Innodata Inc vs Mongodb Inc — how do they compare? Innodata Inc trades at $62.96 (market cap $2.03B), while Mongodb Inc trades at $438.86 (market cap $33.51B). The key difference: Mongodb Inc is far larger — about 16.5× Innodata Inc's market cap, and Mongodb Inc is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| INOD | MDB | |
|---|---|---|
Market Cap | $2.03B | $33.51B |
Sector | Technology | Technology |
52-Week High | $121.50 | $440.25 |
52-Week Low | $34.45 | $204.37 |
Enterprise Value | $1.79B | $31.12B |
Signals from Pluang's Aura AI — not financial advice
INOD trades at $62.33, down 4.81% over 24 hours, with a bearish technical signal from moving averages despite neutral oscillators. The company reported strong Q2 2026 earnings, beating estimates with EPS of $0.41 versus $0.21 expected, driven by 58% revenue growth and AI demand expansion. Valuation ratios remain elevated, with a P/E of 48.24 and P/S of 6.79, reflecting high growth expectations. Recent news highlights AI-driven growth and leadership transition plans.
Outlook is positive due to robust AI momentum and earnings beats, but risks include premium valuation and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside from current levels. Investors should weigh growth potential against execution risks in a competitive AI services market.
MongoDB (MDB) trades at $398.8, up 7.78% in the last session, reflecting strong momentum near the consensus price target of $400.39. The stock shows bullish technical signals with support at $384 and resistance at $407. Revenue growth is robust, reaching $2.01B in 2025, though the company remains unprofitable with a net margin of -1.12%. Recent quarters have consistently beaten EPS estimates, and analyst sentiment is overwhelmingly positive with 82% buy ratings.
The outlook for MDB is optimistic due to accelerating revenue growth and AI-driven demand, but risks include persistent losses, high valuation multiples, and competitive pressures. Institutional buying and bullish technical trends support near-term upside, yet profitability challenges warrant caution for long-term investors.
Trailing returns across standard periods
Innodata is a global data engineering company that provides solutions for training AI models. It helps enterprises solve complex data challenges through high-quality data annotation and digital transformation.
Read more on INOD →Founded in 2007, MongoDB is a document-oriented database with nearly 33,000 paying customers and well past 1.5 million free users. MongoDB provides both licenses as well as subscriptions as a service for its NoSQL database. MongoDB's database is compatible with all major programming languages and is capable of being deployed for a variety of use cases.
Read more on MDB →