MongoDB vs Elastic: which job is safer?
Layoff risk for Engineering roles in India, scored this morning from confirmed layoffs, WARN filings, earnings, hiring and news signals.
MongoDB vs Elastic, signal by signal
| Signal | MongoDB | Elastic |
|---|---|---|
| Layoff risk score | 26 / 100 | 35 / 100 |
| Risk band | MODERATE | MODERATE |
| 7-day move | 0 | -1 |
| 30-day move | -4 | -9 |
| Confirmed layoffs (1 yr) | 0 | 1 |
| Disclosed roles cut (1 yr) | 0 | 0 |
| WARN notices (7 d) | 0 | 0 |
| Layoff headlines (7 d) | 0 | 0 |
| Employee sentiment | stable | stable |
| Employee-reported layoffs (30 d) | 0 | 0 |
Green marks the safer side of each row. Lower is better on every risk signal except open roles and revenue growth, where more is the healthier reading.
90-day risk trend, side by side
Should you switch from MongoDB to Elastic?
MongoDB scores 26/100 (moderate risk) against Elastic's 35/100 (moderate) for Engineering roles in India — a 9-point gap. What sits behind the gap: Elastic has confirmed 1 announcement with no headcount disclosed in the past year against none at MongoDB. Cutting the other way, Elastic's risk fell 9 points over the last 30 days while MongoDB's fell 4 points.
Direction matters as much as level. Over the last 30 days MongoDB's risk score fell 4 points and Elastic's fell 9 points. That is narrowing the gap, so the current verdict is the weaker of the two readings — check it again before you sign anything.
On confirmed events, MongoDB has no confirmed layoff in the past year. Elastic has 1 confirmed layoff on Jun 24. Confirmed cuts are the heaviest input to the score and they decay on a half-life rather than expiring, so a large recent round keeps weighing on a company for months while an old one fades gradually.
In the last seven days: Elastic shed 1 point: its Jun 24 cut of 7% of staff decaying out of the window, 64 days on; and last quarter beat estimates by 8.4%.
Employee sentiment, blended from anonymous reports and the data signals, reads stable at MongoDB and stable at Elastic. Sentiment moves earlier than confirmed events but is far noisier, so treat it as a leading indicator rather than a score.
One caveat worth stating plainly: this compares employer-level risk, not your risk. Any engineering role on a revenue-critical team at the riskier company can be safer than a cost-centre role at the safer one. Read the score as the weather, not the forecast for your specific seat.