Datadog's cloud observability platform helps businesses track the health of their digital infrastructure around the clock.
Datadog launched a series of new products last year to help businesses track the cost and performance of their artificial intelligence models.
Datadog is scheduled to report its latest quarterly operating results on Aug. 7, which will include an update on its AI business.
Most modern businesses rely on their online presence to attract customers and generate revenue. Small enterprises often have websites, while large organizations like banks might have complex digital portals for their customers. Money walks out the door when this infrastructure doesn't function properly, because in the digital world, the competition is always one click away.
Datadog's (NASDAQ: DDOG) cloud observability platform can monitor a business' digital infrastructure around the clock, instantly notifying management when a technical issue pops up so it can be fixed before it impacts the customer experience. This technology has been so successful that Datadog is now applying it to artificial intelligence (AI) models, where it's helping developers track technical bugs and even costs.
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Datadog is scheduled to release its operating results for the second quarter of 2025 (ended June 30) on Aug. 7, which will give investors a valuable update on the company's core business and its growing portfolio of AI products. Should investors buy the stock ahead of the report?
Image source: Getty Images.
Datadog had around 30,500 customers at the end of the first quarter of 2025 (which ended on March 31). Datadog operates in a variety of industries including retail, financial services, manufacturing, and entertainment. The company knows how quickly AI is spreading across the corporate landscape, so it wants to help businesses manage this technology with confidence, the same way it helps them manage their cloud infrastructure.
Datadog launched a monitoring tool designed specifically for large language models (LLMs) last year, called LLM Observability. These models sit at the foundation of every AI software application, and LLM Observability helps developers uncover technical bugs, track costs, and even evaluate the accuracy of their outputs. Simply put, organizations building custom LLMs will need a tool like this if they want to deploy their AI software responsibly.
Datadog also created another observability product last year called OpenAI Monitoring, which is specifically for businesses using LLMs from leading third-party developer OpenAI. Building an LLM from scratch requires significant financial and technical resources, so using ready-made models from third parties is an increasingly popular practice. OpenAI Monitoring helps businesses track usage, costs, and error rates so they can deploy the GPT family of models with full visibility.
At the end of the first quarter, 4,000 customers were using one of Datadog's AI products, which doubled compared to the year-ago period. Investors should expect an updated figure on Aug. 7, and it will be one of the clearest signs of the company's momentum.
Datadog delivered $762 million in total revenue during the first quarter, which easily cleared the company's forecast range of $737 million to $741 million. AI-native customers represented 8.5% of that total revenue, which more than doubled from 3.5% in the year-ago period.
That is the key number investors should watch when Datadog reports its second-quarter results on Aug. 7. It could be the moment AI crosses 10% of total revenue, so it's quickly shifting from a nominal contributor to a serious potential growth driver for the entire company.
Datadog's strong first-quarter results prompted management to increase its full-year guidance for 2025 from $3.185 billion (at the midpoint of the range) to $3.225 billion. If the momentum in the company's AI revenue carried into the second quarter, investors can probably expect to see another upward revision to the 2025 forecast on Aug. 7.
Datadog stock is still trading below its record high from 2021, when the pandemic-fueled tech frenzy catapulted it to unsustainable heights. But it's on the road to recovery with a 27% gain over the past year, and based on the company's rapidly growing AI business, its future looks very bright.
However, the stock isn't cheap right now, so whether or not investors should buy it ahead of Aug. 7 might depend on their time horizon. It's trading at a price-to-sales (P/S) ratio of 19, so it's notably more expensive than a basket of other prominent cloud and AI software stocks:
DDOG PS Ratio data by YCharts
As a result, investors who are looking for gains over the next few months should probably steer clear of Datadog stock. However, those who are willing to hold it for the next five years or more could still do very well despite its elevated valuation, because holding the stock will give the company's budding AI business sufficient time to blossom. In fact, when we look back on this moment, Datadog's current stock price might even look like a total bargain.
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Anthony Di Pizio has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Datadog, Microsoft, and ServiceNow. The Motley Fool recommends C3.ai and Confluent and recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.