Best AI Analytics Platforms in 2026: ThoughtSpot, Sisense, Qlik, Databricks and Tellius Compared

ThoughtSpot caps its AI analyst at 25 questions per person each month, and Databricks bills every single one of them by the second. Every enterprise analytics platform now ships an AI agent that answers questions in plain English. The real difference in 2026 is what happens after someone on your team actually starts asking it things.

This guide compares five platforms teams put on a shortlist together: ThoughtSpot, Sisense, Qlik, Databricks and Tellius. They split along a line that has nothing to do with whether the AI works, since all five now answer natural-language questions against live data. It comes down to who caps a query, who prices by data volume instead of seats, and who was never built to compete on price at all. We checked each vendor's current pricing page directly rather than repeating what a review site guessed.

How to Choose Between Them in 2026

Start with who is asking the questions, not what the platform can technically do. A self-service tool that a marketing manager can drive alone is a different purchase from an embedded analytics layer a product team ships inside its own SaaS app.

Three things actually separate these five, and a fourth worth checking before you sign anything.

• Who pays for the AI, and how. ThoughtSpot meters Spotter at 25 queries per user per month on its Pro tier. Databricks meters nothing by user; it bills Genie by the DBU, its consumption unit, once a free allowance runs out. That is a fixed budget versus an open tab.

• Seats or data volume. ThoughtSpot and Tellius price per user. Qlik prices by gigabytes of "data for analysis," which means a team of 200 people on a small dataset can pay less than a team of five on a large one.

• Self-service or embedded. Sisense is built to be white-labeled inside someone else's product. The other four are built for internal dashboards first, though a determined product team can bend most of them toward embedding with enough engineering time.

• Implementation time. A self-service tool like ThoughtSpot or Tellius can be running in a day. A capacity-priced or embedded deal like Qlik's or Sisense's usually needs a real onboarding project, often several weeks, before the first dashboard reaches an end user.

If you run analytics for a company under 50 people, three of these five platforms are already too much for what you need today. Keep reading; the last section names which ones, and why paying for headroom you will not use for two years rarely pays off.

ThoughtSpot Caps Its AI Agent, and That Is the Point

ThoughtSpot lists three self-serve tiers on its own pricing page. Essentials runs $25 per user per month, billed annually, for 5 to 50 users and up to 25 million rows of data. Pro runs $50 per user per month for up to 1,000 users and 250 million rows. Enterprise is custom, with unlimited users and data.

Every tier above Essentials includes Spotter, ThoughtSpot's AI agent, but Spotter is capped at 25 queries per user per month even on the Enterprise tier. Ask more than that and the extra queries cost more. ThoughtSpot also runs a Developer program for embedded use: free for one year, up to 10 users, up to 25 million rows.

Limitation: the query cap is the same at every price point above Essentials. A power user who leans on Spotter daily will hit 25 questions well before the month ends.

Sisense Fits Inside Someone Else's Product

Sisense does not publish a single price on its own site. The plans page routes straight to a demo request, with no dollar figure anywhere on it as of this month. That is consistent with what the platform is built for: white-labeled analytics embedded inside a SaaS product, sold to the vendor's own customers rather than to an internal team.

Its Compose SDK lets a product team drop dashboards and AI-generated insights into their own application under their own brand, and its Elasticube in-memory engine is built to keep that experience fast at scale. That combination is also why Sisense's embedded analytics sits on a sales-led buying process rather than a self-checkout one: an OEM deal has too many variables (data volume, end-user count, white-label terms) for one flat number to make sense.

Limitation: with no published price, you cannot compare Sisense against the other four without a call. That is a real cost in evaluation time, not just a minor annoyance.

Qlik Prices by Data, Not by Seat

Qlik Cloud Analytics inverts the usual model. Starter costs $300 a month, billed annually, for 10 users and a fixed 10 GB of "data for analysis." Standard starts at $825 a month for 25 GB, and here is the part worth noticing: additional users cost nothing on Standard and above. Premium starts at $2,750 a month for 50 GB and adds predictive analytics through automated machine learning; Qlik marks it as its most popular plan. Enterprise starts at 250 GB, custom quote.

That structure rewards a large team on a small, focused dataset and punishes a small team analyzing everything it has. A 40-person finance team looking at ten years of transaction history will outgrow the data cap long before it needs more than 10 named users. A 300-person sales org running the same handful of dashboards for everyone, by contrast, barely moves the data meter no matter how many people log in each morning.

Limitation: "data for analysis" is not a number most teams have measured before they start shopping, which makes the sticker price hard to translate into a real budget on day one.

Databricks Is the Platform Teams Grow Into

Databricks is not really competing for the same first purchase as the other four. It is a lakehouse platform for data engineering, machine learning and analytics together, and its pricing reflects that: consumption-based, billed per DBU, with no monthly minimum.

Data Engineering workloads start at $0.15 per DBU. Data Warehousing, the SQL and BI layer most relevant to this comparison, starts at $0.22 per DBU. Interactive data science and machine learning work starts at $0.40 per DBU. AI features (model serving, AI functions, agent tooling) start at $0.07 per DBU. Databricks' Genie, its natural-language assistant, starts at $0.07 per DBU once a free usage allowance is used up.

A team that starts on Databricks for BI alone is usually paying for capability it will not touch for a year. The reason teams end up there anyway is that the same platform later handles the machine learning workloads a pure BI tool cannot.

Limitation: per-second, per-DBU billing across five separate product categories makes a monthly bill genuinely hard to forecast before you have a few months of real usage behind you.

Tellius Is Sized for the Team Too Small for the Others

Tellius publishes no dollar amount anywhere on its pricing page. It lists two tiers by name only: Premium, capped at up to 10 users, and Enterprise, unlimited users, both marked "Customized." A free trial is available on Premium without talking to sales first.

What Tellius is selling is agentic root-cause analysis: point it at a metric that moved, and its agents investigate why without a human writing the query. That is a narrower promise than the full BI suites above it, and the 10-user cap on Premium signals who it is actually built for: a small analytics team, not a company-wide rollout.

Limitation: with zero published pricing on either tier, Tellius is the hardest of the five to budget for sight unseen.

Head to Head: Where Each One Actually Wins

For a 20-person startup building its first internal dashboards, ThoughtSpot's Essentials tier at $25 a user is the cheapest way in that still includes an AI agent, even a capped one. For a SaaS company that wants analytics inside its own product under its own logo, nothing else on this list does that as directly as Sisense.

A 200-person sales org running the same three dashboards for everyone fits Qlik's per-data pricing better than per-seat tools, because the headcount stops being the cost driver. A company already storing raw data in Databricks for machine learning gains its BI layer almost for free in engineering terms, since the data never has to leave.

A mid-market SaaS company already paying Sisense for its embedded customer dashboards has less reason to add a second, separate platform for internal reporting than the other four names on this list suggest; the Compose SDK covers both jobs at once, even if that was not the original purchase reason. And a five-person analytics team inside a 400-person company that has outgrown spreadsheets but not its headcount is closer to Tellius's 10-user Premium cap than to anything priced for a company-wide rollout.

None of the five wins on every axis, and a vendor that claimed otherwise would be selling, not comparing.

The Turn: "Just Start a Free Trial" Does Not Settle This

The obvious objection to all of the above is that free trials exist precisely to make this comparison unnecessary. Try ThoughtSpot for two weeks, try Qlik for two weeks, and let the product decide.

That works for evaluating whether the natural-language search actually understands your questions. It does not work for the two things that determine your real annual cost: how many Spotter queries your team burns through in a normal month, and how many gigabytes your actual dataset occupies once loaded. Both of those only show up after 30 to 60 days of real use, well past most trial windows. Budget for the second month's bill, not the first week's demo.

Who Should Skip All Five

A team under 15 people with one dashboard and no dedicated data hire should skip this entire category for now. Every platform here assumes someone owns data modeling as part of their job, even the self-service ones. Spreadsheet tools with a built-in AI summary feature, or a lightweight BI tool not covered here, will get that team further per dollar until the team itself grows past what one person can maintain by hand.

Enterprises already committed to a legacy BI stack should also pause before switching. Migration cost, not the sticker price of any of these five, is usually the number that decides the deal, and none of it shows up on a pricing page. Rebuilding 200 dashboards on a new platform routinely costs more in analyst hours than a full year of the new subscription, which is the argument every incumbent vendor makes and, in this specific case, the honest one.

What Would Change This

If any of these five moves to flat, unlimited AI-agent queries at a fixed seat price, the axis this whole comparison is built on disappears, and the choice collapses back to plain feature checklists. Watch ThoughtSpot's next pricing revision first: it is the only one of the five with a published, numbered cap, which makes it the easiest one to watch for a change.

Frequently asked questions

What is the main difference between ThoughtSpot and Sisense?

ThoughtSpot sells self-service dashboards priced per user, starting at $25 a month on its Essentials tier. Sisense is built to be embedded inside another company's product under that company's own brand, and it publishes no price at all, routing every deal through a sales call instead.

How much does Qlik Cloud Analytics cost?

Qlik's Starter plan costs $300 a month for 10 users and a fixed 10 GB of data for analysis. Standard starts at $825 a month for 25 GB, and every plan above Starter adds unlimited users at no extra charge, since Qlik prices by data volume rather than seat count.

Is Databricks a business intelligence tool?

Not primarily. Databricks is a lakehouse platform for data engineering, machine learning and analytics, and its BI layer, Data Warehousing, is one of five separately billed product categories starting at $0.22 per DBU. Teams usually adopt it for BI once they already store data there for other workloads.

Does Tellius publish its pricing?

No. Tellius lists two tiers, Premium and Enterprise, both marked "Customized," with no dollar figure published on its own pricing page. Premium is capped at up to 10 users, which signals it is built for small analytics teams rather than company-wide rollouts.

Which of these platforms has a free tier?

None of the five offers a permanent free tier for full self-service use. ThoughtSpot comes closest with a free-for-one-year Developer program capped at 10 users and 25 million rows, aimed at embedded use cases rather than general BI.

Covered in this guide

• Databricks: Unified Lakehouse platform for data engineering, analytics, and AI, founded 2013, valued at $134B, with consumption pricing from $0.07 per DBU.
• Qlik: Data analytics and integration platform used by 40,000+ organizations worldwide.

Sources

• ThoughtSpot Pricing
• AI analytics plans
• Qlik Cloud Analytics Plans and Pricing
• Databricks Pricing
• Tellius Pricing