The best Power BI alternatives in 2026

Why Teams Look for Power BI Alternatives

Power BI is hard to beat on price per seat. Power BI Pro costs $14 per user per month on annual billing, it is included in Microsoft 365 E5 and Office 365 E5, and reports drop straight into Teams, PowerPoint and SharePoint. For a company that already runs on Microsoft, it is often the default choice for good reason.

The reasons teams leave are usually structural rather than about chart quality.

Authoring runs on Windows. Power BI Desktop is the main report-building tool, and Microsoft's minimum requirements list Windows 10 or Windows Server 2016 or later. There is no macOS version in that list. Microsoft does document creating reports directly in the browser-based Power BI service (for example, from an Excel file), so Mac users are not locked out entirely, but teams whose analysts work on Macs often end up running Windows in a virtual machine for Desktop work. Tableau Desktop, by contrast, installs on both Windows and Mac, and Data Studio, Metabase, Domo, Zoho Analytics and Sisense are used in the browser.

The licensing ladder. Power BI has three ways to pay. Pro ($14 per user per month, paid yearly) is needed to publish and share, and caps models at 1 GB and 8 refreshes a day. Premium Per User ($24) raises that to 100 GB and 48 refreshes. Microsoft Fabric capacity (F SKUs) is priced as variable on the Power BI page; publishing still needs Pro, and viewers can use content without a paid per-user licence only on F64 and above. That last point catches growing companies: a large audience of free viewers means F64 or higher, a capacity commitment rather than a cheap add-on.

Microsoft 365 and Fabric lock-in. Power BI now sits inside Microsoft Fabric. That is a strength if you want OneLake, Copilot in Fabric and the rest of the Fabric workloads. It is a constraint if your company runs Google Workspace, your data lives in BigQuery, or you would rather not tie your analytics roadmap to one vendor's platform decisions.

Google Workspace shops. If your team lives in Google Sheets, Google Ads and BigQuery, Google's own Data Studio (renamed from Looker Studio in April 2026) is free for creators and viewers and connects to those sources natively. Paying for Microsoft seats to report on Google data is a hard sell.

Open source and self-hosting. Power BI's self-hosted option, Power BI Report Server, is licensed through Fabric F64+ reserved capacity or SQL Server Enterprise or Standard core licences, and a Pro licence is still needed to publish to it. Teams that want to run analytics on their own servers without that licensing often look at Metabase (open source, free to self-host with unlimited users), Tableau Server, Zoho Analytics On-Premise or Sisense Enterprise.

Flat price versus per user. Power BI charges per user (or per capacity). Some alternatives flip that model: Metabase charges a flat base fee that includes a set number of users, Zoho Analytics sells plans that include users plus cheap viewer packs, and Domo uses consumption credits with unlimited users and no per-user charges. Which model wins depends on your ratio of builders to viewers, which is why this guide includes a worked cost example.

Power BI review

Power BI is Microsoft's business intelligence product, now part of Microsoft Fabric. Power BI Desktop is the authoring tool; the Power BI service is the cloud platform where reports are shared.

Key features

• Power BI Desktop for data modeling and report building, plus report creation in the browser-based service
• Copilot in Power BI and Fabric: ask questions in natural language, generate reports and visuals, get AI-written summaries
• Sharing into Microsoft Teams, PowerPoint, SharePoint and other Microsoft apps
• Paginated, print-ready reports (Report Builder) and Power BI Report Server for on-premises hosting
• Power BI Embedded for customer-facing reports in your own apps, branded as your own

Pricing

Prices are Microsoft's USD marketing prices; the checkout price varies by country.

• Free account: $0, no credit card. Includes Power BI Desktop for building reports, but you cannot share or publish to others.
• Power BI Pro: $14 per user per month, paid yearly. Publish and share, 1 GB model limit, 8 refreshes a day, 10 GB storage per licence. Included in Microsoft 365 E5 and Office 365 E5.
• Premium Per User: $24 per user per month, paid yearly. 100 GB models, 48 refreshes a day, 100 TB storage, advanced AI, dataflows, datamarts and XMLA read/write.
• Fabric capacity (F SKUs): variable pricing, pay-as-you-go or an annual reservation. Publishing still needs Pro; free viewers only on F64 and above.
• Power BI Embedded: capacity-based, see Microsoft's pricing or contact sales.

Pros

• Lowest published per-user price among the full BI suites here
• Included in Microsoft 365 E5, so many enterprises already own Pro
• Tight integration with Teams, PowerPoint, SharePoint and Fabric
• Paginated reports and an on-premises Report Server option

Cons

• Power BI Desktop requires Windows; Mac users rely on the browser or a virtual machine
• Free viewers need F64 or higher capacity, priced separately from the per-user plans
• Pro is capped at 1 GB models and 8 refreshes a day

Who should use it: organizations standardized on Microsoft 365, especially those on E5, with Windows-based analysts and data in Microsoft or SQL sources.

Who should avoid it: Mac-first teams, Google Workspace companies, and organizations that want a large free viewer audience without buying F64 capacity.

Tableau review

Tableau, a Salesforce company, is the most direct alternative to Power BI: a full visual analytics suite with a desktop authoring tool, a cloud service and a self-hosted server. Its pricing is role-based (Creator, Explorer, Viewer), and every deployment needs at least one Creator licence.

Key features

• Tableau Desktop authoring on Windows and Mac, plus browser-based web authoring in Tableau Cloud
• Tableau Prep Builder for data cleaning, included for Creators
• Tableau Pulse: AI-powered metric digests delivered by Slack or email
• Deployment choice: Tableau Cloud (hosted) or Tableau Server (self-hosted), with Tableau Bridge to reach on-premises data from Cloud
• Tableau Agent (AI assistant in authoring, Prep and Catalog) and Tableau MCP

Pricing

All Tableau Cloud prices are per user per month, billed annually on an annual contract.

• Standard edition: Creator $75, Explorer $42, Viewer $15. Up to 3 sites. Includes Tableau Pulse, and Tableau Desktop and Prep Builder for Creators.
• Enterprise edition: Creator $115, Explorer $70, Viewer $35. Adds Data Management, Advanced Management and eLearning, up to 10 sites.
• Cloud+ edition and Tableau+ Bundle: contact sales. Cloud+ adds Tableau Agent across Prep, authoring, Catalog and Pulse, and 50 sites. Tableau Next on its own starts at $40 per user per month, billed annually.
• Tableau Server (self-hosted): Standard "starting at $15" and Enterprise "starting at $35" per user per month, billed annually; Server+ through sales.
• Free options: Tableau Desktop Free Edition (analyze Excel, CSV and database files locally with full authoring) and Tableau Public (content is public). Tableau Cloud offers a free trial.

Capacity-based pricing, which gives broad Viewer access without a licence per Viewer, is available through sales.

Pros

• Desktop authoring on Mac as well as Windows
• Choice of hosted Cloud or self-hosted Server under the same product family
• Free Desktop edition for local analysis and Tableau Public for public data
• Deep visual analysis, data prep and AI features (Pulse, Agent)

Cons

• Clearly more expensive per seat than Power BI Pro
• Annual contracts only; no monthly billing
• AI features beyond Pulse sit in the higher-priced Cloud+ edition or Tableau Next

Who should use it: analytics teams that want a full Power BI replacement with Mac support, strong visual exploration and the option to self-host.

Who should avoid it: budget-limited teams with many viewers and no plan to negotiate capacity pricing.

Data Studio (formerly Looker Studio) review

Google renamed Looker Studio back to its original name, Data Studio, in April 2026. lookerstudio.google.com redirects to datastudio.google.com, existing reports are unaffected, and the paid tier is now Data Studio Pro. It is separate from Looker, Google Cloud's enterprise BI platform with LookML modeling, sold through sales.

Key features

• Free reports and dashboards for creators and viewers
• More than 1,400 data sources, including Google Sheets, Google Ads, BigQuery and Google Analytics, plus partner and community connectors
• Gemini in Data Studio (Pro only, in preview at no extra cost for now): create calculated fields from prompts and add report content to Google Slides. Conversational Analytics lets any user ask natural-language questions of BigQuery data agents
• Interactive multi-page reports with filters and controls, and real-time collaboration
• Access to BigQuery conversational agents and data apps from Colab notebooks from the home page

Pricing

• Data Studio: no charge for creators and viewers.
• Data Studio Pro: $9 per user per project per month, subscribed through a Google Cloud project (Google notes the per-user price varies by subscription length). Adds organization-owned content with IAM, team workspaces with Manager, Content Manager and Contributor roles, up to 200 delivery schedules per report, delivery to Google Chat, alerts, CMEK, data residency, the Looker mobile app and Google Cloud Customer Care. 30-day free trial with no user limit; billing starts automatically after it.

Pros

• Free for creators and viewers, with no seat count to manage
• Native connections to Google's own products and BigQuery
• Browser-based, so it works the same on Mac, Windows and Chromebooks
• Pro adds governance at a low per-user price

Cons

• No semantic modeling layer like LookML; that is Looker, a separate product sold through sales
• Free-edition content belongs to individual users unless you move to Pro
• Pro pricing is per user per project, so many projects multiply the cost

Who should use it: Google Workspace companies, marketing teams reporting on Google Ads and Analytics, and BigQuery users.

Who should avoid it: teams that need heavy data modeling, paginated reports or a self-hosted deployment.

Metabase review

Metabase is an open-source BI tool you can self-host for free or use as a managed cloud service. Non-technical users ask questions with a no-code query builder; analysts write SQL.

Key features

• No-code query builder plus a SQL editor
• AI questions and SQL generation, even in the free Open Source edition (bring your own AI key, or use Metabase's AI service at $3.75 per 1M tokens)
• 18 official database connectors (PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Databricks, ClickHouse, MongoDB, SQL Server and more) plus 11 community drivers
• Embedded analytics with an SDK, multi-tenancy, row and column security and white-labeling (Pro and Enterprise)
• Self-hosted or Metabase Cloud, under an AGPL open-source licence

Pricing

All prices exclude tax; yearly billing saves 10%. Both internal users and users of your embeds count as users.

• Open Source (self-hosted): free, unlimited users, unlimited questions and dashboards. You pay for your own hosting.
• Starter (Cloud): $100 a month billed monthly, or $1,080 a year, including the first 5 users. Extra users are $6 per user per month or $65 per user per year. 14-day free trial.
• Pro (Cloud or self-hosted): $575 a month billed monthly, or $6,210 a year, including the first 10 users. Extra users are $12 per user per month or $130 per user per year. Adds row and column permissions, SSO, caching controls, usage analytics and auditing, multi-tenant embedding and white-labeling. 14-day free trial.
• Enterprise: custom, starting at $20,000 a year, with a dedicated success engineer, a 1-day support SLA and an air-gap option.

Pros

• Free Open Source edition with unlimited users
• Flat base fees that include users, so small teams pay little
• Easy for non-technical users through the query builder
• Runs in the browser, so operating system does not matter

Cons

• Connects to databases and warehouses, not directly to SaaS apps; Stripe or HubSpot data goes through a warehouse first
• Row and column permissions and SSO need the Pro plan
• Self-hosting means you own upgrades, backups and uptime

Who should use it: teams with data in a SQL database or warehouse that want free self-hosting or a low flat Cloud fee.

Who should avoid it: teams that need ready-made connectors to dozens of SaaS apps without a warehouse in between.

Domo review

Domo is a cloud-native data platform covering connectors, ETL, dashboards, apps, workflows and AI in one product. It is now part of the Progress product portfolio, after Progress Software completed its acquisition of Domo's AI and data platform business.

Key features

• More than 1,000 pre-built connectors, Domo Workbench for on-premises databases, and Cloud Amplifier to query Snowflake, Databricks, BigQuery and others without moving data
• Drag-and-drop ETL, dashboards, alerts and scheduled reports
• Low-code App Studio and pro-code apps, plus workflows
• Domo AI, AI Chat, custom AI agents, an AI Agent Store and MCP access
• Embedded analytics for external, customer-facing dashboards

Pricing

• 30-day free trial: full platform, unlimited users, onboarding support and one training session, no credit card.
• Custom pricing: credit-based and by quote only. Credits are consumed by actions such as storing data, updating tables, running workflows and ML inference; failed processes do not consume credits. Users are unlimited with no per-user charges. You can also buy through cloud marketplaces using existing cloud commitments. Enterprise options include a dedicated account team, AWS PrivateLink and a HIPAA-compliant environment.

Pros

• Unlimited users with no per-user charges
• Covers ingestion, transformation, dashboards and apps in one platform
• Large connector library plus on-premises access through Workbench
• Generous 30-day trial with unlimited users

Cons

• No published prices; every deal is a quote
• Consumption credits make costs harder to forecast than a seat price
• Cloud only, with no self-hosted install

Who should use it: companies that want broad, organization-wide access without counting seats, and that prefer one platform for data pipelines and dashboards.

Who should avoid it: small teams that want a published price, and organizations that require on-premises hosting.

Zoho Analytics review

Zoho Analytics is a self-service BI tool from Zoho with cloud and on-premise editions, and the lowest published price here for small mixed teams.

Key features

• More than 500 connectors claimed (files, business apps, databases, data lakes and warehouses), including Google Drive, OneDrive, SharePoint, S3, Box and Dropbox
• Ask Zia, an AI agent for building reports, dashboards and data pipelines through conversation
• More than 80 visualization types, with unlimited reports and dashboards on paid plans
• 50+ business app connectors with prebuilt reports on Standard and above
• On-premise edition for a local server, AWS, Azure or Docker

Pricing

USD, local taxes extra. Yearly billing saves 20%. 15-day free trial of paid plans, no credit card.

• Free: 2 users, 10K rows, 5 workspaces.
• Basic: $24 a month billed yearly ($30 monthly). Starts at 2 users and 0.5M rows; any 2 business app connectors.
• Standard: $48 a month billed yearly ($60 monthly). Starts at 5 users and 1M rows; 50+ business app connectors.
• Premium: $115 a month billed yearly ($145 monthly). Starts at 15 users and 5M rows.
• Enterprise: $455 a month billed yearly ($575 monthly). Starts at 50 users and 50M rows.
• Add-ons: extra user $6.40 a month yearly ($8 monthly); 25 viewers $80 a month yearly ($100 monthly). Viewers can view and interact but cannot create or share.
• On-premise: Personal is free for 1 user; Professional is $30 per user per month billed annually (minimum 5 users) or a perpetual licence at $900 per user plus $180 maintenance; 30-day trial.

Pros

• Lowest published price for a team of builders plus viewers
• Free plan and an on-premise edition
• Wide range of connectors, including Microsoft and Google storage
• Browser-based, so Mac and Windows users get the same tool

Cons

• Row limits on every plan (0.5M on Basic), with paid add-ons for more
• Viewers and extra users are add-ons, so the headline price grows with headcount
• Price tables are long, with separate cloud and on-premise editions and many add-ons to compare

Who should use it: small and mid-sized businesses, especially Zoho users, that want low published prices and broad connectors.

Who should avoid it: teams with very large datasets that would push past row limits on lower plans.

Sisense review

Sisense is an embedded-analytics platform first: connect your data, model it and embed analytics in your own application. It can serve internal dashboards, but its product and plans are aimed at product teams building analytics into software their customers use, which makes it a different kind of Power BI alternative.

Key features

• Embedding by iframe or with the Compose SDK, a developer toolkit
• Full white-labeling on Enterprise
• 200+ connectors to warehouses, databases and cloud apps, with a data engine that can query live or cache
• Sisense Intelligence: natural-language questions, narratives, explanations, trend and anomaly detection; bring your own LLM on Enterprise
• Deployment on SaaS, your own cloud (AWS, Azure, GCP) or on-premises (Enterprise)

Pricing

• Self-Serve: "for startups and growing teams", with a "Try free" option. No price is shown. Connects to warehouses, databases and cloud apps, includes built-in AI and embedding by iframe or Compose SDK.
• Enterprise: contact sales. SaaS, own-cloud or on-prem deployment, HIPAA readiness, column-level security, SSO, a 99.99% Premium SLA, the full Sisense Intelligence suite with bring-your-own LLM, and full white-labeling.

Pros

• Built for embedding, with an SDK and white-labeling
• Flexible deployment, including on-premises
• AI features designed for customer-facing use
• Free start on Self-Serve

Cons

• No published prices on either plan
• Aimed at product teams, so internal-only BI buyers pay for capabilities they may not use
• Developer effort needed to get full value from the SDK

Who should use it: software companies that want to put dashboards and AI analytics inside their own product, especially those considering Power BI Embedded.

Who should avoid it: teams that only need internal reporting; Tableau, Metabase or Zoho Analytics are simpler for that.

Head-to-Head Comparison

Price transparency. Power BI, Tableau, Data Studio, Metabase and Zoho Analytics publish their prices. Domo and Sisense are quote-only. Power BI's Fabric capacity and Embedded prices are listed as variable on the Power BI page.

Mac support. Tableau Desktop installs on Mac. Data Studio, Metabase, Domo, Zoho Analytics and Sisense run in the browser. Power BI Desktop requires Windows, though reports can also be created in the Power BI service.

Free viewers. Data Studio is free for viewers outright. Metabase Open Source has unlimited users on your own servers. Domo has unlimited users within a credit-based contract. Power BI needs F64 or higher capacity for viewers without paid licences. Tableau offers capacity-based Viewer access through sales; otherwise each Viewer costs $15 a month or more.

Self-hosting and open source. Metabase is the only open-source tool here (AGPL). Metabase (Open Source and Pro), Tableau Server, Zoho Analytics On-Premise and Sisense Enterprise can run on your infrastructure. Power BI Report Server needs F64+ reserved capacity or SQL Server core licences. Data Studio and Domo are cloud only.

Data modeling depth. Power BI and Tableau lead, with Tableau Prep and Power BI's modeling and dataflows. Domo has drag-and-drop ETL in the platform. Metabase relies on your warehouse. Data Studio is a reporting layer; Google's modeling product is Looker.

AI. Every tool ships AI features (Copilot, Tableau Pulse and Agent, Gemini in Data Studio Pro, Ask Zia, Domo AI, Sisense Intelligence, Metabase AI questions). Check which tier includes them.

Embedding. Sisense is built for it. Power BI Embedded, Tableau's usage-based embedded licence, Metabase Pro, Domo's embedded analytics and Zoho Analytics also support it, with different pricing models.

How to Choose: Decision Framework

Questions to answer first

1. What operating systems do your report builders use? If they are on Macs, Power BI Desktop is the biggest friction point. Tableau Desktop or any browser-based tool removes it.
2. What is your ratio of builders to viewers? Per-user pricing (Power BI, Tableau) gets expensive with many viewers. Flat or credit-based pricing (Metabase, Zoho viewer packs, Domo) can be cheaper.
3. Where does your data live? Google sources point to Data Studio. A SQL warehouse suits Metabase. Many SaaS apps favor Domo or Zoho Analytics connectors.
4. Do you need to self-host? Shortlist Metabase, Tableau Server, Zoho Analytics On-Premise or Sisense Enterprise.
5. Are you building analytics into a product? Start with Sisense, and compare Metabase Pro and Power BI Embedded.

Red flags

• A quote-only vendor that won't give you a written estimate for your actual user and data volumes
• Consumption pricing with no clear way to see what each action costs before you scale
• Free tiers that let you build but not share (Power BI's free account cannot share)
• Row or data caps that your largest table already exceeds

What to test in a trial

• Rebuild your two most-used Power BI reports, including the hardest calculation
• Connect your real data source and run a scheduled refresh
• Share a dashboard with a viewer on another operating system and check permissions
• Check row-level security against your access rules

Worked cost example: 5 report builders and 20 viewers

This example uses only published prices, in USD, billed annually unless noted, for a team of 25 people: 5 who build reports and 20 who only view them. Taxes and hosting are not included.

• Power BI Pro: all 25 people licensed with Pro (free viewing needs F64). 25 x $14 = $350 a month ($4,200 a year). F64 capacity is not priced on the Power BI page.
• Power BI Premium Per User for everyone: 25 x $24 = $600 a month ($7,200 a year).
• Tableau Cloud Standard: 5 Creators x $75 = $375, plus 20 Viewers x $15 = $300. Total $675 a month ($8,100 a year).
• Tableau Cloud Enterprise: 5 x $115 = $575, plus 20 x $35 = $700. Total $1,275 a month ($15,300 a year).
• Data Studio: $0 on the free edition. If all 25 people were licensed for Data Studio Pro in one project: 25 x $9 = $225 a month.
• Metabase Open Source: $0 in licences; you pay for hosting.
• Metabase Starter (Cloud), yearly: $1,080 includes 5 users, plus 20 extra users x $65 = $1,300. Total $2,380 a year (about $198 a month). Billed monthly: $100 + 20 x $6 = $220 a month.
• Metabase Pro, yearly: $6,210 includes 10 users, plus 15 extra users x $130 = $1,950. Total $8,160 a year ($680 a month).
• Zoho Analytics Standard plus a viewer pack, yearly: $48 (5 users) + $80 (25 viewers) = $128 a month ($1,536 a year). Billed monthly: $60 + $100 = $160 a month. The Standard plan includes 1M rows.
• Domo: quote only (credit-based, unlimited users).
• Sisense: quote only.

On published prices, Data Studio and Metabase Open Source are the cheapest routes, Zoho Analytics is the cheapest paid option with a vendor-hosted service, and Tableau costs roughly twice Power BI Pro for this team. Power BI Pro costs nothing extra for anyone already covered by Microsoft 365 E5 or Office 365 E5.

The Verdict: Final Recommendations

• Tableau: a full replacement with Mac authoring, deep visual analysis and self-hosting, at a higher price.
• Data Studio: Google Workspace, Google Ads or BigQuery teams that want free reports for everyone.
• Metabase: open source, self-hosting with unlimited users, or a flat Cloud fee over a SQL warehouse.
• Zoho Analytics: the lowest published price for a mixed team.
• Domo: unlimited users on one platform, if you can negotiate a credit-based contract.
• Sisense: analytics inside your own product.
• Power BI: stay if you are on Microsoft 365 E5, your analysts use Windows and your data lives in Microsoft systems.

Conclusion

Power BI's per-seat price is low, but its real cost depends on how many people view reports, whether your builders use Windows and how deeply you want to commit to Microsoft Fabric. Shortlist two alternatives, rebuild your hardest report in each trial, and price your actual mix of builders and viewers before you sign.