Datadog beat estimates and raised its full-year forecast, yet traders punished the stock anyway. The reason buried in management's Q4 guidance reveals something unsettling about where AI spending may be heading.
A cautious revenue outlook is dominating a strong quarter at Datadog (NASDAQ:DDOG | DDOG Price Prediction), the cloud monitoring software company. Datadog stock is at $196.03 in early trading, down 11%. The shares closed the prior session at $220.52.
Before the open on November 4, Datadog reported results that beat estimates and raised its full-year forecast. The company’s revenue guidance for Q4 2026, however, points to little growth from the quarter it just finished. Even after the drop, Datadog stock is up 44% year to date (YTD), which shows how much optimism was priced in before the report.
Inside Datadog’s Q3 Beat and the Guidance That Spooked Traders
Datadog posted Q3 2026 revenue of $1.2 billion, up 35% year over year (YoY), ahead of the $1.15 billion consensus. Adjusted earnings per share (EPS) at Datadog reached $0.81, beating the $0.64 analysts expected. Customers paying Datadog $100,000 or more in annual recurring revenue numbered about 4,860, up 20% from about 4,060 a year earlier.
In Datadog’s release, co-founder and CEO Olivier Pomel said, “We are seeing strong adoption across our platform as customers scale their digital operations and use of AI.” On the earnings call, management added that Datadog now serves more than 850 AI customers, up from about 750 in the prior quarter. Management also said all 15 of the top 15 AI leaders are Datadog customers.
For Q4, Datadog expects revenue of $1.19 billion to $1.2 billion, in line with the $1.2 billion analysts expected. That range implies 25% to 26% YoY growth, a clear step down from Q3. Full-year 2026 guidance at Datadog moved higher, to revenue of $4.515 billion to $4.525 billion and adjusted EPS of $2.73 to $2.75.
A beat-and-raise can still sell off when the next quarter’s revenue guide looks flat, because growth stocks are priced on where sales are heading. Part of the caution is deliberate: Datadog’s Q4 outlook assumes its largest customer spends only at its minimum commitment, even though that customer spent well above that level in Q3. Several large AI customers also renewed early with bigger commitments at better pricing, which management stated creates a short-term revenue drag.
MongoDB and Snowflake Slip as Datadog Takes the Brunt
Cloud software names are slipping far less than Datadog. MongoDB (NASDAQ:MDB) stock is at $325.70, down 3%. Meanwhile, Snowflake (NYSE:SNOW) stock is at $291.51, down 1%.
Those smaller declines suggest the selling is concentrated in Datadog, with only modest spread across cloud software. Dynatrace (NYSE:DT), Datadog’s closest observability rival, is also worth watching. Elastic (NYSE:ESTC) is another peer in focus.
Private employers added 86,000 jobs in October, per ADP, above the 67,000 economists expected, according to Yahoo Finance. That solid labor reading, which lands ahead of the government’s monthly jobs report, gives the broader market a steady background and keeps the focus on Datadog’s own outlook.
How Datadog’s Business Differs From MongoDB and Snowflake
Datadog sells observability software, meaning tools that monitor customers’ infrastructure, applications, logs and security from one platform. Much of the company’s revenue tracks usage, so it moves with how heavily customers run cloud and AI workloads.
MongoDB sits lower in the stack, selling a database where applications store and query operational and AI data. Snowflake runs a cloud data platform built for analytics and AI, with customers paying for the storage and computing they consume. All three depend on cloud consumption, though Datadog’s role is monitoring the workloads the others help power.
Dynatrace competes most directly with Datadog for observability budgets. Elastic overlaps through its search, observability and security platform, which gives Datadog a second rival with deeper roots in search.
Datadog’s Guidance Reset Puts the AI Spending Debate Front and Center
The next test for Datadog is whether its largest customer keeps spending above its minimum commitment and whether early renewals turn into faster usage growth. Optimists may see an exaggerated valuation correction after a big run, pointing to Datadog’s non-AI revenue growth, which accelerated to the high 20% range, and remaining performance obligations of $3.85 billion, up 38%.
The bears might read the outlook as a warning about slowing cloud and AI usage spending, and management noted that customers are coping with rapidly rising AI token costs (we featured seven companies powering the AI expansion beyond the chipmakers in a free report you can grab here).
Datadog’s free cash flow margin slipped to 21% from 24%, while stock-based compensation reached $237.2 million in Q3. For investors, staying cautious could make sense while the debate over Datadog’s Q4 outlook plays out.
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