Datadog, Inc. provides an AI-powered observability and security software-as-a-service platform for cloud applications. Company updates commonly address financial results, customer adoption of higher annual recurring revenue tiers, and platform capabilities spanning infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security, data observability and AI operations.
Recurring developments include product launches such as Datadog Experiments, GPU Monitoring and Bits AI Security Analyst, security and compliance milestones such as FedRAMP High certification for Datadog for Government, and integrations that connect Datadog telemetry with partner recovery or resilience workflows. Coverage also reflects research reports on AI operations and the company’s positioning around real-time visibility across applications, infrastructure, data, models and security.
Datadog (NASDAQ: DDOG) announced its integration with Salesforce, enhancing security for organizations utilizing Salesforce as a primary data repository. This integration allows monitoring of user and API activity, enabling faster identification of potential data breaches. Key features include real-time user monitoring, platform API visibility, pre-built threat detection rules, and a dedicated dashboard for threat monitoring. This collaboration aims to improve data security for joint customers, aiding in rapid issue resolution and efficient monitoring.
Ozcode has announced a new integration with Datadog, enhancing the debugging experience for developers working with live systems. This partnership allows developers to add dynamic instrumentation, enabling the capture of logs, metrics, and traces without code changes. Ozcode's solution accelerates troubleshooting and eliminates the need to replicate issues in non-production environments. Datadog users can now access Ozcode's Live Debugger, improving their ability to monitor and resolve production errors effectively.
Datadog (NASDAQ: DDOG) has announced the general availability of its AWS Lambda extension, enhancing its cloud application monitoring and security platform. This extension allows engineering teams to efficiently send data (metrics, traces, logs) to Datadog while minimizing overhead for serverless applications. As AWS Lambda functions are increasingly invoked, the new capabilities lead to cost and time savings for customers, improving operational speed and service visibility across all AWS Lambda runtimes.
Datadog (NASDAQ: DDOG) announced its support for application monitoring with AWS App Runner, becoming a Launch Partner for this new fully managed service. This integration enables engineering teams to monitor their applications without managing infrastructure. Key monitoring capabilities include identifying errors, ensuring resource adequacy, scaling efficiently, and maintaining security oversight. Datadog aims to streamline the deployment and scaling of applications, providing customers with improved performance tracking and issue resolution capabilities.
Datadog (NASDAQ: DDOG), a leader in monitoring and security for cloud applications, will present at three upcoming investor conferences. The events are:
- J.P. Morgan Global Technology Conference: May 24, 2021, at 9:30 a.m. ET
- William Blair Growth Stock Conference: June 3, 2021, at 1:00 p.m. ET
- Berenberg Cyber/DevOps Conference: June 14, 2021, at 11:00 a.m. ET
Presentations will be webcast live, with replays available on the company’s investor relations site.
Datadog's Q1 2021 revenue reached $198.5 million, up 51% YoY. The company's customer base grew significantly, boasting 1,437 customers with $100k+ ARR, a 50% increase. Datadog completed the acquisitions of Sqreen and Timber, enhancing its security offerings. Recognized as a Leader in Gartner's Magic Quadrant for APM, Datadog is positioned well amidst a digital transformation trend as businesses seek agile solutions. For Q2 2021, revenue is projected between $211 million and $213 million, with a full-year forecast of $880 million to $890 million.
Datadog, Inc. (NASDAQ: DDOG) will release its first quarter fiscal year 2021 financial results on May 6, 2021, after market close. A conference call is scheduled for the same day at 5:00 p.m. ET to discuss the results and financial guidance. Investors can join via phone or listen to a live webcast on Datadog's Investor Relations page. The company continues to enhance its monitoring and security platform for cloud applications, catering to various organizations to support digital transformation and cloud migration.
Datadog, Inc. (NASDAQ: DDOG) has been recognized as a Leader in the 2021 Gartner Magic Quadrant for Application Performance Monitoring, announced on April 14, 2021. This acknowledgment reflects Datadog's ongoing product innovation and growth in its customer base. The platform provides integrated monitoring and security solutions for cloud applications, promoting enhanced observability. Datadog's high recommendation rating of 91% from 132 customer responses reinforces its effectiveness in application performance monitoring, underscoring its commitment to addressing customer needs in the evolving cloud landscape.
Datadog (NASDAQ: DDOG) has successfully closed its acquisition of Sqreen, a SaaS-based security platform aimed at enhancing application-level security for enterprises. This acquisition aims to strengthen Datadog's application performance monitoring (APM) capabilities and provide a comprehensive security monitoring solution. According to CEO Olivier Pomel, the integration of Sqreen will enhance application security while reducing visibility issues, costs, and learning curves associated with traditional security products. This move aligns with modern DevSecOps practices emphasizing continuous security integration.
Datadog (NASDAQ: DDOG) announced the expansion of its Network Performance Monitoring (NPM) to Windows, enabling users to monitor network performance seamlessly across Windows Server and Linux. This feature aids organizations in identifying application dependencies and detecting inefficiencies affecting performance and costs. As per Datadog, the NPM enhancement facilitates complete network visibility, allowing users to spot bottlenecks and analyze connection data effectively. This development aims to empower Windows Server customers to troubleshoot issues efficiently, aligning with digital transformation goals.