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10 Best Business Intelligence Tools of 2026
This list is for data and analytics teams choosing the platform they will use to build dashboards and give the rest of the business self-serve reporting. It covers the large BI suites (Power BI, Tableau, Qlik Sense, Looker, Domo), warehouse-native and AI-first tools (Sigma Computing, ThoughtSpot), and lower-cost options (Metabase, Zoho Analytics, Preset). We compared documented features and published prices for 10 tools. Scores weigh features at 40%, ease of use at 30% and value at 30%.
By the Mojolin research desk · Updated November 9, 2026 · 10 tools compared · Prices checked on vendor pages, latest November 9, 2026
Questions or corrections: editorial@mojolin.com
Mojolin is self-funded How we score
Microsoft Power BI is our top pick for most data teams: authors build in the free Power BI Desktop app, Pro seats cost $14 per user per month paid yearly, and companies on Microsoft 365 E5 already have Pro included. Tableau is the runner-up for analysts who value visual exploration and polished dashboards, with Tableau Pulse for metric tracking. Metabase is the fastest route to self-serve reporting for small teams, free as open source or $100 a month in the cloud. Teams with a cloud warehouse should look at Sigma Computing, teams that want plain-language search should look at ThoughtSpot, and teams that need one governed metric layer should look at Looker.
Top picks
Best overall
Microsoft Power BI
9.1 / 10
Data teams in Microsoft 365 companies that need low per-seat cost for wide report sharing.
Read the review →Runner-up
Tableau
8.7 / 10
Analyst teams that care most about visual exploration and polished, interactive dashboards.
Read the review →Also great
Metabase
8.6 / 10
Startups and lean data teams that want self-serve dashboards running in minutes at a low fixed price.
Read the review →Comparison table
| # | Tool | Pricing | Score | |
|---|---|---|---|---|
| 1 | Microsoft Power BI | Data teams in Microsoft 365 companies that need low per-seat cost for wide report sharing. | Free account for building reports; Pro $14 per user per month and Premium Per User $24 per user per month, paid yearly | 9.1 |
| 2 | Tableau | Analyst teams that care most about visual exploration and polished, interactive dashboards. | See vendor pricing (USD check pending) | 8.7 |
| 3 | Metabase | Startups and lean data teams that want self-serve dashboards running in minutes at a low fixed price. | Open Source edition free with unlimited users; Starter $100 per month with 5 users, then $6 per user; Pro $575 per month | 8.6 |
| 4 |  Sigma Computing | Data teams on Snowflake, Databricks or BigQuery that want spreadsheet-savvy business users working on live warehouse data. | See vendor pricing (USD check pending) | 8.5 |
| 5 |  ThoughtSpot | Teams that want business users to ask questions in plain language instead of waiting for new dashboards. | Essentials from $25 per user per month billed annually for 5 to 50 users; Pro from $50 per user per month; Enterprise custom; free Developer plan for embedding | 8.4 |
| 6 |  Zoho Analytics | Small and mid-size businesses that want affordable self-serve reporting across many business apps. | Free plan for 2 users and 10K rows; paid plans: see vendor pricing (USD check pending) | 8.3 |
| 7 |  Qlik Sense | Mid-size and enterprise teams that want analytics, data movement and report automation from one vendor. | Starter from $300 per month for 10 users, billed annually; Standard from $825 per month; Premium from $2,750 per month; Enterprise by quote | 8.2 |
| 8 |  Domo | Companies that want to roll BI out to every employee without counting seats. | 30 day free trial; credit-based custom pricing with unlimited users and no per-seat fees | 8.1 |
| 9 |  Looker | Data teams that need one governed metric layer for dashboards, AI agents and embedded apps. | Platform and user licenses by quote from Google Cloud sales; Standard, Enterprise and Embed editions | 8.1 |
| 10 |  Preset | Data teams that like open source Apache Superset but do not want to host it. | Starter free for up to 5 users; Professional $20 per user per month billed annually or $25 monthly; Enterprise custom | 8.1 |
Scoring weights
Every tool gets three editorial scores out of 10, from vendor documentation, product pages and the published price. The overall score is the weighted average below, the same method on every list. Full method
The full ranking
Rank 1 · Best overall
Microsoft Power BI
Microsoft's BI service for building interactive reports in Power BI Desktop and sharing them across Microsoft 365, now part of Microsoft Fabric.
microsoft.com9.1
out of 10
Best for: Data teams in Microsoft 365 companies that need low per-seat cost for wide report sharing.
Power BI is the default pick for most data teams because the price of putting reports in front of the whole business is low. Analysts build reports in the free Power BI Desktop app, publish them, and colleagues with a Pro license at $14 per user per month, paid yearly, can view and share them. Companies on Microsoft 365 E5 or Office 365 E5 already have Pro included, which removes the seat question for many enterprises.
Microsoft now sells Power BI as part of Microsoft Fabric, so data teams can connect sources into OneLake, model data and use Copilot to explore and explain results in the same place. Premium Per User at $24 adds larger models and more frequent refreshes for heavy datasets. The trade-offs are licensing complexity once you add Fabric capacity or Power BI Embedded, both priced as variable, and a product that fits best when people already work in Teams, SharePoint and Excel.
Standout feature
A free authoring app plus $14 Pro seats makes wide sharing affordable.
Use cases
BI developers
Build a sales report in Power BI Desktop and publish it to a shared workspace
Outcome: One governed report the sales org opens in Teams
Finance teams
Refresh monthly close dashboards on a larger Premium Per User model
Outcome: Faster refreshes on big ledgers
Product teams
Embed Power BI reports in a customer portal
Outcome: Branded analytics without building charts in house
Key features
- Power BI Desktop, a free app for building interactive reports
- Copilot in Microsoft Fabric for exploring and explaining data
- Sharing in Microsoft Teams, PowerPoint and SharePoint
- Premium Per User with larger model sizes and more frequent refreshes
- Power BI Embedded for customer-facing reports in your own app
Pros
- Pro at $14 per user per month is the lowest list seat price among the big BI suites
- Power BI Pro is included in Microsoft 365 E5 and Office 365 E5
- Free Desktop app and free account, no credit card required
Cons
- Sharing reports needs a Pro or Premium license
- Embedded and Fabric capacity pricing is variable and harder to forecast
- Works best for teams already on Microsoft tools
Rank 2 · Runner-up
Tableau
Visual analytics platform from Salesforce with Tableau Cloud, Tableau Server and Tableau Desktop, plus Tableau Pulse metrics and Tableau Agent.
tableau.com8.7
out of 10
Best for: Analyst teams that care most about visual exploration and polished, interactive dashboards.
Tableau remains the reference point for visual analytics. Authors build views by dragging fields in Tableau Desktop or web authoring, and the chart library covers heatmaps, box plots, Gantt charts, symbol and filled maps, tree maps and more. Each user gets a Creator, Explorer or Viewer license, and the site role caps what they can do, so analysts can publish while the wider business explores or views.
For self-serve reporting, Tableau Pulse turns definitions into metrics that business users follow, with insight summaries in Slack and links from breakdown charts to related workflows. Tableau Agent adds a conversational pane that suggests questions, builds charts and writes calculated fields, but it needs a Tableau Cloud site with Tableau+ and AI enabled. Teams can run Tableau Cloud or host Tableau Server themselves. The pricing page blocked our requests, so we could not confirm current USD seat prices; check the vendor page before budgeting.
Standout feature
The deepest visual exploration on this list, with Pulse metrics for business users.
Use cases
Analytics teams
Publish an executive dashboard with drill-downs from Tableau Desktop
Outcome: A shared view leaders filter on their own
Business users
Follow a revenue metric in Tableau Pulse from Slack
Outcome: Changes flagged without opening a dashboard
New analysts
Ask Tableau Agent to create a calculated field
Outcome: Working formulas without memorizing syntax
Key features
- Drag and drop visual analysis in Tableau Desktop and web authoring
- Creator, Explorer and Viewer licenses that set what each user can do
- Tableau Pulse metrics with insights delivered in Slack
- Tableau Agent for building views and calculated fields in natural language
- Deployment as Tableau Cloud or self-managed Tableau Server
Pros
- Wide chart vocabulary, from Gantt and box plots to filled maps
- Role-based licenses let viewers cost less than authors
- Tableau Pulse pushes metric changes to business users
Cons
- Tableau Agent needs Tableau+ or a trial with AI turned on
- Pricing page could not be checked in USD from our location
- Licensing by role and site needs planning for large rollouts
Rank 3 · Also great
Metabase
Open source BI tool for questions, dashboards and embedded analytics, available self-hosted for free or as Metabase Cloud.
metabase.com8.6
out of 10
Best for: Startups and lean data teams that want self-serve dashboards running in minutes at a low fixed price.
Metabase is the quickest way for a small data team to give the business self-serve reporting. Business users build questions by clicking through tables and filters, analysts write SQL when they need to, and both end up on the same unlimited dashboards. The Open Source edition is free with unlimited users if you host it, and AI questions on your preferred model plus an MCP server are listed on every tier.
Metabase Cloud Starter costs $100 a month, or $1,080 a year, with five users included and $6 per extra user. Pro at $575 a month adds what larger teams eventually ask for: row and column level permissions, SSO, caching controls, usage auditing and white-label multi-tenant embedding. Enterprise starts at $20,000 a year. The semantic modeling and governance are lighter than Looker or Power BI, so Metabase fits best where speed and cost matter more than a strict metric layer.
Standout feature
A free open source edition with unlimited users and a $100 cloud starting plan.
Use cases
Startup data leads
Self-host the Open Source edition on a Postgres replica
Outcome: Company dashboards with no license cost
Operations managers
Build a click-based question on order delays
Outcome: Answers without filing a ticket
SaaS product teams
Embed multi-tenant dashboards for customers on Pro
Outcome: Customer analytics with per-tenant data segregation
Key features
- Questions built by clicking or written in SQL
- Unlimited questions and dashboards on every plan
- AI questions on your preferred model and an MCP server
- 20+ supported data sources
- Row and column level permissions and multi-tenant embedding on Pro
Pros
- Free Open Source edition with unlimited users
- Starter includes 5 users, extra users cost $6 per month
- 14 day free trial on paid cloud plans
Cons
- Row and column level permissions and SSO need Pro at $575 per month
- Embedded users count toward paid seats
- Enterprise starts at $20,000 per year
Rank 4
Sigma Computing
Warehouse-native BI with a spreadsheet interface, dashboards, write-back input tables and AI agents that query live cloud data.
sigmacomputing.com8.5
out of 10
Best for: Data teams on Snowflake, Databricks or BigQuery that want spreadsheet-savvy business users working on live warehouse data.
Sigma is built for teams whose data already lives in a cloud warehouse. Instead of extracting data, Sigma queries Snowflake, Databricks, BigQuery, Redshift and other platforms live, and the workbook looks like a spreadsheet, so finance and operations staff can pivot, filter and write formulas without learning a new BI interface. Analysts can switch to SQL or Python in the same workbook.
Self-serve reporting goes further than dashboards here. Input tables write edits back to the warehouse, forms and actions turn reports into small apps, and Sigma Agents handle recurring checks. Governance follows the warehouse: queries run with the viewer's own permissions down to the row, and audit logs record who built, changed or asked what. Sigma does not publish prices, so you need a quote, and your warehouse compute bill grows with usage even though Sigma reuses cached results where it can.
Standout feature
Spreadsheet-style analysis and write-back directly on live warehouse data.
Use cases
FP&A teams
Plan budgets in an input table that writes back to Snowflake
Outcome: Forecasts stored next to actuals
Analytics engineers
Publish a governed data model business users explore as a spreadsheet
Outcome: Fewer ad hoc extract requests
Supply chain managers
Set up an agent that flags stock running low
Outcome: Reorder lists posted to Slack
Key features
- Spreadsheet, SQL and Python workbooks on live warehouse data
- Input tables that write edits back to the data platform
- Pixel-perfect reports and interactive dashboards
- Sigma Agents and Sigma Assistant for questions in plain language
- Embedded analytics with white-label options
Pros
- Queries run with each viewer's warehouse permissions down to the row
- Familiar spreadsheet interface for finance and ops users
- Audit logs cover builds, changes and AI conversations
Cons
- Needs a cloud data warehouse or data platform underneath
- No public price list
- Warehouse compute costs add to the Sigma bill
Rank 5
ThoughtSpot
AI analytics platform built around natural-language search, Spotter AI agents and dashboards, with Analyst Studio for advanced work.
thoughtspot.com8.4
out of 10
Best for: Teams that want business users to ask questions in plain language instead of waiting for new dashboards.
ThoughtSpot approaches self-serve reporting through search. Business users type questions in plain language and get charts back, and Spotter AI agents extend that into conversational analysis. Dashboards and automated insights sit on top, and Analyst Studio gives the data team a space for advanced analytics in the same platform. ThoughtSpot also acquired Mode, which brought its SQL and notebook tools into the company.
Pricing is published. Essentials starts at $25 per user per month billed annually for 5 to 50 users and up to 25M rows of data. Pro starts at $50 per user per month, raises limits to 1,000 users and 250M rows, and includes Spotter with 25 queries per user each month, while Enterprise lifts the caps. A free Developer plan covers up to 10 users for embedding. Search works best when the data team models clean, well-named tables first, so plan that work before a rollout.
Standout feature
Search-first analytics with published per-user prices and no LLM token metering.
Use cases
Sales leaders
Search for pipeline by region and quarter in plain language
Outcome: Answers without a new dashboard request
Data teams
Model clean tables and let Spotter answer follow-up questions
Outcome: Fewer one-off report tickets
SaaS developers
Embed search-driven analytics with the free Developer plan
Outcome: A prototype of in-product analytics at no cost
Key features
- Natural-language search and data exploration
- Spotter AI agents, with unlimited LLM tokens on higher tiers
- AI-powered dashboards and automated insights
- Analyst Studio for advanced analytics
- Embedding API and SDK, with a free Developer plan
Pros
- Essentials starts at $25 per user per month
- ThoughtSpot does not meter LLM tokens
- Free Developer plan for up to 10 users when embedding
Cons
- Essentials caps at 50 users and 25M rows
- Spotter on Pro is limited to 25 queries per user per month
- Enterprise pricing only by quote
Rank 6
Zoho Analytics
Self-service BI platform with 500+ connectors, a drag-and-drop pipeline builder, 50+ chart types and Zia AI agents.
zoho.com8.3
out of 10
Best for: Small and mid-size businesses that want affordable self-serve reporting across many business apps.
Zoho Analytics packs a full self-service BI stack into a low-cost subscription. It connects to more than 500 sources, including Zoho's own apps, other SaaS tools and databases, and a drag-and-drop pipeline builder with more than 250 transforms handles preparation without code. Business users build reports from more than 50 chart types, and Zia, the AI agent, can explain what happened, suggest visualizations, write SQL and formulas, and build dashboards.
There is a permanent free plan for 2 users and 10K rows with unlimited reports and dashboards. Paid tiers are Basic, Standard, Premium and Enterprise, starting at 2, 5, 15 and 50 users with row limits from 0.5 million to 50 million, and yearly billing saves 20%. Prices loaded in a non-USD currency from our location, so we have not listed a USD figure. The row caps mean growing datasets push you up tiers faster than seat counts do.
Standout feature
A permanent free plan and 500+ connectors in a low-cost suite.
Use cases
Small business owners
Connect accounting and CRM apps into one dashboard
Outcome: A weekly view of sales and cash
Marketing teams
Blend ad platform data with a pipeline builder
Outcome: Campaign reporting without spreadsheets
Analysts
Ask Zia to draft SQL for a new report
Outcome: Faster first drafts of complex queries
Key features
- 500+ connectors to files, business apps, databases and warehouses
- Drag-and-drop data pipelines with 250+ transforms
- 50+ chart types for reports and dashboards
- Zia agents that explain data, build dashboards and write SQL
- Row-level security, embedding and an MCP server
Pros
- Permanent free plan for 2 users and 10K rows
- Paid plans start at 2 users, so small teams can stay small
- Yearly billing saves 20% according to the pricing page
Cons
- Paid USD prices did not load from our location
- Plans are capped by rows as well as users
- Advanced data preparation rows are limited to higher tiers
Rank 7
Qlik Sense
Qlik Cloud Analytics, the platform behind Qlik Sense, with associative analytics, AI agents, automation and Qlik Talend data integration.
qlik.com8.2
out of 10
Best for: Mid-size and enterprise teams that want analytics, data movement and report automation from one vendor.
Qlik Sense now ships as Qlik Cloud Analytics, and the plans combine dashboards with data movement and automation. Every tier connects to hundreds of sources with standard connectors and can move relational and SaaS data in with Qlik Talend Cloud. The no-code automation builder handles scheduled report generation and delivery, which suits teams that still send recurring PDFs to stakeholders.
Starter costs from $300 a month billed annually and includes 10 users with a fixed 10 GB of data for analysis. Standard, from $825 a month, is priced on data capacity instead of seats and adds no-cost extra users, managed spaces for governance and analysis of unstructured data. Premium from $2,750 a month adds automated machine learning and public access. Qlik is a strong platform, but authors face a steeper learning curve than in lighter tools, and the data capacity model needs sizing before you sign.
Standout feature
Standard is priced on data capacity with no charge for extra users.
Use cases
Small businesses
Start on Starter with 10 users and connect ERP and CRM data
Outcome: Shared dashboards for a fixed monthly cost
BI teams
Automate weekly report delivery with the no-code builder
Outcome: Stakeholders get reports without manual exports
Enterprise analysts
Add predictive models on Premium
Outcome: Forecasts next to historical dashboards
Key features
- Interactive visualizations and dashboards over 100s of standard connectors
- Answers Agents and an MCP server for AI-powered analytics
- No-code automation builder that triggers actions across systems
- Automated report generation and delivery
- Predictive analytics with automated machine learning on Premium
Pros
- Starter includes 10 users and 10 GB of data
- Standard has no cost for additional users
- Data movement with Qlik Talend Cloud is built into the plans
Cons
- Starter data capacity is fixed at 10 GB
- Plans are billed annually
- Interface has more to learn than Metabase or Zoho Analytics
Rank 8
Domo
Cloud BI and data apps platform with ETL, dashboards, workflows and ML, sold on credit-based pricing with unlimited users.
domo.com8.1
out of 10
Best for: Companies that want to roll BI out to every employee without counting seats.
Domo removes the seat question entirely. Contracts include unlimited users, and you pay in credits consumed when you store data, update tables, run workflows or use ML inference. For a data team trying to put dashboards in front of every manager, that removes the license negotiation that slows rollouts in seat-based tools, and Domo states that failed processes do not consume credits.
The platform covers more than dashboards: data integration, workflows, data science tools and apps are part of the same subscription. The 30 day free trial includes full platform access, guided onboarding and one training session, and paid contracts add a dedicated account team, volume discounts and options such as AWS PrivateLink and a HIPAA compliant environment. Domo publishes no credit price, so costs only become clear through sales, and heavy refresh schedules can consume credits quickly.
Standout feature
Unlimited users on credit-based pricing, with a 30 day full-platform trial.
Use cases
COOs
Roll dashboards out to every store manager
Outcome: Company-wide access without seat budgets
Data teams
Build ETL and dashboards in the same platform
Outcome: Fewer tools to maintain
IT buyers
Buy Domo with existing cloud marketplace commitments
Outcome: Use committed spend instead of new budget
Key features
- Credit-based pricing with no per-seat fees
- Data storage, table updates and workflows in one platform
- ML inference included in the credit model
- Full platform access in the 30 day free trial
- Procurement through cloud marketplaces
Pros
- Unlimited users on every contract
- 30 day free trial, no credit card required
- Failed processes do not consume credits
Cons
- No public price per credit
- Costs depend on data volume and workflow activity
- Credit usage needs monitoring as adoption grows
Rank 9
Looker
Google Cloud's BI platform built on the LookML semantic layer, with conversational analytics powered by Gemini and Looker Embedded.
cloud.google.com8.1
out of 10
Best for: Data teams that need one governed metric layer for dashboards, AI agents and embedded apps.
Looker is the choice for data teams that want governance first. Analysts define metrics once in LookML, a semantic layer above the cloud warehouse, and every dashboard, Look and AI agent uses the same definitions. Google now positions Looker as an agentic BI platform: conversational analytics powered by Gemini lets business users ask questions in natural language, Dashboard Agents sit inside dashboards, and the Looker MCP Server connects outside agents to the governed model.
Pricing has two parts, a platform fee for the instance and user licenses. Standard targets teams under 50 users, Enterprise adds security features and higher API limits, and Embed is for external analytics; each platform includes 10 Standard Users and 2 Developer Users. Every edition is priced through sales. LookML is powerful but needs developer time, so Looker pays off for teams with an analytics engineer to own the model.
Standout feature
LookML gives dashboards and AI agents a single governed metric layer.
Use cases
Analytics engineers
Define revenue and churn once in LookML
Outcome: Every dashboard shows the same numbers
Business users
Ask a Gemini-powered agent about last quarter's results
Outcome: Answers grounded in governed metrics
Product teams
Build customer analytics with Looker Embedded
Outcome: In-app reporting on the same model
Key features
- LookML semantic layer that defines governed business metrics once
- Conversational analytics and Dashboard Agents powered by Gemini
- Looker MCP Server for connecting AI agents
- Looker Embedded for custom data experiences
- Developer, Standard and Viewer user licenses
Pros
- One metric definition shared by dashboards and AI agents
- Each platform includes 10 Standard Users and 2 Developer Users
- Standard edition targets teams under 50 users
Cons
- No published prices; every edition goes through sales
- LookML modeling needs dedicated developer time
- Viewer users cannot create dashboards
Rank 10
Preset
Managed cloud service for Apache Superset with no-code charts, a SQL editor, a semantic layer and embedded dashboards.
preset.io8.1
out of 10
Best for: Data teams that like open source Apache Superset but do not want to host it.
Preset is a managed cloud service for Apache Superset, the open source BI project. Every plan includes unlimited dashboards and charts, more than 40 visualization types, a no-code chart builder, a collaborative SQL editor and a semantic layer, so analysts and business users can both build. Because the core is open source, a team can move to self-hosted Superset later without rebuilding everything.
Starter is free forever for up to 5 users in one workspace. Professional costs $20 per user per month billed annually, or $25 monthly, and adds unlimited users, three workspaces, role-based access, scheduled email reports and Slack alerts, with a 14 day trial. SSO, SCIM, dbt integration and audit logs are Enterprise features. Superset has fewer polished business-user features than Power BI or Tableau, so Preset fits SQL-comfortable teams best.
Standout feature
Managed Apache Superset with a free 5-user plan and $20 seats.
Use cases
Small data teams
Start on the free Starter plan with 5 users
Outcome: Shared dashboards at no cost
Analysts
Write SQL in the collaborative editor and save results as charts
Outcome: Quick path from query to dashboard
SaaS teams
Embed dashboards with viewer licenses
Outcome: Customer analytics without building a chart layer
Key features
- Unlimited dashboards and charts with 40+ visualization types
- No-code chart builder and collaborative SQL editor
- Semantic layer on every plan
- Scheduled email reports, alerts and Slack integration on Professional
- Embedded dashboards as an add-on
Pros
- Free Starter plan for up to 5 users
- Professional is $20 per user per month billed annually
- Built on Apache Superset, so you can self-host if you leave
Cons
- Starter is limited to 1 workspace
- SSO, dbt integration and audit logs need Enterprise
- Embedded viewer licenses start at $500 per month for 50 viewers
Frequently asked questions
+What is the best business intelligence tool in 2026?
Microsoft Power BI is our top pick for most data teams because Pro seats cost $14 per user per month paid yearly, the Desktop authoring app is free, and it shares reports across Microsoft 365. Tableau is the best alternative for deep visual exploration.
+What is the best free BI tool?
Metabase's Open Source edition is free with unlimited users if you host it yourself. Preset has a free Starter plan for up to 5 users, Zoho Analytics has a free plan for 2 users and 10K rows, and Power BI has a free account and Desktop app for building reports.
+Which BI tool is best for self-serve reporting?
For business users who prefer spreadsheets, Sigma Computing works on live warehouse data with a spreadsheet interface. ThoughtSpot lets users ask questions in plain language, and Metabase lets them build questions by clicking through tables.
+Which BI tools have unlimited users?
Domo includes unlimited users on its credit-based pricing, Qlik Standard has no cost for additional users, and Metabase Open Source has free unlimited users. Most others charge per user or include a set number of users per plan.
+Is Looker worth it for a small team?
Looker's Standard edition targets teams under 50 users and includes 10 Standard Users and 2 Developer Users, but pricing comes only from sales and LookML needs developer time. Small teams without an analytics engineer usually get started faster with Metabase or Power BI.
About this list
Updated November 9, 2026 by the Mojolin research desk. Mojolin is self-funded
Questions or corrections: editorial@mojolin.com
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