Databricks vs PVML
Databricks vs PVML, compared side by side on 22 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Databricks is on 82/100 and PVML on 54/100.
Where each one leads
Databricks
- our overall score: 82/100 against 54/100
- agent readiness: 49/100 against 21/100
- domain rating: 88/100 against 24/100
- headcount: 15,082 against 18
- funding raised: $37B against $8.0M
- LinkedIn following: 1,191,281 against 1,033
PVML
- headcount growth: +98.6% against +27.1%
At a glance
| Measure | Databricks | PVML |
|---|---|---|
| What it is | A unified data analytics and AI platform built on the lakehouse architecture. | Secure and fast data access platform for development teams, protecting sensitive data and IP. |
| Category | Data Analytics, Machine Learning, Cloud Computing, Data Platform | Machine Learning, Enterprise, Privacy, Training |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | 2013 | 2021 |
| Headquarters | San Francisco, United States | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Databricks | PVML |
|---|---|---|
| Employees | 15,082 | 18 |
| Headcount growthLast 12 months | +27.1% | +98.6% |
| Total funding | $37B | $8.0M |
| Latest round | Strategic Financing | Seed |
| Valuation | $190B | Not published |
| LinkedIn followers | 1,191,281 | 1,033 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Databricks | PVML |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 82/100 | 54/100 |
| Traction | 60/100 | 47/100 |
| Team | 70/100 | 60/100 |
| Community | 25/100 | Not published |
| Search visibility | 69/100 | 29/100 |
| Quality | 96/100 | 58/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (49/100) | F (21/100) |
| Domain ratingLink authority, 0-100 | 88/100 | 24/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Databricks | PVML |
|---|---|---|
| Hosting | Vercel | AWS |
| CDN | Cloudflare | Not detected |
| CMS | Not detected | WordPress |
| Frameworks | Not detected | Jquery, Tailwind CSS, Bootstrap |
| Analytics | Not detected | Google Tag Manager, Hotjar |
| Support stack | Not detected | HubSpot |
| Open source | Yes | No |
| Self-hostable | Yes | No |
What users say
| Measure | Databricks | PVML |
|---|---|---|
| Community ratingVisitor votes on StartupHub | 3.5/5 from 2 votes | Not published |
Databricks vs PVML: common questions
Which is better, Databricks or PVML?
On our 0-100 score Databricks rates higher (82/100 against 54/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 22 data points above: read the rows that match what you are buying for.
How do Databricks and PVML compare on the numbers?
Databricks leads on our overall score (82/100 against 54/100), agent readiness (49/100 against 21/100), domain rating (88/100 against 24/100), headcount (15,082 against 18), funding raised ($37B against $8.0M), LinkedIn following (1,191,281 against 1,033). PVML leads on headcount growth (+98.6% against +27.1%).
Read the full Databricks review and pricing or the PVML review and pricing. You can also browse other Databricks alternatives we track.