Datadog Inc. (NASDAQ:DDOG) provides a cloud-based security information and events management (SIEM) observability platform, enabling developers, engineers, and IT departments to monitor the performance of their data and operations infrastructure. Its AI-powered platform provides a comprehensive view of a client's entire IT environment, simplifying troubleshooting and threat response on a single unified system.

Datadog operates in the computer and technology sector, competing with SIEM providers like Splunk Inc., Dynatrace Inc. (NYSE:DT), and Gitlab Inc. (NASDAQ:GTLB).

Datadog's Competitive Advantage

SEIM platforms offer many security benefits, but Datadog's competitive advantage lies in the scalability and flexibility to integrate with various ecosystems consisting of different cloud providers, including Amazon.com Inc. AWS, Google Cloud, Microsoft Co. Azure and Oracle Co. Oracle Cloud, applications and technologies. It provides a single source of truth, enabling easy monitoring of diverse and complex environments.

It collects, unifies, and monitors all data from all sources, including applications, servers, databases, and networks, and finds correlations, enabling real-time alerts and insights. Users can automate functions, security incident analysis and responses. AI is leveraged for proactive threat, anomaly detection, and predictive analytics with actionable real-time insights.

Bits AI Is the Generative AI Co-Pilot for DevOps

Its generative AI interface, "Bits AI" enables conversational queries, acting as a DevOps co-pilot. Bits can promptly assist in efficiently investigating and responding to incidents without switching contexts across the Datadog mobile app, web app, and Slack. Bits helps surface insights about the environment in a conversational format by correlating data across the Datadog platform, including metrics, events, log and trace anomalies, user transactions, and security signals. Bits will diagnose issues and suggest automated code fixes to accelerate investigations, streamline incident responses, and prevent recurrence.

Datadog's Robust Double-Digit Growth Makes It the Best-of-Breed

Datadog reported Q2 2024 EPS of 43 cents, beating consensus estimates by 6 cents. Its revenue surged 26.7% YoY to $645.28 million, firmly beating consensus estimates of $624.92 million. Non-GAAP operating margin was 24%. It grew its $100,000+ contract customers by 13% to 3,390, up from 2,990 a year ago. Datadog closed the quarter with $3 billion in cash and cash equivalents.

For its third quarter of 2024, Datadog expects EPS between 38 cents and 40 cents versus consensus estimates of 38 cents. Revenues are expected to be between $660 million and $664 million, versus the consensus estimates of $664.58 million.

For full-year 2024, Datadog sees EPS of $1.62 to $1.66 versus $1.61 consensus estimates. Full-year revenues are expected to be between $2.62 billion and $2.63 billion versus the consensus estimates of $2.61 billion.

Observations of the Quarter

DDOG Stock Triggers an Ascending Triangle Breakout

An ascending triangle is comprised of a flat-top upper trendline resistance conversing with an ascending lower trendline at the apex point. The breakout triggers when the stock surges through the upper trendline resistance.

Datadog's average consensus price target is $140.85, and its highest analyst price target sits at $160.00. It has 26 Buy ratings and 4 Hold ratings. The stock trades at an expensive 292x forward earnings.

Actionable Options Strategies: While the forward PE looks expensive, DDOG has been preparing for a two-month breakout. Bullish investors can consider using cash-secured puts to buy DDOG at the fib pullback support levels but should also maintain stop-losses under the $98.80 swing low. Be aware of the highly volatile nature of its earnings report, which is expected in mid-November 2024.

The article "Datadog's AI and Growth Strategy: Why Analysts Are Bullish" first appeared on MarketBeat.