Digma vs Monte Carlo
Digma vs Monte Carlo, compared side by side on 21 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: Digma is on 53/100 and Monte Carlo on 70/100.
Where each one leads
Digma
- headcount growth: +52.6% against +31.0%
Monte Carlo
- our overall score: 70/100 against 53/100
- agent readiness: 47/100 against 36/100
- domain rating: 72/100 against 42/100
- headcount: 549 against 12
- funding raised: $236M against $6.0M
- LinkedIn following: 40,281 against 1,772
At a glance
| Measure | Digma | Monte Carlo |
|---|---|---|
| What it is | Continuous feedback platform for developers to own code from development to production. | Data observability platform for data reliability and quality. |
| Category | Enterprise, DevTools, Observability, Data | Enterprise, Data, Development, Artificial Intelligence |
| Sells toBusiness model | B2B | B2B |
| Offering | Software | Software |
| Founded | 2022 | 2019 |
| Headquarters | Tel Aviv, Israel | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Digma | Monte Carlo |
|---|---|---|
| Employees | 12 | 549 |
| Headcount growthLast 12 months | +52.6% | +31.0% |
| Total funding | $6.0M | $236M |
| Latest round | Seed | Series D |
| Valuation | Not published | $1.6B |
| LinkedIn followers | 1,772 | 40,281 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Digma | Monte Carlo |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 53/100 | 70/100 |
| Traction | 45/100 | 60/100 |
| Team | 70/100 | 70/100 |
| Search visibility | 33/100 | 55/100 |
| Quality | 58/100 | 78/100 |
| Agent readinessHow well an AI agent can read and act on the site | F (36/100) | D (47/100) |
| Domain ratingLink authority, 0-100 | 42/100 | 72/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Digma | Monte Carlo |
|---|---|---|
| CDN | Cloudflare | Cloudflare |
| CMS | Not detected | WordPress |
| Frameworks | Not detected | Jquery, Alpinejs, Tailwind CSS, Bootstrap |
| Analytics | Not detected | Google Tag Manager |
| Support stack | Not detected | HubSpot |
| Open source | Yes | No |
Digma vs Monte Carlo: common questions
Which is better, Digma or Monte Carlo?
On our 0-100 score Monte Carlo rates higher (70/100 against 53/100). 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 21 data points above: read the rows that match what you are buying for.
How do Digma and Monte Carlo compare on the numbers?
Digma leads on headcount growth (+52.6% against +31.0%). Monte Carlo leads on our overall score (70/100 against 53/100), agent readiness (47/100 against 36/100), domain rating (72/100 against 42/100), headcount (549 against 12), funding raised ($236M against $6.0M), LinkedIn following (40,281 against 1,772).
Read the full Digma review and pricing or the Monte Carlo review and pricing. You can also browse other Digma alternatives we track.