time ops manager who knows Excel. Pick Metabase Starter on Cloud. Use Fivetran or Airbyte to sync ServiceTitan to Postgres. Budget $4,000-$8,000/year all-in. The ops manager writes basic SQL after a 2-week ramp and the shop has a working dashboard stack in 6 weeks.

Scenario C: 40-tech multi-location electrical platform with an in-house analyst. Pick Sigma Professional on top of Snowflake. Budget $60,000-$90,000/year. The analyst builds shared models and the location managers self-serve their own analysis.

Scenario D: 8-tech shop with no analyst and no Google-heavy data stack. None of the three tools are a clean fit. Skip the BI tool purchase entirely and use a chat AI layer that reads your CRM, accounting, and email directly. Budget the seat cost of the AI tool and zero dashboard build.

Scenario D is the most common reality for contractors in the $1M-$10M range and the most common place where a BI tool purchase goes wrong.

The verdict: pick the one that matches your team

Pick Looker Studio if: Your data is mostly Google (Ads, Analytics, Sheets, BigQuery). You are under 5 techs. You have no BI analyst. You need results this week. Go free tier first, upgrade to Pro only if you need team workspaces or scheduled delivery.

Pick Metabase if: You already have Postgres, MySQL, or a warehouse. You have a SQL-literate ops lead or analyst. You want a fast, flexible, mid-priced tool for internal dashboards. Budget for the Starter or Pro Cloud tier, not self-hosted, unless you have ops support.

Pick Sigma if: You are a PE-backed home service platform consolidating multiple shops onto Snowflake or BigQuery. You have an in-house BI team. You want a self-service analytics tool for spreadsheet-native users. Skip Sigma if you are an independent shop under $10M.

Add Sully alongside any of them if: You want answers to the questions dashboards cannot answer. The ad-hoc questions. The cross-source questions. The "why" questions. Different shape of answer, different price, different use case.

The shops winning in 2026 will run both. A focused dashboard for the three KPIs you check every morning. A chat AI for every other question that comes up during the day. Pick the BI tool that matches your team. Then add the brain for everything the dashboard was never designed to answer.