Best Business Intelligence Tools (2026): Top 10 Compared

Power BI is Microsoft's business intelligence service. Authors build reports in Power BI Desktop, publish them to the Power BI service and share them with colleagues. Microsoft now presents Power BI as part of Microsoft Fabric, its wider data platform, and the pricing page groups Power BI plans alongside Fabric capacity options.

The published licence ladder has four steps. A free account lets an individual create reports but not share them. Power BI Pro costs $14 per user a month, paid yearly, and adds publishing and sharing. Premium Per User costs $24 per user a month, paid yearly, and adds enterprise-scale features. Power BI Embedded, which serves customer-facing analytics, is priced as variable and handled through sales.

The comparison table on the pricing page shows where the two paid per-user plans differ. Pro allows a model memory size of 1 GB, 8 dataset refreshes a day and 10 GB of storage per licence. Premium Per User raises the model limit to 100 GB, refreshes to 48 a day and storage to 100 TB. Advanced AI, advanced dataflows, datamarts and XMLA endpoint read and write access are marked for the higher tiers. Copilot and wider Fabric workloads sit with the capacity-based options.

Microsoft states that Pro is included in Microsoft 365 E5 and Office 365 E5. Academic, government and nonprofit pricing is available, and the page notes that prices shown are for marketing purposes and may vary by currency and region.

Tableau is Salesforce's analytics product and one of the longest-established names in visual business intelligence. The pricing page offers three deployment routes. Tableau Cloud is hosted by Salesforce. Tableau Server is run by the customer. Tableau Next is the newer agentic analytics product built on the Salesforce platform.

On Tableau Cloud, Tableau Standard starts at $15 per user a month, billed annually. It covers browser-based authoring, governance and collaboration, and includes Tableau Desktop, Tableau Prep Builder and Tableau Pulse, the product's metric-monitoring feature. Tableau Enterprise starts at $35 per user a month, billed annually, and adds Advanced Management, Data Management, 10 sites and eLearning. Tableau Cloud+ is quote-based and adds Tableau Agent in Tableau Cloud and Pulse, Premier Success, 50 sites and release preview access. The Tableau+ Bundle, also quote-based, pairs Tableau Cloud with Tableau Next.

The Server tab follows a similar structure. Tableau starts at $15 per user a month and Tableau Enterprise at $35, both billed annually, and Tableau Server+ is sold by quote with additional non-production environments and Premier Success. Prices are also shown in euros, pounds, Australian dollars, yen and Swedish krona.

The figures above are starting prices. Tableau licenses by role, so the cost of an author seat differs from the cost of a viewer seat. The summary page links to a detailed pricing page for that breakdown, which this review did not record.

Looker is Google Cloud's business intelligence platform. Its distinguishing idea is LookML, a modelling language in which a data team defines dimensions, measures and joins once, so that every dashboard and exploration uses the same metric definitions. The current offer is Looker (Google Cloud core), billed through a Google Cloud billing account.

Google's pricing page splits cost into two parts. Platform pricing covers running an instance, including administration, integrations and semantic modelling. User pricing covers named user licences, which vary by user type. The page describes three licence types. Developer Users can reach every interface, including LookML models in development mode, SQL Runner and the API. Standard Users can work with folders, boards, dashboards and Looks.

Three platform editions are offered. Standard is aimed at small organisations or teams with fewer than 50 users and allows up to 1,000 query-based and 1,000 administrative API calls a month. Enterprise adds enhanced security for a wide range of internal BI and analytics uses, with up to 100,000 query-based and 10,000 administrative API calls a month. Embed is built for external analytics and custom applications and has the highest API allowances. Every edition includes one production instance, 10 Standard Users, 2 Developer Users and upgrades.

All three editions are sold on annual commitments, with one-, two- and three-year terms available. Google publishes no figures for either the platform or the user licences. The page directs buyers to sales for each edition. Looker suits organisations that treat a consistent, governed metric layer as the main requirement and have data engineers who can write and maintain LookML.

Qlik Cloud Analytics is the hosted analytics product from Qlik, the company behind QlikView and Qlik Sense. Its associative engine lets users explore relationships across combined data sets, and the current plans add AI features such as Answers Agents and access to an MCP server.

Qlik prices by capacity rather than by seat. The pricing page compares the model to a phone plan: the customer pays a fixed fee for a set amount of data for analysis, which keeps the annual cost predictable. That amount is the data loaded into and saved in Qlik Cloud Analytics over the year.

Four tiers are listed, all billed annually. Starter costs $300 a month and includes 10 users and a fixed 10 GB of data. Extra users can be bought, but extra data cannot. It includes AI-powered analytics, standard connectors, dashboards, report automation and community support, with a 5 GB maximum app size. Standard costs $825 a month for 25 GB, sold in further 25 GB increments. It removes per-user charges and adds unstructured data with generative AI, governed shared spaces, more data source connectors and 24x7 support. Premium costs $2,750 a month for 50 GB and adds predictive analytics through automated machine learning, anonymous public access, SAP data extraction, lineage connectors, a 10 GB app size and guided onboarding. Enterprise starts at 250 GB, is priced by quote, and adds larger apps, multi-region tenants and a personalised success plan.

Qlik states that customers keep full access if they exceed capacity, but buyers should confirm how overage is handled at renewal.

Amazon Quick Sight is the business intelligence capability of Amazon Quick, AWS's broader suite of AI and analytics tools. AWS offers a pricing route for customers that only want the BI features. Authors connect to data, build dashboards and reports, and share them. Readers explore dashboards, receive email reports and download data.

Author seats cost $24 per user a month and include natural-language questions on structured data. Author Pro costs $40 per user a month. In regions where the newer Quick capabilities are available, Author Pro includes everything in Quick Enterprise at no additional cost. In other regions it adds generative AI features: building dashboards through conversation, creating Amazon Q Topics, AI-generated executive summaries, data stories and scenario analysis. AWS is also running a promotion that gives standard Authors access to all Quick Enterprise capabilities until 31 December 2026 in those regions.

Readers can be licensed in two ways. Per-user pricing starts at $3 a month per Reader and suits organisational BI with a known audience. Capacity pricing buys reader sessions and question capacity in bulk without provisioning individual users. AWS recommends it for embedded use or where audience size and frequency are hard to predict. Admin users are priced the same as Authors.

AWS also charges a $250 monthly infrastructure fee per account if the account has any Pro user or has Q&A enabled through topics or on dashboards.

Because AWS is repackaging the product inside Amazon Quick, buyers should confirm which regional capabilities and promotions apply before committing.

ThoughtSpot built its product around search: business users type questions in plain language and get charts back, rather than waiting for an analyst to build a dashboard. The current product, described as an agentic analytics platform, centres on Spotter, a set of AI agents for conversational analysis, data modelling, dashboard building and coding. ThoughtSpot also sells an embedded edition, which is covered on the StatWharf embedded analytics page. This entry covers the internal analytics product.

The pricing page shows two models. The per-user model starts at $25 per user a month, billed annually, for 5 to 50 users and up to 25 million rows, with interactive dashboards and actionable insights. A second tier at $50 per user a month, billed annually, adds AI-powered dashboards, natural-language search and Spotter agents limited to 25 queries a month per user, for up to 1,000 users and 250 million rows. An Enterprise tier with unlimited users and data is priced by quote.

The credit-based model starts at $0.10 per credit. It covers up to 1,000 users and 250 million rows, and includes Spotter agents with unlimited LLM tokens and Analyst Studio for advanced analytics. A matching Enterprise option removes the user and data limits and is priced by quote. ThoughtSpot states that it does not meter or charge for LLM tokens on these plans, although a customer that brings its own LLM provider pays that provider's fees.

Listed platform features include live connections to Snowflake, Databricks and Redshift, automated KPI monitoring with anomaly alerts, drill-downs without predefined paths, row-level security and single sign-on through SAML, OAuth and OIDC. Buyers should model expected AI query volume, because the per-user plan caps it while the credit plan does not.

Domo is a cloud platform that combines data integration, business intelligence, app building and AI in one product. Where several tools on this page expect a separate data warehouse and ETL tool, Domo includes connectors, drag-and-drop ETL and its own storage, and can also query external warehouses through a feature it calls Cloud Amplifier.

Pricing is credit-based. Domo states that credits are consumed by specific actions, such as storing data, updating tables, running workflows and using advanced capabilities like machine learning inference inside a data pipeline. There is no per-user charge, so a company can give every employee access without adding seat costs. Domo also states that failed processes do not consume credits. The pricing page links to further material on how credits map to actions and how to manage usage.

Two entry routes are listed. A 30-day free trial gives access to the full platform with unlimited users, onboarding support, self-service education and one training session, and needs no credit card. Custom pricing adds a dedicated account team, volume discounts, custom add-ons, support packages, AWS PrivateLink and a HIPAA-compliant environment. Domo can also be bought through cloud marketplaces, which lets buyers draw down existing cloud commitments.

The feature list covers four areas. Data integration includes connectors and ETL. BI and analytics includes dashboards, visualisations and embedded analytics. Domo AI includes custom agents, chat and model management. Workflows include alerts and scheduled reports. Governance features include SSO, encryption and observability.

No credit rate or starting price is published, so a quote is required.

Zoho Analytics is the self-service BI product from Zoho, the company behind Zoho CRM and a wide suite of business applications. Zoho describes it as an AI-powered BI and analytics platform and offers both cloud and on-premises editions. Users connect data, analyse it visually and build reports and dashboards.

The pricing page is organised around users and data rows. A free plan allows 2 users, 10,000 rows, 5 workspaces and unlimited reports and dashboards. Paid plans step up from 2 users and 0.5 million rows, to 5 users and 1 million rows, to 15 users and 5 million rows, and to 50 users and 50 million rows. A dedicated-compute option starts at 50 users and 500 million rows. Additional users, viewer packs sold in minimum blocks of 25, and extra rows can be bought as add-ons. Monthly and annual billing are both offered. The dollar figures on the page load dynamically and did not appear in the fetched copy, so they are not stated here. Buyers should read them directly from the page for their region, since Zoho notes that tax treatment varies by location.

Zoho separates users from viewers. A user can create and share workspaces, tables, reports and dashboards. A viewer can only view, interact with and explore content shared to them through a secure login, and cannot create or re-share reports.

Integration is a strength of the product. Data can be pulled from cloud drives, flat files, web feeds, cloud and on-premises databases, and data warehouses. For popular business applications, Zoho supplies ready-made reports, more than 100 per app connector. More than 80 visualisation types are available.

Strategy is the company formerly known as MicroStrategy, one of the older enterprise BI vendors. Its current platform pairs Strategy Mosaic, a semantic layer, with BI features for interactive dashboards, enterprise reports, AI agents and embedded analytics. Strategy describes the platform as designed for medium to large enterprise deployments, delivered across web, mobile and custom applications.

Three plans are listed. Standard is aimed at teams of 50 to 300 users, with pricing from $13 per user a month. It includes the Mosaic semantic layer, connections to more than 200 data sources, AI-powered data modelling and dashboards, and up to 150 GB of in-memory data capacity. Standard runs in Strategy's managed environment. Enterprise is a fully managed offering with expandable users and memory, custom AI agents, a multi-environment setup for high availability, a dedicated customer success team and the option to deploy to any hyperscaler. Government is FedRAMP authorised and hosted on AWS GovCloud. Enterprise and Government are priced by quote.

The FAQ on the pricing page adds several terms. Strategy states that it does not charge by data size or refresh frequency. It runs as containerised microservices on AWS, Azure, Google Cloud and STACKIT. Customers on Enterprise that deploy into their own cloud account can count usage towards existing commitments with that provider, which Standard does not allow. The vendor also lists HIPAA, GDPR, SOC 2 and ISO 27001 among the standards it meets.

Sigma is a business intelligence and application platform that runs on top of a cloud data warehouse. It does not copy data into its own store. Instead, Sigma sends queries to the customer's warehouse, so permissions, audit and lineage defined there continue to apply. Users can work through a spreadsheet-style interface, SQL, Python or chat, and Sigma now positions the product as a runtime for AI apps and agents built on governed warehouse data.

Beyond dashboards, Sigma emphasises write-back and workflow. Users can enter data through input tables and forms, trigger actions such as stored procedures and API calls, and build apps that combine analysis with operational steps. The vendor's examples include a finance planning portal, lifecycle marketing segmentation, an executive briefing workbook and commission reconciliation. These are vendor-published examples.

Licensing uses four tiers, described in Sigma's documentation. View suits report consumers, who can open workbooks, use predefined controls, add comments and ask Sigma Assistant questions in natural language. Act adds form submission, input-table editing, advanced actions, scheduled exports to email, Slack, Teams and cloud drives, and alerts. Analyze adds ad hoc analysis and an AI formula assistant for users who explore data without building workbooks. Build is for data architects, analysts and report builders who create workbooks, model data, write SQL, manage users and connections, and build apps. Account types map permissions to these tiers for billing.

Sigma does not publish prices. The documentation directs licence pricing questions to an account executive, and the pricing URL resolves to a contact page. Buyers should also budget for warehouse compute, since every Sigma interaction can generate warehouse queries.