--- description: 검증된 사용 후기를 확인하고 Datadog 사용성, 특징, 가격, 장점과 단점에 대한 자세한 정보를 확인해보세요! 비슷한 경쟁 제품도 확인이 가능합니다. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Datadog 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [웹 사이트 모니터링 소프트웨어](/directory/10021/website-monitoring/software) > [Datadog](/software/135453/datadog-cloud-monitoring) # Datadog Canonical: https://www.capterra.co.kr/software/135453/datadog-cloud-monitoring Page: 1 / 16\ 다음: [Next page](https://www.capterra.co.kr/software/135453/datadog-cloud-monitoring?page=2) > Datadog는 중앙 집중화된 모니터링 및 경보 기능을 통해 업타임을 늘리고 서비스 성능을 극대화할 수 있게 도와주는 서비스입니다. > > Verdict: Rated **4.6/5** by 366 users. Top-rated for **추천 가능성**. ----- ## Overview ### Datadog은(는) 누가 사용하나요? Datadog는 클라우드 시대의 개발자, IT 운영 팀, 보안 엔지니어, 비즈니스 사용자를 위한 모니터링, 보안 및 분석 플랫폼입니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.6/5** | 366 리뷰 | | 사용 편의성 | 4.3/5 | Based on overall reviews | | 고객 지원 | 4.3/5 | Based on overall reviews | | 비용 대비 가치 | 4.1/5 | Based on overall reviews | | 특징 | 4.5/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 추천 가능성) | ## 공급업체 정보 - **회사**: Datadog - **Founded**: 2010 ## Commercial Context - **시작 가격**: US$15.00 - **Pricing model**: (Free version available) (무료 체험판) - **Target Audience**: 자영업, 2\~10, 11\~50, 51\~200, 201\~500, 501\~1,000, 1,001\~5,000, 5,001\~10,000, 10,000+ - **Deployment & Platforms**: 클라우드, SaaS, 웹 기반, Mac(데스크톱), Windows(데스크톱), Linux(데스크톱), Windows(온프레미스), Linux(온프레미스), Android(모바일), iPhone(모바일), iPad(모바일) - **Supported Languages**: 영어, 일본어 - **Available Countries**: 그리스, 남아프리카, 네덜란드, 노르웨이, 뉴질랜드, 대한민국, 덴마크, 독일, 루마니아, 룩셈부르크, 리히텐슈타인, 멕시코, 모나코, 미국, 벨기에, 브라질, 스웨덴, 스위스, 스페인, 싱가포르 and 18 more ## 특징 - Alerts/Escalation - IT 모니터링 - KPI 모니터링 - Real-Time Analytics - Real-Time Data - Real-Time Monitoring - Real-Time Reporting - SLA(서비스 수준 계약) 관리 - Third-Party Integrations - 가상 머신 모니터링 - 경보/통지 - 그래픽 사용자 인터페이스 - 네트워크 모니터링 - 네트워크 프로비저닝 - 다중 데이터 소스 - 대시보드 - 대용량 처리 - 데이터 마이그레이션 - 데이터 수집 - 데이터 집계 - 로그 관리 - 로그 분석 - 로그 수집 - 문제 해결 - 사고 관리 - 사고 보고 - 상태 추적 - 서버 로그 - 성능 관리 - 성능 메트릭 - 성능 모니터링 - 성능 분석 - 시각 분석 - 애셋 추적 - 액세스 제어/권한 - 업타임 보고 - 용량 관리 - 웹 사이트 분석 - 웹 애플리케이션 보안 - 웹 트래픽 보고 - 위협 대응 - 이벤트 로그 - 이상점 감지 - 장치 자동 검색 - 정책 관리 - 지속적 배포 - 지속적 통합 - 진단 도구 - 취약성 스캔 - 협업 도구 ... and 48 more features ## Integrations (163 total) - ASP.NET Zero - AWS CloudTrail - AWS IoT Analytics - AWS Lambda - AWS Step Functions - AWS X-Ray - Adobe Experience Manager - Aerospike - Airbrake - Akka - Algorithmia - Alibaba Cloud - Amazon Cloud Search - Amazon CloudFront - Amazon Cognito ... and 148 more integrations ## Support Options - 이메일/지원 센터 - FAQ/포럼 - 지식 기반 - 전화 지원 - 채팅 ## Category - [웹 사이트 모니터링 소프트웨어](https://www.capterra.co.kr/directory/10021/website-monitoring/software) ## 관련 범주 - [웹 사이트 모니터링 소프트웨어](https://www.capterra.co.kr/directory/10021/website-monitoring/software) - [데이터 센터 관리 소프트웨어](https://www.capterra.co.kr/directory/10054/data-center-management/software) - [네트워크 모니터링 소프트웨어](https://www.capterra.co.kr/directory/30019/network-monitoring/software) - [애플리케이션 성과 관리 소프트웨어](https://www.capterra.co.kr/directory/30208/application-performance-management-software/software) - [로그 관리 소프트웨어](https://www.capterra.co.kr/directory/30856/log-management/software) ## 대안 1. [Sumo Logic](https://www.capterra.co.kr/software/124188/sumo-logic) — 4.6/5 (33 reviews) 2. [ManageEngine EventLog Analyzer](https://www.capterra.co.kr/software/175558/eventlog-analyzer) — 4.8/5 (5 reviews) 3. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2320 reviews) ## 리뷰 ### "A powerful all-in-one observability platform (just watch the cost)" — 5.0/5 > **Kaynan** | *2026년 7월 11일* | 컴퓨터 소프트웨어 | Recommendation rating: 8.0/10 > > **장점**: Datadog gives us a single pane of glass across our whole stack. I can jump from an APM trace to the exact logs and the host and container metrics behind a request without switching tools, which makes debugging production issues in our backend much faster. The dashboards are flexible, the out-of-the-box integrations covered almost everything we run, and monitors with alerting into Slack mean we usually hear about problems before users do. Distributed tracing across services has been especially valuable as our architecture grew. > > **단점**: Pricing is the big drawback: costs can climb quickly and unpredictably as you add hosts, custom metrics, and log ingestion, so you have to actively manage what you send. The sheer number of products and settings has a real learning curve, and getting sampling and index filters right takes effort. The UI can also feel heavy and occasionally slow when querying very large time ranges. > > Datadog has become a core part of how we run and observe our backend. It replaced stitching together separate metrics, logs, and tracing tools with one correlated platform, which shortened incident resolution and gave the team much better visibility into production. The main thing to stay on top of is cost, but the depth and reliability have made it worth it for us. ----- ### "Data-dog’s best in the market, why?" — 4.0/5 > **Amol** | *2025년 12월 17일* | 금융 서비스 | Recommendation rating: 10.0/10 > > **장점**: UI, how fast and reliable the integrations are, we haven't faced any massive issues till now in last 3 years > > **단점**: Cost, i think most of the customer might feel the same, for some organisation this becomes an burning issue. As when organisations try to cut cost they first go for any expensive tools they have and as far as i know the pricing model and cost is on a higher end in datadog > > Its impressive good fast reliable. As most of the integrations are very easy to implement. Documentation clear, support is highly knowledgeable, public cloud supports is unbeatable, they do prove why they are on costlier end comparing to other tools available in the marker ----- ### "Datadog - Whose a Good Boy?\!? You Are\! Datadog Is\!" — 5.0/5 > **Drew** | *2026년 7월 23일* | 소비자 상품 | Recommendation rating: 10.0/10 > > **장점**: Everything. Datadog is one of the most customizable, flexible, and malleable software suites that I have ever had the pleasure of using, and currently use. Amazing value for the money - you can get started on a ton of stuff for free, or extremely low cost - under $50.00. Customer support is great and they respond quickly - platform is super easy to use and the GUI is intuitive. Log searching andd data analysis are the strongpoints of Datadog - you can take an insane amount of data, and distill it quickly. You can do dev work as well in Datadog, and monitor pipelines. Datadog can also act as a SIEM and a log management solution for an EXTREMELY low barrier/cost to entry. > > **단점**: It is COMPLEX. I mean very, very complex. There are things that are extremely easy to use in Datadog, but overall, the entire suite is very sophisticated and complex. Some of the internal documentation isn't updated very often, so that you occasionally have setup instruction mismatches between their page and vendors. > > Amazing. I genuinely have really only good things to say about the entire platform. Its robust, powerful, and allows anyone from novice to expert, to do what they need to get done. ----- ### "Powerful Observability with Pricing to Watch" — 3.0/5 > **검증된 리뷰어** | *2026년 2월 21일* | 정보 기술 및 서비스 | Recommendation rating: 8.0/10 > > **장점**: I liked most about Datadog was its unified observability—metrics, logs, and traces in one intuitive, powerful platform. > > **단점**: I liked least about Datadog was the pricing complexity—it can get expensive and harder to predict at scale. > > My overall experience with Datadog was very positive—powerful, reliable monitoring with great visibility, though pricing can scale quickly. ----- ### "Brings many different monitoring tools into one platform\!" — 5.0/5 > **Edwin** | *2026년 7월 29일* | 금융 서비스 | Recommendation rating: 8.0/10 > > **장점**: What I liked most about Datadog is how it brings many different monitoring tools into one platform instead of having separate systems for logs, metrics, traces, and application performance monitoring. The AI-powered features are useful, especially for helping teams identify unusual behavior, detect potential issues faster, and understand large amounts of operational data without manually reviewing everything. The log management capabilities are strong because searching through millions of events is fast and the filtering options make troubleshooting much easier. I also like the dashboard customization because teams can create views based on their own services and business needs. For development teams, Datadog integrates well with cloud platforms, CI/CD pipelines, and modern application stacks. The alerting system helps developers catch problems early before they impact users. Overall, it saves engineering time by providing better visibility into production environments. > > **단점**: The biggest downside of Datadog is the cost, especially for larger organizations that generate a high volume of logs and monitoring data. While the platform provides many valuable features, pricing can become difficult to manage as usage grows. Some advanced features require additional licenses or paid add-ons, which can make budgeting more complicated. The platform also has a learning curve because there are many options available, and new users may need time to understand the best way to configure dashboards, alerts, and log pipelines. Log management can become expensive if teams do not carefully control what data they collect and retain. I also found that troubleshooting some configurations requires reading documentation or contacting support because there are many settings available. A simpler onboarding experience for advanced features would make Datadog easier for new teams. > > My overall experience with Datadog has been positive. It is a powerful observability platform that helps development and operations teams understand what is happening across applications, infrastructure, and services. The combination of logs, metrics, traces, and AI-assisted insights makes it easier to investigate production issues and improve system reliability. I especially appreciate the log search capabilities because finding the root cause of an issue is much faster compared to manually checking multiple systems. The data analysis features help teams identify trends and performance problems before they become major incidents. Datadog also works well in modern software development environments with cloud services and automated deployment pipelines. Customer support and documentation are generally helpful when setting up more complex monitoring scenarios. Although the pricing requires careful planning, the value comes from reducing downtime, improving developer productivity, and giving teams a clearer view of their systems. ----- Page: 1 / 16\ 다음: [Next page](https://www.capterra.co.kr/software/135453/datadog-cloud-monitoring?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/135453/datadog-cloud-monitoring) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | ko | | | nb | | | nl | | | nl-BE | | | pl | | | pt | | | pt-PT | | | sv | | ----- ## Structured Data