The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

With Wall Street's year-end tape thinning and traders increasingly watching for momentum heading into 2026, Datadog (NASDAQ: DDOG) has shown a blend of strong fundamental growth and short-term ...

POLAND - 2023/11/08: In this photo illustration, a DataDog logo is displayed on a smartphone. (Photo Illustration by Omar Marques/SOPA Images/LightRocket via Getty Images) Single stock picks can be ...

Bill McColl has 25+ years of experience as a senior producer and writer for TV, radio, and digital media leading teams of anchors, reporters, and editors in creating news broadcasts, covering some of ...

Datadog (DDOG) reported Q3 revenue of $886M, beating estimates by $34M, with 28% year-over-year growth and EPS of $0.55 versus $0.46 expected. Datadog generated $214M in free cash flow and expanded ...

Shares of Datadog (DDOG) rose about 7% premarket on Thursday after third quarter results beat estimates and the company raised its full year 2025 outlook. For the third quarter ended Sept. 30, ...

Datadog is positioned to benefit from accelerating AI-driven cloud workloads, leveraging rapid product innovation in observability and security. AI revenue for DDOG grew 253% YoY, now representing 11% ...

Wall Street Analysts gave Amazon, NVIDIA, Datadog, Palantir and Apple another round of approvals and moved the stock prices for each higher. The broad market is moving higher, with the S&P 500 up .25% ...

A long-standing joke has been resolved by the cloud monitoring and security software Datadog by the introduction of the Updog. The business released a web dashboard that allows developers to see the ...

Datadog stock (NASDAQ: DDOG) declined by 7.9% over the past five trading days. This drop was primarily triggered by news on October 10 that several company insiders, including CEO Olivier Pomel and ...

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Abstract: Since the introduction of deep learning-based binary code similarity detection methods, there has been a proliferation of methods using graph neural networks to learn semantic information ...