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Datadog
4.8
based on 3 Reviews
About Datadog
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Websitedatadoghq.com
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Datadog Ratings
based on 3 reviews
Overall Rating
4.7/5
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Category Ratings
4.7
Company culture
4.7
Work satisfaction
4.3
Job security
4.3
Salary
4.3
Work-life balance
4.3
Skill development
4.3
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Datadog is rated 4.7 out of 5 stars on AmbitionBox, based on 3 company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Datadog Reviews
Compare Datadog with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.8/5 based on 3 reviews | 4.4/5 based on 9 reviews | 1.8/5 based on 4 reviews | 2.7/5 based on 26 reviews |
Highly Rated for | Company culture Work satisfaction Skill development | Work-life balance Company culture Work satisfaction | No highly rated category | No highly rated category |
Critically Rated for | No critically rated category | No critically rated category | Skill development Work-life balance Company culture | Job security Company culture Work satisfaction |
Primary Work Policy | - | - | - | Hybrid 82% employees reported |
Rating by Women Employees | - no rating available | 3.0 Average rated by 2 women | - no rating available | 2.5 Poor rated by 2 women |
Rating by Men Employees | - no rating available | 4.6 Excellent rated by 7 men | - no rating available | 2.7 Poor rated by 23 men |
Job security | 4.3 Good | 3.7 Good | 2.7 Poor | 2.0 Poor |
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Datadog Salaries
Datadog salaries have received with an average score of 4.3 out of 5 by 3 employees.
Customer Success Manager
(1 salaries)
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₹37.4 L/yr - ₹47.8 L/yr
Principal Engineer
(1 salaries)
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₹36 L/yr - ₹46 L/yr
Technical Account Manager
(1 salaries)
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₹37.2 L/yr - ₹47.5 L/yr
Senior Software Engineer
(1 salaries)
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₹47.5 L/yr - ₹52.5 L/yr
Technical Support Engineer
(1 salaries)
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₹18 L/yr - ₹23 L/yr
Account Executive 1
(1 salaries)
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₹76 L/yr - ₹84 L/yr
Consultant
(1 salaries)
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₹36 L/yr - ₹46 L/yr
Datadog Jobs
Popular Designations Datadog Hires for
Solution Architect
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Enterprise Customer Success Manager
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Enterprise Sales Engineer
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Current Openings
Datadog News
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A Founder’s Guide to Building and Scaling Marketing Channels: Lessons from Datadog’s CMO and First Marketing Hire
- Alex Rosenblatt, the Chief Marketing Officer at Datadog, shared insights on scaling marketing channels at SaaStr Annual.
- Datadog found that press relations and analyst activities may not contribute significantly to customer acquisition or revenue.
- Negotiating marketing pilot terms towards the end of a quarter can lead to more flexibility from vendors.
- The 10th marketing hire is crucial for scaling teams as it requires a restructuring of operations.
- The key lesson is to focus on mastering one marketing channel at a time to avoid mediocrity.
- Marketing channels should be treated like products, requiring iteration and feedback for optimization.
- Choosing one channel, setting clear goals, and instrumenting data are recommended steps for success.
- Following a hypothesis-driven approach and the Pilot-Repeat-Enlarge methodology can lead to scalable success.
- Datadog's success story with AWS Re:Invent exemplifies the effectiveness of a focused marketing approach.
- Knowing when to expand beyond the first channel involves recognizing specific indicators of success and readiness.
- Team scaling milestones include documenting processes, creating training programs, and planning for rapid growth.
Saastr | 16 Mar, 2025
Presentation: A Walk Along the Complexity-performance Curve
- The presentation discusses the concept of the performance complexity curve, originating from Aleksey Shipilev's performance work phase diagram, which illustrates how performance and complexity evolve during performance optimization phases.
- Different phases of performance tuning are explained, starting with addressing low-hanging fruit issues, such as non-functional bugs, poor programming practices, and algorithmic inefficiencies that can be detected and resolved through profiling tools.
- The talk delves into the tuning phase, where more sophisticated optimizations are explored, like optimizing the String#hashCode method in Java, leading to significant improvements in performance through manual unrolling and vectorization.
- The competitive advantage phase is highlighted, showcasing the implementation and integration of optimized solutions into JDK 21, demonstrating how efficient performance improvements can be achieved through collaborative efforts between organizations like Datadog, Oracle, and Intel.
- The importance of continuous profiling, objective setting, and utilizing tools like vectorization for performance enhancement is emphasized, along with insights on the evolution of hardware optimizations and the significance of adapting software to modern architectures.
- The presentation concludes by discussing key takeaways on performance optimization, the impact of outdated hardware optimizations, and the timelines involved in identifying, implementing, and deploying performance improvements in large-scale software projects.
Infoq | 13 Mar, 2025
Sawmills raises $10M to cut down observability data costs with AI
- Telemetry data management startup Sawmills.AI Ltd. raised $10 million in a seed funding round led by Team8, aiming to help enterprises reduce observability software costs.
- Sawmills launched its telemetry data explorer tool, which utilizes AI capabilities to automate data management and optimize data flow for observability tools.
- The platform addresses the issue of high observability costs, with many companies spending nearly $2 million annually on observability, leading to unexpected cost spikes.
- Sawmills' CEO highlighted that observability tools process unnecessary data, leading to excessive costs, and shared a case where a single mistake incurred $250,000 fees.
- The startup uses AI algorithms to analyze telemetry data, identify optimization opportunities, enhance data quality, and prevent cost spikes by implementing smart sampling policies.
- Sawmills' technology leverages OpenTelemetry Collector to process data intelligently, offering recommendations to create automated policies for cost efficiency.
- Industry analyst Andy Thurai emphasized the real issue of rising observability costs and praised Sawmills for making OpenTelemetry more accessible and cost-effective.
- Sawmills faces competition from various observability data pipeline startups and established companies like Datadog and New Relic, but aims to revolutionize telemetry data management.
- The startup has shown progress in aiding companies like Via.com Ltd. in optimizing costs and resource allocation for better observability.
- Team8 Managing Partner recognized Sawmills' potential in the telemetry data management sector, foreseeing its impact on enterprise observability and cost reduction.
Siliconangle | 19 Feb, 2025
Sawmills emerges from stealth to trim enterprise observability costs and provide telemetry data sovereignty
- Observability platform vendors like Splunk and Datadog help enterprises organize telemetry data, but costs are becoming a concern in the AI era.
- Sawmills AI, a San Francisco startup, aims to reduce data and costs by using ML models to streamline telemetry data.
- They advocate for customers owning their telemetry data and offering solutions to trim unnecessary data before reaching observability tools.
- The company emerged with $10 million in seed funding, led by Team8, Mayfield, and Alumni Ventures.
- Sawmills focuses on tackling observability costs while enhancing data quality and reliability for businesses.
- Their platform allows better management, optimization, and action on telemetry data, aiming to reduce expenses for businesses effectively.
- Companies are reported to spend significant amounts on observability data, much of which provides little value, leading to cost concerns.
- Sawmills leverages AI and ML models to filter and optimize telemetry data before reaching observability tools, providing substantial cost savings.
- The platform enhances telemetry data management and offers smart sampling policies to control data volumes and associated costs.
- By allowing enterprises to retain control over their telemetry data, Sawmills aims to improve spending efficiency and system reliability.
VentureBeat | 19 Feb, 2025
Whale watch: Reddit stock has nearly tripled in recent months, and one major hedge fund made a $1 billion bet last quarter as it soared
- Coatue Management, a major hedge fund, revealed a $1 billion stake in Reddit stock in the fourth quarter.
- Reddit stock has nearly tripled since October, driven by solid earnings.
- The hedge fund's Reddit stake is worth around $1.2 billion, showing a year-to-date gain of $141 million.
- Coatue also reduced its Chinese stock holdings and established new positions in Charles Schwab, Affirm, Okta, and Datadog.
Insider | 19 Feb, 2025
EP150: 12 Algorithms for System Design Interviews
- This white paper by Datadog lays out a DevSecOps maturity model that maps key competencies and practices onto four distinct levels of maturity.
- The system design refresher this week covers 12 algorithms for system design interviews, including Bloom Filter, Geohash, HyperLogLog, Consistent Hashing, and more.
- The article explains how Kubernetes works, with developers creating manifest files, Kubernetes validating and deploying the applications across its cluster of worker nodes, and managing the entire lifecycle of the application.
- PostgreSQL 101 provides an overview of PostgreSQL's architecture, including concurrent client connections, background workers, shared memory, auxiliary processes, and different types of physical files used.
Byte Byte Go | 15 Feb, 2025
Cyber wrap: Palo Alto Networks, Datadog and CyberArk report strong results, mixed outlooks
- Shares in Palo Alto Networks Inc. dropped after lowering full-year outlook despite strong Q2 results, reporting adjusted EPS of 81 cents and revenue of $2.26 billion, surpassing analyst expectations.
- Datadog Inc.'s shares fell over 8% in trading, while CyberArk Software Ltd. saw a nearly 9% increase after their earnings reports.
- Palo Alto Networks' operating income rose 14% to $640 million, driven by Next Generation Security growth with $4.78 billion ARR and $13 billion remaining performance obligations.
- Datadog reported Q4 adjusted EPS of 49 cents and revenue of $738 million, ending with 462 customers with $1 million+ ARR and 3,610 customers with $100,000+ ARR.
- CyberArk reported Q4 adjusted EPS of 80 cents and revenue of $314.4 million, driven by a 51% growth in ARR to $1.169 billion and 62% growth in subscription revenue to $243 million.
- Palo Alto Networks expects Q3 adjusted EPS of 76-77 cents on revenue of $2.26-$2.29 billion, and full-year adjusted EPS of $3.18-$3.24 on revenue of $9.4-$9.19 billion.
- Datadog anticipates Q1 adjusted EPS of 41-43 cents on revenue of $737-$741 million, falling short of analyst expectations and full-year outlook.
- CyberArk projects Q1 adjusted EPS of 74-81 cents on revenue of $301-$307 million, and full-year adjusted EPS of $3.55-$3.70 on revenue of $1.308-$1.318 billion.
- CyberArk announced a $175 million deal to acquire Zilla Security Inc., showcasing its growth strategy in the cybersecurity market.
Siliconangle | 14 Feb, 2025
Telex vs. Datadog: A Competitive Analysis in Real-Time Monitoring
- Telex is compared to Datadog in a competitive analysis in real-time monitoring.
- Telex offers real-time application performance tracking and webhook notifications for instant alerts.
- Areas where Telex can improve include introducing AI-based anomaly detection, expanding third-party integrations, and providing more detailed tracing and root cause analysis.
- Telex differentiates itself by offering built-in channels and chat features for team collaboration, focusing on simplicity and ease of use, and prioritizing real-time webhook notifications.
Medium | 6 Feb, 2025
TELEX: A DISRUPTIVE SOLUTION!
- Telex is a real-time notification system designed to help users monitor application performance, collaborate with team members, and receive webhook notifications.
- Telex integrates monitoring, communication, and integrations into a single platform, offering a powerful alternative to fragmented solutions.
- Telex competes with Datadog for performance monitoring, Slack for communication & collaboration, and Pushover for notification & alerting system.
- Telex sets itself apart with features like real-time webhook monitoring, contextual alerts, and advanced notification customization.
Medium | 2 Feb, 2025
News alert: Doppler announces integration with Datadog to streamline credential security
- Doppler, a secrets management solutions provider, has announced an integration with Datadog, a cloud application monitoring and security platform.
- This collaboration enables engineering and operations teams to securely manage credentials and gain insights through real-time monitoring.
- The integration allows for automated secrets management, real-time monitoring and alerts, and security across hybrid environments.
- Doppler's CEO, Brian Vallelunga, stated that the integration simplifies security for developers and helps organizations protect their data.
Lastwatchdog | 1 Feb, 2025
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