8 Home Service BI Tools Compared: Power BI, Looker Studio, Metabase, Sigma, and 4 More

The average home service contractor runs on 4-7 disconnected systems between their CRM, accounting, email, ad platforms, and call tracking. A BI tool is supposed to stitch them together. Most of the time it stitches together the three that already had good APIs and ignores the rest.

This post is a fair pricing-and-fit comparison of eight BI tools contractors actually evaluate. Not a smear. Power BI is genuinely good at Power BI. Metabase is good at Metabase. The question is where each one breaks when the user is a plumbing shop owner, not a data analyst.

ServiceTitan's 2026 State of AI in the Trades report shows 74% of residential contractors see AI as key to efficiency but only about 25% actually use it. Dashboards are the status quo. The gap between "I want better data" and "my dashboard works" is where every BI tool on this list either earns its keep or falls down.

For the bigger-picture question of why dashboards miss the questions owners actually ask, see 5 questions every contractor asks that no dashboard will ever answer.

How to read this list

Every tool is rated on four criteria: price floor, where it shines, where it breaks for a $1M-$10M home service shop, and who it is actually right for. Each tool also gets a "Text Sully" example showing the same question asked as ad-hoc chat instead of a filtered dashboard view.

The list is ranked by how commonly contractors evaluate each tool, not by preference.

1. Power BI

Pricing: $14/user/mo Pro, $24/user/mo Premium per user, Fabric F64 capacity $5,068/mo per Microsoft's pricing page.

What it does well. Massive ecosystem. Best-in-class for shops already on Microsoft 365 since auth, permissions, and data connections live in the same tenant. DAX is powerful once mastered. Dataflows handle scheduled refresh from most SaaS sources.

Where it breaks for contractors. DAX is the single biggest complaint, with SQLBI publishing "7 reasons DAX is not easy" and the Reporting Hub titling a piece about new-user experience:

"It's all a big mess. Why Power BI feels overwhelming to new users."

• The Reporting Hub, full article

Building a dashboard that joins ServiceTitan with QuickBooks Online and Google Ads requires a real analyst. Most $2M plumbing shops do not have one.

Licensing is also a maze. The EPC Group 2026 licensing guide documents the Pro vs PPU vs Fabric decision tree. Reddit users consistently report underestimating the licensing complexity before buying.

Who it is right for. Shops running 25+ techs, already on Microsoft 365 E5, with at least one in-house analyst. Not the right tool if nobody on the team writes DAX.

Text Sully: "Show me revenue by department this month compared to last, and break out the drop in HVAC installs by day." Sully pulls the answer in 30 seconds without a dashboard build. The same question in Power BI is a 3-day project the first time.

2. Looker Studio (formerly Google Data Studio)

Pricing: Free, with Looker Studio Pro at $9 per user per project per month billed annually per Google Cloud's pricing page and Kodalogic's 2026 review.

What it does well. Best free tool on the market. Connects to Google Ads, Google Analytics, BigQuery, and Sheets natively. Perfect for a quick revenue-by-month chart. The Pro tier adds team workspaces, scheduled delivery, and Google Cloud support.

Where it breaks for contractors. Native connectors are Google-shop biased. Connecting ServiceTitan, Jobber, or Housecall Pro requires a third-party connector like Supermetrics or Windsor.ai, each of which bills per connection. Billing is per-project, so an agency running four clients on separate Cloud projects pays four Pro subscriptions. And Looker Studio itself has real performance limits on data volume past a few hundred thousand rows.

Who it is right for. Small shops with 1-5 techs who mostly want Google Ads and Google Analytics reporting. Agencies handling home-service clients. Useless for anyone whose data lives primarily in a non-Google CRM.

Text Sully: "How much did Google Ads spend produce this month in closed revenue, factoring in my CRM's lead-source data?" Looker Studio can show the spend column. Answering the closed-revenue question requires building a custom join against your CRM, which is exactly where most home service Looker setups stall.

3. Metabase

Pricing: Open Source free, Starter $100/mo plus $6/user past 5 users, Pro $575/mo plus $12/user past 10, Enterprise starts at $20,000/yr per Metabase's pricing page and Coefficient's 2026 breakdown.

What it does well. The fastest BI tool to stand up if you have a SQL-literate person on the team. Open-source version is genuinely free. The question builder makes simple queries point-and-click. Best-in-class for ad-hoc SQL queries against Postgres or MySQL.

Where it breaks for contractors. Needs direct database access. ServiceTitan, Jobber, and Housecall Pro do not give you database-level access, only APIs. To use Metabase with a SaaS CRM, you need an ETL layer like Fivetran or Airbyte to sync data into Postgres first, which adds $1,500-$5,000/month depending on source count. Also: Metabase is SQL-first. Non-SQL users get stuck at the question-builder ceiling fast.

Who it is right for. Shops that already have a data warehouse and a part-time analyst. Software-adjacent contractors where the owner or ops lead can write basic SQL.

Text Sully: "Which 20 customers are most likely to book a maintenance plan this quarter?" Metabase can get there with a multi-CTE SQL query written by someone who understands the schema. Sully reads the same data and returns the ranked list in plain English with the reasoning attached.

4. Sigma Computing

Pricing: Professional $1,380/user/yr, Enterprise $1,980/user/yr, median deal size $60,500/yr per Vendr's 2026 marketplace data.

What it does well. Spreadsheet-native BI on top of a cloud warehouse. If your ops lead loves Excel, Sigma is the closest thing to Excel that scales. Direct query against Snowflake, BigQuery, Databricks, and Redshift with no extract step. Collaboration features are genuinely best-in-class.

Where it breaks for contractors. Sigma requires a cloud data warehouse. For most $1M-$10M home service shops, standing up Snowflake or BigQuery plus the ETL pipelines to feed it is a $30K-$75K project before the first Sigma dashboard loads. Sigma is built for mid-market analytics teams, not the owner of a 12-tech HVAC shop.

Who it is right for. Private-equity-backed home service platforms consolidating multiple shops onto a shared warehouse. Not the right tool for an independent shop.

Text Sully: "What is my true gross margin by service line this quarter?" Sigma can answer this if your warehouse already has parts cost, labor cost, and revenue joined up. Sully answers directly off the CRM + accounting connection with no warehouse needed.

5. Tableau

Pricing: Viewer $15/user/mo, Explorer $42/user/mo, Creator $75/user/mo on Tableau Cloud, annual commit required per Tableau's pricing page and Mammoth's 2026 breakdown.

What it does well. Still the gold standard for visual analytics. Best-in-class charting engine, most flexible calculated-field system, and a huge library of public dashboards to learn from. Tableau Prep handles data cleaning reasonably well.

Where it breaks for contractors. Salesforce acquisition has pushed pricing up and features increasingly toward the Salesforce ecosystem. For a contractor not on Salesforce, the enterprise pricing tier (Creator at $115/user/mo) becomes the realistic floor. And like Power BI, Tableau requires a real analyst to build and maintain.

Who it is right for. Home service shops owned by a Salesforce-first holding company. Large multi-location operators with dedicated BI teams.

Text Sully: "Which five techs have the highest revenue-per-hour-on-truck this month?" A Tableau report can show this after a joiner analyst builds the data model. Sully answers from the connected CRM and timesheet data directly.

6. Domo

Pricing: Consumption-based, small teams $50,000-$75,000/yr, mid-market $150,000-$400,000/yr per Luzmo's 2026 pricing review and Mammoth's pricing guide.

What it does well. Pre-built connectors to 1,000+ SaaS sources including many home service tools. Mobile-first dashboards are genuinely good for owners who check the shop from their truck. Data App Studio lets non-technical users build workflows.

Where it breaks for contractors. The consumption model plus enterprise pricing floor makes Domo a poor fit below $10M in revenue. Blaze SQL's 2026 pricing analysis documents credit traps where dashboard usage quietly increases the bill. Contractors report surprise overages when adding data sources.

Who it is right for. $25M+ multi-location home service operators. PE-backed platforms with CFO-level BI requirements.

Text Sully: "Show me customers in Phoenix who bought an AC replacement over $8K in the last 3 years, have not booked maintenance, and live in a zip with incomes over $150K." Domo can build this. Sully returns it as a ranked list with the customer phone numbers in 30 seconds.

7. Hex

Pricing: Community free, Professional $36/editor/mo, Team $75/editor/mo, Enterprise custom per Hex's pricing page and Julius AI's 2026 review.

What it does well. The modern notebook approach to BI. Mixes SQL, Python, and visualization in the same canvas. AI-native features are the best of any tool on this list. Strong collaboration for data teams.

Where it breaks for contractors. Hex is a tool for data scientists and analytics engineers. Its natural user is someone who writes Python as a default. No contractor shop under $20M has that person on staff full time. Also: like Metabase and Sigma, Hex needs a warehouse or direct database to work well.

Who it is right for. Shops with a fractional data scientist on contract. PE portfolio analytics teams building a shared platform.

Text Sully: "Forecast next month's HVAC installation revenue based on the last 3 years of seasonality and my current quote pipeline." Hex notebooks can build the model. Sully answers with a forecast and a confidence range based on the same data, no notebook required.

8. Mode (ThoughtSpot)

Pricing: Starts at $49/user/mo billed annually, enterprise deployments $100,000-$500,000/yr per Upsolve's ThoughtSpot pricing analysis and Mode's comparison page.

What it does well. Originally SQL-first BI, now part of ThoughtSpot. Strong natural-language search features since the ThoughtSpot acquisition. Good for dashboards the analytics team hands off to business users.

Where it breaks for contractors. Enterprise pricing tier makes Mode a non-starter for $1M-$10M shops. ThoughtSpot's starting-at-six-figures conversations mean Mode is effectively priced out of the small-business segment. Natural-language search still assumes a clean underlying data model, which most contractor data is not.

Who it is right for. Large enterprises with existing data teams. Home service platforms in the $50M+ range.

Text Sully: "What was my average ticket on plumbing jobs in July compared to July last year?" Mode answers this if the data model is built. Sully answers from a CRM connection in plain chat.

What all eight tools share as a weakness

Every tool above is a dashboard engine. Dashboards have structural limits that no pricing tier fixes.

Dashboards are fixed shape. The filters, dimensions, and measures are chosen when the dashboard is built. New question means new dashboard or a modification by an analyst. This is fine if you have a dedicated BI team and slow if you do not.

Dashboards are single-source-biased. Cross-source joins (CRM + ad spend + accounting + calls) get built one at a time at significant cost. Most home service BI stacks have 3 or 4 dashboards on easy sources and nothing on the hard ones.

Dashboards do not read conversation data. Call transcripts, customer texts, and internal Slack threads are where most of the useful signal lives in a home service business. No BI tool on this list reads them natively.

Dashboards require a maintainer. Every connector breaks eventually when an API changes. Every schema evolves. Every shop that bought a BI tool without budgeting ongoing analyst time has a half-broken dashboard stack by year 2.

Where AI chat fits the BI landscape

The question shape is different. Chat handles ad-hoc. Chat handles cross-source. Chat reads text. Chat has no filter panel to maintain. That is the whole argument.

A $3M HVAC shop asking "why is this week down" is asking a cross-source "why" question. No dashboard answers it directly. An AI agent connected to the same data sources answers it in 30 seconds by reading jobs, call logs, tech schedules, and ad spend in one pass.

AI agents solve the ad-hoc question. The infrastructure cost of making that work in-house is covered in the real cost of building an AI agent for your home service business, with the build-vs-buy analysis in Zapier, Make, n8n for contractors: why DIY stalls and the limits of prompt-based bots in why DIY ChatGPT bots fail for home services.

Stacking BI + chat AI: the 2026 playbook

The shops winning in 2026 are not choosing between a dashboard tool and a chat AI. They run both.

Dashboard layer: the three or four KPIs you check every morning. Revenue, booked jobs, call conversion, active membership count. One clean dashboard, rebuilt every 18 months, maintained by a part-time analyst or the owner's spouse.

Chat layer: every other question. Why did this week drop? Which quotes are still warm? Which techs are at risk? What did the customer say on the call? Which zip codes are underspent? These questions never go into a dashboard and never should.

The split is not technical. It is cognitive. The dashboard is for questions you know you will ask every day. Chat is for questions you did not know you had until this morning.

Pricing comparison at a glance

Realistic cost factors in ETL connector fees, analyst time, and typical usage patterns. Actual deal sizes vary widely by negotiation and scope.

The verdict: different shape of answer

Power BI wins on enterprise Microsoft shops. Metabase wins on SQL-literate teams with a warehouse. Sigma wins on spreadsheet analysts. Looker Studio wins on Google-only free tier. Each of these has a place.

Sully is not trying to beat them at the dashboard game. Sully is the ad-hoc chat layer on top of your connected data. The dashboard answers "what." Sully answers "why."

For most $1M-$10M home service shops, the right setup in 2026 is both: a lightweight dashboard for the three KPIs you check daily, and a chat AI for the other 20 questions that come up every week. Pick the BI tool that matches your team. Then add the brain that answers the questions no dashboard ever will.

Frequently Asked Questions

How much does Power BI cost for a home service contractor?

Power BI Pro is $14 per user per month. Premium per user is $24 per user per month. Fabric F64 capacity runs $5,068 per month for organization-wide deployments. Both are effective April 2025 per Microsoft's pricing page. Budget DAX analyst time on top, because most $2M plumbing shops do not have one in-house.

What is the difference between Power BI and Looker Studio for contractors?

Power BI has the biggest ecosystem and best Microsoft 365 integration but requires DAX fluency. Looker Studio is free with a Pro tier at $9 per user per project per month. Looker Studio connects to Google-first sources natively; non-Google CRMs like ServiceTitan require a third-party connector that bills per connection.

Is Metabase free for contractors?

The open-source version is genuinely free. Metabase Starter is $100/month plus $6 per user past 5 users. Pro is $575/month plus $12 per user past 10 users. Enterprise starts at $20,000/year. Metabase needs direct database access, so ServiceTitan or Jobber requires an ETL layer like Fivetran ($1,500-$5,000/month).

Can I use AI chat instead of a BI tool for my contracting business?

Yes for ad-hoc questions. Dashboards are fixed shape, single-source-biased, and do not read conversation data. Chat handles cross-source queries and reads call transcripts and texts where most of the useful signal lives. The 2026 playbook is both: a lightweight dashboard for three daily KPIs and chat AI for everything else.

What is the ROI of a BI tool for a $3M HVAC shop?

Negative unless you have an in-house analyst. The Power BI licensing maze alone trips up most buyers, per EPC Group's 2026 licensing guide and consistent Reddit complaints. The Reporting Hub calls Power BI "a big mess" for new users. A $5K to $25K build with $14/user/mo licensing needs a real analyst to justify.

Which BI tool works with ServiceTitan directly?

Power BI via the ServiceTitan API (paginate through /jobs, /customers, /invoices at 60 calls/sec) and Looker Studio via community connector. Metabase, Sigma, and Hex require a data warehouse in between. Sully skips the warehouse and connects to ServiceTitan directly through OAuth.

Sources

• Microsoft Power BI pricing
• Google Cloud Looker pricing
• Metabase pricing page
• Vendr marketplace: Sigma
• Tableau pricing page
• Hex pricing page
• ThoughtSpot pricing via Upsolve
• Luzmo Domo pricing review
• ServiceTitan 2026 State of AI in the Trades
• The Reporting Hub on Power BI complexity