Fannie Mae, Freddie Mac shares tumble after conservatorship comments
NEW YORK - Datadog, Inc. (NASDAQ:DDOG), a $41.34 billion cloud monitoring company with impressive 80% gross profit margins and 25.54% revenue growth over the last twelve months, announced new log management capabilities designed to help organizations optimize costs while meeting data retention, security and residency requirements, according to a press release statement issued Tuesday.According to InvestingPro analysis, Datadog maintains strong financial health with multiple positive indicators, including robust cash positions and growing profitability expectations.
The cloud monitoring company introduced three new features at its DASH conference: Archive Search, Flex Frozen and CloudPrem.
Archive Search allows users to query logs from customer-owned cold storage without re-indexing, maintaining a consistent user experience regardless of log age. Flex Frozen extends log retention to over seven years within Datadog’s platform, eliminating the need for external archives. CloudPrem enables enterprises to deploy Datadog’s indexing and search capabilities within their own infrastructure to address data residency requirements.
"As compliance standards grow more complex and global data regulations tighten, organizations face mounting pressure to retain log data longer, search it faster and keep it where it belongs," said Michael Whetten, VP of Product at Datadog.
The new capabilities build upon Flex Logs, which Datadog launched at its 2023 DASH conference. Flex Logs separates storage costs from querying costs and has become one of the company’s fastest-growing products.
The expanded log management suite aims to address challenges faced by organizations in regulated industries such as financial services, healthcare and insurance, which must comply with strict data retention regulations while maintaining control over sensitive operational data.
Organizations operating under regional data residency laws or internal security policies often need to store data within controlled environments, whether on-premises or in specific cloud regions. The new features are designed to help these companies maintain compliance while implementing scalable and efficient log management strategies.
In other recent news, Datadog, Inc. announced key amendments to its Amended and Restated Certificate of Incorporation, approved by shareholders during the company’s Annual Meeting. These changes, now effective, aim to refine Datadog’s corporate governance by limiting certain officers’ monetary liability for fiduciary breaches, in line with Delaware law. In addition, Datadog introduced Toto, an open-source AI model for observability, and BOOM, a benchmark for observability metrics, demonstrating significant advancements in AI research. Meanwhile, the company is progressing toward FedRAMP High authorization, enhancing its ability to meet stringent federal security requirements. This move aligns Datadog with government modernization efforts, having previously achieved Moderate-Impact authorization. On the analyst front, Cantor Fitzgerald maintained an Overweight rating for Datadog with a $134 price target, citing robust growth prospects and market leadership in cloud observability. Similarly, DA Davidson reaffirmed a Buy rating with a $125 target, highlighting Datadog’s growth and product investment, especially among AI native customers. These developments reflect Datadog’s strategic initiatives and continued focus on innovation and market expansion.
This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.