Datadog AI vs Honeycomb — Comparison

Datadog AI

See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free.

Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and many other capabilities to provide unified, real-time observability and security for our customers’ entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior, and track key business metrics. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. Before Wireless Generation, Olivier held software engineering positions at IBM Research and several internet startups. Olivier is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris. Prior to founding Datadog, Olivier Pomel built data systems for K-12 teachers as a VP, Technology for Wireless Generation, where he grew the development team from a handful of people to close to 100 of the best engineers in New York until the company’s acquisition by News Corp. Before Wireless Generation, Olivier held software engineering positions at IBM Research and several internet startups. Olivier is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris. Prior to founding Datadog, Alexis Lê-Quôc served as the Director of Operations for Wireless Generation, where he built the team and infrastructure that served more than four million students in 49 states. As a member of the original “devops” movement, Alexis spent several years as a software engineer at IBM Research, Neomeo, and Orange, and he brings a strong focus on technical elegance and operational efficiency to Datadog. Alexis holds an MS, CS from the Ecole Centrale Paris and has presented sessions on cloud monitoring and server performance at many conferences, including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. Prior to founding Datadog, Alexis Lê-Quôc served as the Director of Operations for Wireless Generation, where he built the team and infrastructure that served more than four million students in 49 states. As a member of the original “devops” movement, Alexis spent several years as a software engineer at IBM Research, Neomeo, and Orange, and he brings a strong focus on technical elegance and operational efficiency to Datadog. Alexis holds an MS, CS from the Ecole Centrale Paris and has presented sessions on cloud monitoring and server performance at many conferences, including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. David Obstler brings more than three

Honeycomb

Observability for what comes next. Honeycomb gives you the context, speed and scale you need to build great software in the AI era.

Learn how an ops engineer and a developer came together to solve a really hard engineering problem, create the observability category, and bring tools that do not suck to engineering teams everywhere. We are the observability pioneers, and we will be your partners and guides along your journey. We meet you where you are, and guide you to a better place. Observability is the future—and it’s up to us to take the lead and shape that future. We believe in questioning the status quo and charting our own path. Perhaps you do, too. Our values are the “how” in how we work with our colleagues, engage with our community, and build observability software. Take pride in your craft and ship relentlessly. Be like our storage engine: 99% right in milliseconds is better than 100% right in an hour. Code in production is worth two in canary. Pay attention to your mind and body so you can give and get help. All of us wobble, and being transparent about that means we can support each other. Don’t get attached to specific outcomes, as they can prevent you from moving forward. Construct your experiments with purpose, evaluate them with honesty, and share your results. Giving and receiving feedback is like strengthening a muscle. This is not a skill we are born with, or ever perfectly master; and nobody gets it right every single time. Come curious. Focus on impact over output. Be generous with your ideas and use your judgment. Optimize for our collective success, not individual glory. Kill your darlings. Be bold and shake it up. We think equally about building Honeycomb the product, the business, and the company. We’re committed to building a software engineering company of which our people are proud to have been a part. After years in engineering feeling like I was missing critical insights, with our switch to Honeycomb, suddenly, it’s like I have sight for the first time in my career. Principal Software Engineer, Phorest We rely on Honeycomb to provide the world-class scale and resilience LaunchDarkly customers expect. Co-founder and CEO, LaunchDarkly We’re able to bring a different mentality in the way we run and manage our production systems. We were able to really help our engineering teams and change the culture. Chief Solutions Architect, Vanguard People ask, ‘Where’s Honeycomb in the new architecture?’ The answer is it’s everywhere. It’s built in. Technical Director of Infrastructure,
CCP Games We have predictable pricing that lets us do away with the legacy approach of sampling logs to preserve budget. Honeycomb’s event-based pricing empowers us to see every request from every service that comes through. Director of Platform Engineering, Fender As well as Mike Krieger, Ilya Sukhar, Anamitra Banerji, Venkat Venkataramani, and a number of other angels. Learn more about the power and possibilities of Honeycomb. AI documentation platform Scribe replaced an inflexible observability stack with Honeycomb to regain control over cost, debugging

Datadog AI

Honeycomb

Datadog AI

Honeycomb

Datadog AI

Honeycomb