Databricks vs Superquery
Databricks vs Superquery, compared side by side on 19 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 Superquery on 51/100.
Where each one leads
Databricks
- our overall score: 82/100 against 51/100
- agent readiness: 49/100 against 22/100
- domain rating: 88/100 against 12/100
- headcount: 15,082 against 7
- funding raised: $37B against $3.0M
Superquery
Leads on none of the measures we hold for both companies.
At a glance
| Measure | Databricks | Superquery |
|---|---|---|
| What it is | A unified data analytics and AI platform built on the lakehouse architecture. | Serverless BigData optimization engine for cloud data warehouses, reducing costs with AI. |
| Category | Data Analytics, Machine Learning, Cloud Computing, Data Platform | Enterprise, Development, Serverless, Data Warehousing |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | 2013 | 2016 |
| Headquarters | San Francisco, United States | Tel Aviv, Israel |
| Status | Active | Inactive |
Size, funding and growth
| Measure | Databricks | Superquery |
|---|---|---|
| Employees | 15,082 | 7 |
| Headcount growthLast 12 months | +27.1% | Not published |
| Total funding | $37B | $3.0M |
| Latest round | Strategic Financing | Seed |
| Valuation | $190B | Not published |
| LinkedIn followers | 1,191,281 | Not published |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Databricks | Superquery |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 82/100 | 51/100 |
| Traction | 60/100 | 41/100 |
| Team | 70/100 | 70/100 |
| Community | 25/100 | Not published |
| Search visibility | 69/100 | 15/100 |
| Quality | 96/100 | 58/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (49/100) | F (22/100) |
| Domain ratingLink authority, 0-100 | 88/100 | 12/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Databricks | Superquery |
|---|---|---|
| Hosting | Vercel | Not detected |
| CDN | Cloudflare | Not detected |
| Open source | Yes | No |
| Self-hostable | Yes | No |
What users say
| Measure | Databricks | Superquery |
|---|---|---|
| Community ratingVisitor votes on StartupHub | 3.5/5 from 2 votes | Not published |
Databricks vs Superquery: common questions
Which is better, Databricks or Superquery?
On our 0-100 score Databricks rates higher (82/100 against 51/100). 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 19 data points above: read the rows that match what you are buying for.
How do Databricks and Superquery compare on the numbers?
Databricks leads on our overall score (82/100 against 51/100), agent readiness (49/100 against 22/100), domain rating (88/100 against 12/100), headcount (15,082 against 7), funding raised ($37B against $3.0M).
Read the full Databricks review and pricing or the Superquery review and pricing. You can also browse other Databricks alternatives we track.