kitio.aiDatabricks vs PVML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Databricks starts at See pricing page and PVML starts at See pricing page. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Genie natural-language analytics
- Databricks Assistant
- Notebooks and SQL warehouse
- Unity Catalog
- Agent Bricks
- Unlimited virtual databases
- No data movement or duplication
- Built-in security controls
- Governance for AI agents
- Runs on existing infrastructure
| Feature | Databricks | PVML |
|---|---|---|
| Best for | Data and AI platform with Genie for natural-language analytics | Secure virtual databases for running AI on existing data |
| Category | Data & analytics | Data & analytics |
| Pricing model | Freemium | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | Yes | No |
| Made by | Databricks | PVML |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Databricks starts at See pricing page and PVML starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Community Edition
Free
- Free, limited platform
- For learning Spark
Pay as you go
Per DBU, varies by product
- Usage-based billing
- Free trial available
Committed Use
Contact sales
- Discounts for committed spend
- Invoice or annual billing
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Databricks
- One platform for data and AI
- Strong governance
- Scales to huge workloads
- Usage costs can surprise teams
- Complex for small companies
PVML
- Leaves data where it already lives
- Targets AI agent permission risks
- Works with existing infrastructure
- Demo required, no public pricing
- Aimed at enterprise IT teams
- Few product details on the homepage
Which one should you choose?
Choose Databricks if you want:
- One platform for data and AI
- Strong governance
- Scales to huge workloads
Watch out: usage costs can surprise teams.
Choose PVML if you want:
- Leaves data where it already lives
- Targets AI agent permission risks
- Works with existing infrastructure
Watch out: demo required, no public pricing.
Databricks vs PVML FAQ
What is the difference between Databricks and PVML?
Databricks: Data and AI platform with Genie for natural-language analytics. PVML: Secure virtual databases for running AI on existing data. Both are data & analytics tools.
Is Databricks or PVML cheaper?
Databricks starts at See pricing page and PVML starts at See pricing page. Check both pricing pages for current plans.
Do Databricks and PVML have free plans?
Databricks: Yes. PVML: No.
Who makes Databricks?
Databricks is made by Databricks, based in United States.
Who makes PVML?
PVML is made by PVML.
Which should I choose, Databricks or PVML?
Choose Databricks if you value one platform for data and ai and strong governance. Choose PVML if you value leaves data where it already lives and targets ai agent permission risks.