Best BI tools with usage-based pricing for occasional users and growing teams (2026)

The BI tools with real usage-based pricing in October 2026 are Domo (credits per data refresh and dataflow run, unlimited users), ThoughtSpot (credits per query from $0.10), Amazon Quick Sight (Reader sessions at $250 for 500 per month), Databricks AI/BI (no BI license, standard DBU compute), and Snowflake Cortex Analyst (67 credits per 1,000 messages). Sigma, Hex, Metabase, and Cube Cloud charge seats or a platform fee and meter specific events on top. Basedash charges a flat $1,000 per month for up to 25 users and meters only AI usage above an included credit pool. For occasional users, the session, credit, and no-license models cost the least per person.

This guide compares the ten tools on what they meter, whether seats still exist, how AI is billed, and where the extra costs show up. Every price was checked against the vendor’s official pricing page or documentation on October 9, 2026. If you are still choosing between the two pricing models in general, start with our usage-based vs per-seat BI pricing guide. For list prices of per-seat tools such as Power BI, Tableau, and Looker, see BI tool pricing in 2026.

Which BI platforms have usage-based pricing?

Vendors use “usage-based” for three different shapes, and the shape decides your budget:

• Pure consumption, no BI seat: Domo (credits), ThoughtSpot’s usage plans (credits per query), Databricks AI/BI (DBUs), and Snowflake Cortex Analyst (Snowflake credits per message). Adding a viewer costs nothing; activity does.
• Session or capacity pricing for readers: Amazon Quick Sight sells Reader sessions in bulk, so occasional viewers do not need a $3 per month Reader license each. Authors are still per user.
• Seats or a platform fee plus event meters: Sigma (seats plus credits for input-table writes, API actions, report exports, and agent messages), Hex (editor seats plus compute and AI credits), Metabase (platform fee plus AI tokens, transform runs, and storage), Cube Cloud (developer seats plus hourly compute), and Basedash (flat platform fee plus AI usage above included credits).

Tools that sell only per-user or quote-only contracts with no published meter (Tableau, Looker, Omni, Power BI Pro) are out of scope. Microsoft Fabric capacity is closer to reserved compute than per-use billing, so it is covered in the pricing post linked above.

How we evaluated usage-based BI pricing

We built the comparison around the questions buyers actually ask AI assistants and Google, such as “best BI platforms with usage-based pricing for occasional users”, “find BI platforms with usage-based pricing for queries and refreshes”, and “what should I budget for a usage-based, browser-only BI tool with generative AI insights for a 15-person sales org”. Six criteria came out of them:

1. The metered unit. Queries, sessions, table refreshes, compute hours, messages, tokens, or file exports. This is the line that moves on your invoice.
2. Whether seats still exist. Some tools have unlimited users; others meter on top of per-user licenses.
3. What an occasional viewer costs. A person who opens two dashboards a month is where the models differ most.
4. How AI is billed. Included in the plan, a per-user cap, a credit pool, or per token.
5. The entry point. Free tier, trial length, and minimum commitment.
6. Charges outside the BI bill. Warehouse compute triggered by the BI tool, vendor-managed storage, and AI provider fees.

Usage-based BI pricing compared (October 2026)

All prices verified on October 9, 2026 against the sources linked in each section below. Enterprise contracts on every tool are negotiable.

Domo

Best for: companies that want to give dashboards to a large, intermittent audience without counting users.

• Pricing (verified October 9, 2026): credit-based consumption with custom pricing, no published list price, and a 30-day free trial with no credit card (pricing). Domo told investors on its Q4 FY2026 earnings call that 84% of ARR is on consumption.
• What is metered: 1 credit per table created or updated by an ingestion job regardless of row count, 1 credit per dataflow execution (custom Python scripts cost more), storage at 1 credit per million materialized rows per month only when Domo hosts the data, and fractional credits per AI interaction (consumption model). The number of cards, dashboards, apps, and users does not affect the bill.
• Deployment and data: Domo cloud; connectors plus Cloud Amplifier for querying Snowflake, BigQuery, or Databricks in place, where Domo charges nothing for storage.
• Governance: SSO is listed on the pricing page; row and column policies through Personalized Data Permissions.
• AI: AI Chat, custom AI agents, and ML in the data pipeline.
• Embedding: embedded analytics is listed on the pricing page.
• Not ideal for: teams that refresh many tables many times a day, because each refresh of each table is a credit.

Domo’s meter tracks refresh frequency, not data volume, so a 100,000-row table refreshed hourly costs more than a 50-million-row table refreshed daily. Domo says failed jobs never consume credits. Ask for the rate card and a monthly cap before signing.

ThoughtSpot

Best for: search-first teams that want the bill to follow how many questions get asked.

• Pricing (verified October 9, 2026): two ways to buy (pricing). User plans: Essentials from $25 per user per month (5 to 50 users, up to 25 million rows) and Pro from $50 per user per month (up to 1,000 users, 250 million rows), billed annually. Usage plans: Pro from $0.10 per credit with up to 1,000 users. Enterprise is custom on both. The embedded Developer plan is free for a year for up to 10 users.
• What is metered: on query-based usage, “in most cases, one credit is consumed for every query.” A chart from a search is usually one query, while pivot tables, stacked charts, Liveboards with many visualizations, scheduled Liveboards, monitors, and SpotIQ generate several (query-based usage docs). Base-credit packages run on one-year terms.
• AI: Spotter agents. ThoughtSpot states it does not meter LLM tokens; user plans include 25 Spotter queries per user per month, and usage plans list unlimited LLM tokens.
• Governance: row-level security, embedded SSO via SAML, OAuth, and OIDC.
• Data: live connections to Snowflake, Databricks, Redshift, and other warehouses.
• Not ideal for: dashboard-heavy audiences, where one Liveboard load can fire a query per visualization.

ThoughtSpot has the most direct answer to “BI with usage-based pricing for queries and refreshes”: you pay per query, and scheduled refreshes and monitors count as queries too. Model the Liveboard query count, not only the number of searches.

Amazon Quick Sight

Best for: AWS teams with many occasional viewers, or embedded dashboards where the viewer count is unknown.

• Pricing (verified October 9, 2026): Authors $24 per user per month (Author Pro $40); Readers $3 per user per month (Reader Pro $20), or Reader capacity at 500 sessions for $250 per month and $0.50 per extra session, with annual tiers from 50,000 sessions for $20,000 down to $0.16 per extra session at the top tier (pricing). A session is 30 minutes.
• Other meters: Amazon Q question capacity (500 questions for $250 per month), SPICE in-memory storage at $0.38 per GB per month beyond the 10 GB included per Author, alerts and anomaly detection from $0.50 per 1,000 metrics evaluated, and pixel-perfect report units.
• The account fee: $250 per account per month once any Pro user exists or Q&A is enabled.
• Refreshes: capacity pricing is required for programmatic dashboard refresh for near real-time rendering.
• Governance: row-level security with user-based rules, or tag-based rules for anonymous embedded viewers, on Enterprise edition (RLS docs).
• Not ideal for: teams outside AWS, or teams that want AI included without a separate account fee.

Quick Sight is the cleanest match for “usage-based pricing for occasional users”: a viewer who opens one dashboard a month costs a single $0.50 session at most, not a seat.

Databricks AI/BI

Best for: companies already on Databricks that want dashboards and natural language Q&A without a BI license.

• Pricing (verified October 9, 2026): “There are no additional license fees to use AI/BI. Standard Databricks Lakehouse DBU rates apply” (AI/BI product page). Dashboards and Genie queries run on a SQL warehouse, billed as compute.
• Genie: each user gets 150 free DBUs of Genie LLM usage per month (150 DBUs is $10.50 in US East), with pay-as-you-go above that; SQL compute is billed separately (Genie pricing). Genie One and Genie Agents are free for users until January 31, 2027, and billed Genie usage gets a 25% discount during that period (consumption guide).
• Governance: permissions, metrics, and lineage come from Unity Catalog, which AI/BI requires.
• Embedding: AI/BI Dashboards can be embedded in business applications; the Genie API connects Genie to Teams, Slack, or your own interface.
• Not ideal for: teams whose data is not in Databricks, or who need a BI tool across several warehouses.

The free Genie promotion makes pilots cheap but hides the steady-state cost. Databricks recommends estimating equivalent cost from the free-usage SKU in system.billing.usage before you budget for February 2027.

Snowflake Cortex Analyst

Best for: Snowflake-only teams that want text-to-SQL on one bill and one governance model.

• Pricing (verified October 9, 2026): the standalone Cortex Analyst API costs 67 Snowflake credits per 1,000 messages, and only successful responses count (Service Consumption Table, effective October 2, 2026). Running the generated SQL adds normal warehouse compute. Token count does not affect cost unless you call Cortex Analyst through Cortex Agents, which bills per token (Cortex Analyst docs).
• Seat charge: none; identity and access are Snowflake’s.
• Governance: Snowflake roles, row access policies, and masking policies.
• Monitoring: credits and message counts per user in the CORTEX_ANALYST_USAGE_HISTORY view.
• Not ideal for: dashboards or multi-warehouse teams. Cortex Analyst is an API that answers questions over a semantic model, so you still need a front end.

At 67 credits per 1,000 messages, 1,000 questions cost 67 credits multiplied by your account’s credit price, plus the warehouse time to run them. Earlier versions of this guide described Cortex Analyst as token-billed; Snowflake’s documentation says the direct API is billed per message.

Sigma

Best for: spreadsheet-style analysts on Snowflake, BigQuery, or Databricks, where the meter applies only to write-back, actions, exports, and agents.

• Pricing (verified October 9, 2026): Sigma no longer shows prices on its website; credit pricing comes from an account executive (billable usage docs). The free trial lasts 7 days and excludes SCIM, API actions, and email burst exports (trial docs).
• What is metered: 1 credit per input-table row created, updated, or deleted in a published workbook (up to 100 per action); 1 credit per API or stored procedure call triggered by an action; 1 credit per unique file from report exports; and, starting November 1, 2026, 0.1 credit per message sent to a Sigma agent. Viewing dashboards, workbook exports, Sigma Assistant, and the Sigma MCP server use no credits.
• Query model: live queries against the warehouse, so the warehouse bills compute separately.
• Governance: row-level security through user attributes and teams.
• Not ideal for: buyers who want zero seat cost; account-type licenses remain the main line item.

Sigma’s own example: a monthly email burst of individual reports to 125 recipients costs 125 credits, while one identical file sent to 50 people costs 1. Teams planning heavy agent use should budget for agent messages before November.

Hex

Best for: data teams in notebooks that pay for big machines only when a job needs one.

• Pricing (verified October 9, 2026): Community is free; Professional $36 and Team $75 per editor per month; Enterprise custom with an Explorer seat add-on. Team has a 14-day free trial with no card (pricing).
• What is metered: compute above Medium, billed per minute: Large $0.32 per hour up to 4XL at $2.58 per hour, and GPU profiles from $2.93 per hour. Medium and below are free on paid plans, and pay-as-you-go compute is opt-in on Team and Enterprise.
• AI: credits consumed by effort. Professional and Team include monthly per-seat grants that do not roll over, with add-on credits available; Enterprise grants are set on the order form.
• Governance: OIDC SSO, audit logs, and BYOK on Enterprise; SOC 2 Type II and HIPAA.
• Embedding: an add-on on Enterprise.
• Not ideal for: large business audiences, since every editor is a paid seat.

Metabase

Best for: teams that want a published price, a free self-hosted option, and small meters for optional features.

• Pricing (verified October 9, 2026): Open Source is free. Starter is $100 per month with 5 users included, then $6 per user. Pro is $575 per month with 10 users included, then $12 per user. Enterprise starts at $20,000 per year. People who view embeds count as users (pricing).
• What is metered: Metabase’s AI service at $3.75 per million tokens with 1 million included (most teams bring their own provider key instead); transforms at $0.01 per run after 1,000 included on Starter and Pro; advanced transforms at $0.02 per run on cloud; and storage for uploaded data from $2 per million rows, with 1 million rows free. Self-hosted transforms are unlimited.
• Governance: row and column permissions, SSO, usage analytics, and auditing on Pro.
• Embedding: unlimited embedded charts and dashboards on Pro and Enterprise, with multi-tenant data segregation.
• Not ideal for: large audiences on a usage-only budget; every person, including embed viewers, counts as a user.

Cube Cloud

Best for: platform teams that run a semantic layer as a service and point other BI tools, agents, or apps at it.

• Pricing (verified October 9, 2026): a free tier (up to 5 workbooks, 1,000 requests per day); Starter $40 and Premium $80 per developer per month; Explorer $40 and Viewer $20 per user per month on Premium; Enterprise custom (pricing).
• What is metered: hourly compute. A dedicated deployment costs $0.60 per hour on Starter and $1.20 on Premium; extra API instances cost $0.15 or $0.30 per hour; small Cube Store caching workers cost $0.15 or $0.30 per hour per worker. Starter has a daily request limit (10,000 shared, 50,000 dedicated); Premium is unlimited.
• Governance: SSO with SAML and SCIM, audit logging, and VPC peering on Enterprise.
• AI: semantic model and dashboard agents, analytics chat, and an MCP server from the free tier; embedded analytics chat on Premium.
• Not ideal for: teams that want a dashboard tool, not a semantic layer to build on.

Cube’s billing changed since our September version, which described Cube Consumption Units. The current page lists compute by the hour. A Starter dedicated deployment running all month is about $438 for compute alone (730 hours at $0.60), before seats and caching workers.

Basedash

Best for: teams of up to 25 that want a fixed monthly BI cost, no charge per viewer, and AI as the only variable line.

• Pricing (verified October 9, 2026): Startup is $1,000 per month plus AI usage for up to 25 users, with $1,000 per month in AI credits included; Enterprise is custom. Both have a 14-day free trial with no credit card (pricing).
• What is metered: “Most AI actions count towards your usage, like asking a question in chat or generating a dashboard.” Usage above the included credits is billed on the next invoice and shown in the app’s Billing section. The pricing page lists no separate charge for dashboard views or refreshes.
• Data volume: the Basedash Warehouse is included in both plans and its storage is not capped, and the data ingestion connectors to 750+ sources carry no per-connector or per-row ETL bill.
• Databases: native connections to PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Redshift, Databricks, ClickHouse, and others (data sources); query model is live queries against the connected database.
• Governance: row-level security through PostgreSQL policies (Postgres only); SAML and OIDC SSO, SCIM, and audit logs on Enterprise.
• AI: the AI data analyst answers questions in chat and builds charts and dashboards, plus automations, insights, the Slack app, and an MCP server on every plan.
• Embedding and deployment: embedding and self-hosting on Enterprise.
• Not ideal for: a team of three on a small budget, buyers who want a pure per-query meter with no platform fee, row-level security on non-Postgres sources, or SSO without an Enterprise contract.

Basedash is a flat platform fee with a usage component, not a pure meter. It costs more than Metabase Starter or a handful of Quick Sight sessions for a small team. Its cost per person falls as the team grows toward 25, and a heavy month of AI questions or automations can go past the included credits.

Which usage-based BI tool should you choose?

• Many occasional viewers on AWS: Amazon Quick Sight Reader sessions. Light readers cost cents a month, not a seat.
• Many occasional viewers, any cloud, with heavy data prep: Domo. Users are free, and the meter is on refreshes and dataflows.
• You want to pay per query: ThoughtSpot usage plans, from $0.10 per credit with no LLM token metering.
• Your data already lives in Databricks or Snowflake: Databricks AI/BI or Snowflake Cortex Analyst. Both put BI or text-to-SQL on the warehouse bill with no BI license.
• A team of 10 to 25 that wants one predictable number: Basedash Startup at $1,000 per month, or Metabase Pro at $575 per month plus $12 per user over 10. Basedash includes the AI data analyst and AI credits; Metabase AI is bring-your-own-key or $3.75 per million tokens.
• Spreadsheet analysts on Snowflake who write back data: Sigma, as long as you budget input-table, export, and (from November) agent credits.
• Notebook data teams: Hex, which charges per editor plus the compute you choose.
• A semantic layer under several tools: Cube Cloud, with hourly compute and per-developer seats.

What extra costs come with usage-based BI pricing?

• Warehouse compute. Sigma, ThoughtSpot, Databricks AI/BI, Cortex Analyst, and live-query tools such as Basedash run SQL on your warehouse, and that compute appears on the Snowflake, BigQuery, or Databricks bill. Our guide to cutting warehouse costs from BI dashboards covers the main levers.
• Account and platform fees. Quick Sight adds $250 per account per month once Q&A or a Pro user is enabled. Cube’s dedicated deployment bills every hour it runs.
• Exports and schedules. Sigma charges per unique exported file, and ThoughtSpot counts scheduled Liveboards and monitors as queries.
• AI past the included amount. Hex, Metabase, Basedash, and Databricks Genie all include some AI and bill beyond it. Sigma agents start billing on November 1, 2026, and Databricks’ Genie promotion ends January 31, 2027.
• Vendor-managed storage. Domo charges for rows it hosts, Metabase for uploaded rows past 1 million, and Quick Sight for SPICE beyond the included 10 GB per Author.

Frequently asked questions

What are the best BI platforms with usage-based pricing for occasional users?

For people who open a dashboard a few times a month, pick a model where a light user costs little or nothing. Amazon Quick Sight sells Reader sessions at $250 for 500 per month and $0.50 per extra 30-minute session, so a light reader costs well under a $3 seat. Domo and Databricks AI/BI have no per-user fees at all, since the cost sits in data refreshes or warehouse compute. ThoughtSpot’s usage plans charge per query from $0.10 per credit. Basedash includes up to 25 users in a flat $1,000 monthly plan, so occasional users add nothing until the 26th person.

Which BI platforms bill by queries or data refreshes instead of seats?

ThoughtSpot’s usage plans charge about one credit per query, and scheduled Liveboards, monitors, and SpotIQ runs count as queries too. Domo charges one credit each time an ingestion job creates or updates a table, plus one per dataflow run, whatever the row count. Snowflake Cortex Analyst charges 67 credits per 1,000 answered messages. Databricks AI/BI bills the SQL compute each dashboard query uses. Sigma meters input-table writes, actions, and exports but not dashboard views. Quick Sight needs capacity pricing for programmatic near real-time refresh. Basedash meters AI actions, not views or refreshes.

Are there BI tools with usage-based pricing that stay cheap until data volume grows?

Most BI meters track activity, not data size, so a large but quiet dataset stays cheap. Domo bills per table refresh no matter how many rows it holds, and charges for storage only when Domo hosts the data. ThoughtSpot counts queries, and Cortex Analyst counts messages. Volume costs show up when the vendor stores your data: Metabase charges $2 per million uploaded rows after the first million, and Quick Sight charges $0.38 per GB of SPICE beyond the included allocation. Basedash includes its managed warehouse with uncapped storage in the Startup plan. Warehouse compute still grows with query volume on any live-query tool.

How do usage-based pricing models for cloud BI tools compare to traditional per-seat licenses?

Per-seat licenses charge for every named user whether they log in or not. That is easy to forecast but overpays for light viewers. Usage-based pricing charges for activity, such as queries, sessions, refreshes, or AI messages, so idle users are free but a busy month costs more. In October 2026, ThoughtSpot sells both models side by side: Pro at $50 per user per month or usage plans from $0.10 per credit. Quick Sight lets the same account mix $3 Reader seats with session capacity. A practical rule is to put frequent users on seats and occasional users on a meter when the vendor allows it.

What usage-based pricing models should I expect for cloud-native BI platforms with built-in generative AI?

Expect four patterns. Some vendors include AI in the plan: ThoughtSpot does not meter LLM tokens, though user plans cap Spotter at 25 queries per user per month. Some grant a monthly credit pool: Hex gives each seat a grant, and Basedash includes $1,000 per month of credits. Some charge per message or question: Sigma agents at 0.1 credit per message from November 1, 2026, Quick Sight at $250 for 500 Q questions, and Cortex Analyst at 67 credits per 1,000 messages. Others charge per token or DBU: Metabase’s AI service at $3.75 per million tokens and Databricks Genie above 150 free DBUs per user.

What should I budget for a usage-based, browser-only BI tool with generative AI insights for a 15-person sales org?

At October 2026 list prices, a 15-person sales team runs roughly $340 to $1,000 per month before AI overage and warehouse compute. Basedash Startup is $1,000 per month for up to 25 users with $1,000 of AI credits included. ThoughtSpot Pro is $750 per month on annual billing (15 users at $50) with 25 Spotter queries per user. Metabase Pro is $635 per month (10 users included plus five at $12), with AI on your own provider key or $3.75 per million tokens. Quick Sight with 2 Authors and 13 Readers, Q&A enabled, is about $337 per month including the $250 account fee. Domo is quote only.

What hidden costs should I watch for when comparing usage-based pricing for cloud BI platforms?

Five costs rarely appear on the BI quote. First, warehouse compute from live queries, billed by Snowflake, BigQuery, or Databricks. Second, account fees, such as Quick Sight’s $250 per month once Q&A is enabled. Third, per-file export charges: a Sigma email burst to 125 recipients costs 125 credits. Fourth, the end of promotions, including free Databricks Genie One usage on January 31, 2027 and free Sigma agents on November 1, 2026. Fifth, always-on compute, such as a Cube dedicated deployment at $0.60 to $1.20 per hour. Ask each vendor for a usage dashboard and a spending cap before rollout.

What are the pros and cons of subscription versus pay-as-you-go pricing for AI BI software?

A subscription, per seat or flat, gives finance a fixed number and lets people ask AI questions freely, but you pay for idle seats and outgrow tiers. Pay-as-you-go makes idle users free and keeps pilots cheap, but costs move with activity and AI agents can multiply them: one agent question can trigger many queries. Hybrids are now the most common design. ThoughtSpot offers both, Basedash pairs a flat fee with AI credits, and Hex pairs seats with compute. Choose subscription when usage is steady, pay-as-you-go when audiences are large and occasional, and require a spending cap either way.

Can you compare the total cost of ownership between running an open-source BI stack and subscribing to a managed AI analytics platform?

Open-source BI such as Metabase Open Source or Apache Superset has no license fee, but you pay for servers, backups, upgrades, engineering time, and your own AI provider. Metabase Pro on cloud is $575 per month for 10 users, and Basedash Startup is $1,000 per month for up to 25 users with AI credits, a managed warehouse, and connectors included. Enter your own numbers in our BI total cost of ownership calculator, or see the full BI cost breakdown.

All pricing in this guide was re-verified against each vendor’s official pricing page or documentation on October 9, 2026. List prices are the starting point for negotiation, especially on annual and enterprise contracts.