MDB vs MSFT: How MongoDB and Microsoft Compare (2026)
Last updated July 2026
Short answer
MSFT is the larger of the two ($2.93T market cap): the incumbent the market prices for continued execution (20.37x forward earnings, beta 1.13). MDB is the smaller challenger ($25.75B), actually pricier on forward earnings (43.63x): more room to run, but more to prove. The real question is which set of drivers you believe, and whether owning one (or both) leaves you over-concentrated.
MDB vs MSFT: the tie-breaker metrics
Same yardstick, side by side (as of July 2026). Valuation lined up like this is most meaningful for two names in the same corner of the market, which these are. Figures are approximate; verify before investing.
| Metric | MDB | MSFT | What it tells you |
|---|---|---|---|
| Market cap | $25.75B | $2.93T | Size. The larger name is the incumbent; the smaller has more room to grow and more to prove. |
| Forward P/E | 43.63 | 20.37 | Valuation on next year's expected earnings, the same yardstick for both. Lower is cheaper for that growth; higher means the market is paying up. |
| Beta | 1.55 | 1.13 | Volatility vs the market. Above 1 swings harder than the index; below 1 is steadier. Higher beta means bigger drawdowns to hold through. |
| Price vs 52-week range | 49% of range | 22% of range | Where today's price sits between the 52-week low and high. Near the high is momentum with less margin of safety; near the low is out of favor or a discount, depending on why. |
| Price / book | 8.78 | 7.08 | How much you pay over book value. Very high can signal an asset-light, high-return business or a rich price. |
Reading it: MSFT is the cheaper of the two on forward earnings, but cheaper is not the same as better. Pair the valuation with growth (how far the forward P/E sits below the trailing P/E) and risk (beta) before you decide.
Before you buy: how MDB and MSFT affect your concentration
The metrics above tell you which is the marginally better business. The bigger risk for most people is not picking the slightly worse stock, it is over-concentrating. MDB and MSFT share themes, so owning both, or adding either to what you already hold, can quietly push a large share of your portfolio into one bet.
This is the part a generic comparison page cannot answer, because it depends on what you own. Connect your brokerage and Walnut shows your real, combined MDB and MSFT exposure, flags overlap with your existing positions, and tells you if adding one would tip you past a concentration you are comfortable with, read-only by default, with your login staying at your broker. Walnut is not an investment adviser.
What does MongoDB (MDB) do?
MongoDB is a database software company built around a document-oriented database that stores data in flexible, JSON-like documents rather than the rigid rows and columns of traditional relational databases. This model maps naturally to how modern developers build applications, making MongoDB popular for fast-moving software teams. The company's primary growth engine is MongoDB Atlas, a fully managed cloud database service that runs across AWS, Microsoft Azure, and Google Cloud and is billed on consumption. Atlas now generates the majority of revenue and grows faster than the legacy self-managed Enterprise Advanced product. MongoDB has expanded its platform with search, vector search for AI applications, time-series data, and analytics, positioning the database as a foundation for AI-era and operational workloads. The go-to-market strategy is developer-led: teams adopt MongoDB bottom-up, and consumption scales as their applications grow. Founded in 2007 and headquartered in New York, MongoDB is a high-growth, not-yet-consistently-profitable software company tied to cloud and application development trends.
What does Microsoft (MSFT) do?
Microsoft (MSFT) is one of the largest and most diversified technology companies in the world, operating across three reporting segments. Productivity and Business Processes includes Microsoft 365 (Office, Teams, Dynamics 365) and LinkedIn. Intelligent Cloud covers Azure, GitHub, server products, and enterprise services. More Personal Computing spans Windows, gaming (Xbox plus the acquired Activision Blizzard), Surface devices, and search via Bing. Azure is the second-largest cloud computing platform in the world behind AWS, and Microsoft 365 is the dominant productivity suite for businesses globally. AI is woven across all of it through the Copilot product line and a deep partnership with OpenAI, in which Microsoft is both the primary cloud provider and a major investor. The company was founded in 1975 by Bill Gates and Paul Allen, is headquartered in Redmond, Washington, and is led by CEO Satya Nadella (since 2014). Microsoft is consistently the largest or one of the two largest publicly traded US companies by market cap, with enormous recurring cash flow and a multi-decade dividend-growth streak.
MDB vs MSFT: how do they differ?
Both fit overlapping themes, but they are not interchangeable. The useful comparison is which set of drivers and risks you want exposure to.
- MDB drivers: Atlas cloud consumption growth; Developer-led adoption and flexibility.
- MSFT drivers: AI as the platform; Closing the gap with AWS in cloud.
Which fits which kind of investor
A faster-growing, richer-valued name usually swings harder, so it suits a longer horizon and a higher tolerance for volatility; a steadier, more cash-generative business suits a more conservative or income-minded investor. The honest test is which set of risks you could hold through a drawdown: MongoDB competes against deeply entrenched relational databases (Oracle, Microsoft SQL Server, PostgreSQL) and against the cloud providers' own managed databases, including offerings that mimic MongoDB's API. For MSFT, the largest open question is the return on AI capex: Microsoft is spending more than $50 billion a year on AI and cloud infrastructure, and if enterprise adoption is slower than expected the payback stretches out.
MDB or MSFT: which should you pick?
Growth-minded investors who believe the theme has years to run tend to accept the richer multiple for more upside; value-minded investors lean toward the cheaper forward earnings and steadier profile. Pick MDB if you believe its drivers more; MSFT if you believe its. Many investors hold both, but since they share themes, that is a concentrated bet, not diversification. Decide deliberately and check overlap. For the full detail, see the MDB and MSFT guides.
MDB vs MSFT: the full fundamentals
MDB. MongoDB trades as a high-growth software stock, with a price-to-sales multiple well above mature software peers, reflecting Atlas consumption growth and AI optionality rather than near-term GAAP profits. The valuation is sensitive to the trajectory of Atlas growth and net expansion. Multiple compression has occurred when consumption growth decelerated or software valuations broadly reset.
MSFT. For comparison, the S&P 500 trades at roughly 22x earnings on average. Microsoft's premium reflects its combination of growth, durability, margins, and AI exposure through Azure and OpenAI. It is not the highest P/E in mega-cap tech; NVIDIA, for example, trades at roughly 50x. The premium is justified as long as Azure keeps growing double digits and the AI capex earns a return; multiple compression risk rises if cloud growth slows. All figures are approximate as of early 2026 and refresh quarterly; verify against Microsoft's investor relations page or your broker.
Headline figures (approximate, early 2026): MDB shows revenue (ttm) ~$2.2 billion, revenue growth ~20% year over year, atlas share of revenue ~70%, growing faster than the overall company, gross margin ~75% (software, cloud-hosting costs included); MSFT shows revenue (fy2025 ending june) ~$245 billion, growing ~15% year over year, operating margin ~45%, among the highest of any company at Microsoft's scale, net income ~$95 billion, eps (ttm) ~$12.80.
The bottom line: MDB vs MSFT
MDB and MSFT are related but distinct: same themes, different businesses and risks. Neither wins in the abstract; the right pick is whichever thesis you actually believe, sized so you are not over-concentrated in one theme. Walnut can show your combined MDB and MSFT exposure against your real portfolio. It is not an investment adviser.
Wondering how MDB or MSFT fits the portfolio you already own? Walnut is an AI investing app that connects your brokerage read-only and answers questions like that about your actual holdings: overlap, concentration, and how each position tracks the S&P 500. Compare the best AI portfolio analyzers or see the best AI investing apps in 2026.
Investing in MongoDB with AI
Connect the broker you already use and ask Walnut's AI how MDB fits what you actually hold: whether you own it already through a fund, what it would do to your concentration, and how it has tracked the S&P 500. Read-only by default, and you approve anything before it reaches your broker.
FAQ
What is the difference between MDB and MSFT?
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MongoDB is a database software company built around a document-oriented database that stores data in flexible, JSON-like documents rather than the rigid rows and columns of traditional relational databases. Microsoft (MSFT) is one of the largest and most diversified technology companies in the world, operating across three reporting segments. They show up together because they share investment themes, but they are different businesses, so the better fit depends on which thesis you are expressing.
Is MDB or MSFT the better stock?
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Neither is universally better. MSFT is the larger incumbent; MDB is the smaller challenger and looks pricier on forward earnings. Walnut is informational, not investment advice. Compare what each does, the tie-breaker metrics above, and the risks, then decide which fits your thesis and what you already own.
Which is cheaper, MDB or MSFT?
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On forward P/E (as of July 2026), MDB trades at 43.63x and MSFT at 20.37x, so MSFT is the cheaper of the two on next year's expected earnings. A lower multiple is not automatically the better buy: a richer valuation can be justified by faster growth, and a lower one can reflect real risk. Weigh the multiple against how fast each business is compounding.
Should you own both MDB and MSFT?
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Because they share themes, owning both concentrates you in that theme. That can be intentional (a focused bet) or accidental (less diversification than it looks). Walnut can show your combined exposure across both, and whether adding either over-concentrates you, before you buy.
What are the risks of MDB vs MSFT?
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MDB: MongoDB competes against deeply entrenched relational databases (Oracle, Microsoft SQL Server, PostgreSQL) and against the cloud providers' own managed databases, including offerings that mimic MongoDB's API. Because most Atlas revenue runs on AWS, Azure, and Google Cloud, MongoDB partly depends on and competes with its own distribution partners. The company has a history of GAAP losses and elevated stock-based compensation, and consumption-based revenue can decelerate quickly if customers optimize usage or macro spending tightens. The valuation has at times embedded high growth expectations, so any slowdown in Atlas consumption or net expansion can pressure the stock sharply. Open-source alternatives and AI-driven database tooling add long-term competitive uncertainty. MSFT: The largest open question is the return on AI capex: Microsoft is spending more than $50 billion a year on AI and cloud infrastructure, and if enterprise adoption is slower than expected the payback stretches out. Antitrust pressure is real, with the FTC and EU both active on Microsoft's stack over the years. The concentrated dependence on OpenAI as the AI partner of choice cuts both ways, since OpenAI is also, increasingly, a competitor. Cloud is competitive (AWS leads, Google Cloud and Oracle are investing heavily), and the valuation, while not the highest in mega-cap tech, embeds confidence in durable double-digit growth that could compress if Azure decelerates.
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Walnut is informational, not investment advice. This page is descriptive and not a recommendation to buy or sell MDB or MSFT; figures are approximate and dated (as of July 2026). Verify current data before investing.