AI Data & Analytics pricing compared
What 4 ai data & analytics tools actually cost — free tiers, the cheapest paid plan, and where each free plan runs out. Each figure is taken from the vendor’s own pricing page and dated, so you can see when we last checked.
| Tool | Free tier | Cheapest paid plan | Verified |
|---|---|---|---|
| Powerdrill | Yes | $13.27/mo · Pro | 14 Jul 2026 |
| Julius AI | Yes | $16/mo · Basic | 14 Jul 2026 |
| Hex | Yes | $36/Editor/month · Paid tier 1 | 14 Jul 2026 |
| Deepnote | Yes | $39/editor/month · Team | 14 Jul 2026 |
Prices are as published by each vendor and may be region-specific — many vendors price by country. Confirm on the vendor’s page before buying.
Sorted cheapest paid plan first. A “free tier” means there is a genuinely free plan — tap through to any tool to see the full tier breakdown and exactly where the free plan stops. We list no fabricated prices: where a vendor only quotes “contact sales” we say so.
What drives ai data & analytics pricing
Two meters run in parallel here: an editor seat and an AI-usage allowance layered on top. The seat is per person who builds notebooks or analyses, Deepnote at $39 per editor, Hex at $36 to $75 per editor per month, and viewers are typically free, so cost tracks your analyst count not your audience. Bolted onto that, the AI features are metered as completions or credits: Deepnote limits AI calls on Free, and Julius and Powerdrill are credit-denominated, Julius selling annual credit bundles (24,000 up to 840,000 credits a year) across its $16 to $416 range. The important nuance is that "editor" versus "viewer" is the primary seat lever, since analytics tools have many consumers of dashboards but few authors, and the AI credit pool is the secondary lever that heavy natural-language querying can exhaust independently of seat count. Enterprise tiers add compute add-ons like custom Docker images.
How to choose on price
Count your editors, not your viewers, because that is what you actually pay for, and dashboards are usually consumed by many more people than build them. A team of three analysts and fifty dashboard readers pays for three editor seats on Hex or Deepnote, so do not let total headcount scare you into overbuying. Then size the AI allowance separately: if your team leans on natural-language querying and auto-analysis, the credit pool, not the seat, is the binding constraint, and Julius's or Powerdrill's cheaper tiers can starve heavy users. The false economy is a low editor price with a thin AI credit grant that forces mid-month top-ups. Free tiers are real for solo exploration but cap AI completions quickly, so they suit evaluation and light personal analysis, not a working data team. Take annual credit bundles like Julius's only when your monthly AI query volume is predictable enough to size them.
AI Data & Analytics pricing FAQ
Am I paying per user or per AI query in analytics tools?
Usually both, on two separate meters. You pay an editor seat (Deepnote $39, Hex $36-$75 per editor) for each person building analyses, plus an AI allowance metered as completions or credits on top. The seat covers the notebook; the credit pool covers natural-language querying and auto-analysis. Heavy AI use can exhaust the credits independently of how many seats you hold.
Do viewers of dashboards need paid seats?
Generally no. These tools price the editor, the person authoring notebooks and analyses, while people who only view dashboards are typically free or far cheaper. Since analytics work has many consumers and few authors, your real cost tracks the small number of editors, so count builders rather than total headcount when sizing a plan.
How do AI credits deplete in tools like Julius and Powerdrill?
Each natural-language question, code generation, or auto-analysis draws down credits, and Julius sells them in annual bundles from 24,000 up to 840,000 credits a year across its tiers. Complex, iterative analysis consumes credits faster than simple queries, so a low tier that looks affordable can starve a heavy user and force top-ups; size the bundle to expected query volume.
Is the free analytics tier enough for a data team?
Only for solo, occasional work. Free tiers on Deepnote and Hex give a working editor but cap AI completions quickly, which suits evaluation or light personal analysis. A working team with multiple editors and regular AI querying will hit both the seat and the AI-call limits fast and need a paid editor plan with a real credit allowance.
See the full breakdown
Open any tool for its complete pricing tiers, free-tier limits, screenshot and honest review.