--- description: 검증된 사용 후기를 확인하고 DataRobot 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: DataRobot 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [기계 학습 소프트웨어](/directory/31103/machine-learning/software) > [DataRobot](/software/179303/datarobot) # DataRobot Canonical: https://www.capterra.co.kr/software/179303/datarobot > DataRobot은 세계에서 가장 진보된 엔터프라이즈 자동화 기계 학습 플랫폼입니다. > > Verdict: Rated **4.8/5** by 5 users. Top-rated for **추천 가능성**. ----- ## Overview ### DataRobot은(는) 누가 사용하나요? 클라우드 기반 기계 학습 플랫폼으로, 기업이 기계 학습 모델을 배포하고 첨단 AI 애플리케이션을 제작하여 데이터 과학 역량을 확장할 수 있도록 지원합니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.8/5** | 5 리뷰 | | 사용 편의성 | 5.0/5 | Based on overall reviews | | 고객 지원 | 4.3/5 | Based on overall reviews | | 비용 대비 가치 | 4.2/5 | Based on overall reviews | | 특징 | 4.8/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 추천 가능성) | ## 공급업체 정보 - **회사**: DataRobot - **Founded**: 2012 ## Commercial Context - **Pricing model**: (무료 체험판) - **Target Audience**: 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, Linux(데스크톱) - **Supported Languages**: 영어, 일본어, 포르투갈어 - **Available Countries**: 미국 ## 특징 - API - Artificial Neural Networks - ML 알고리즘 라이브러리 - 딥 러닝 - 모델 학습 - 시각화 - 신경망 모델링 - 예측 모델링 - 예측 분석 - 자연어 처리 ## Integrations (6 total) - Alteryx Designer - Automation Anywhere - Looker - Qlik Sense - Tableau - UiPath ## Support Options - 이메일/지원 센터 - 지식 기반 ## Category - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) ## 관련 범주 - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) - [딥 러닝 소프트웨어](https://www.capterra.co.kr/directory/31104/deep-learning/software) - [인공 지능 소프트웨어](https://www.capterra.co.kr/directory/30938/artificial-intelligence/software) ## 대안 1. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 2. [XLSTAT](https://www.capterra.co.kr/software/119448/xlstat) — 4.7/5 (398 reviews) 3. [Dataiku](https://www.capterra.co.kr/software/142192/data-science-studio-dss) — 4.6/5 (13 reviews) 4. [vSphere](https://www.capterra.co.kr/software/93512/vmware-horizon) — 4.7/5 (433 reviews) 5. [Datalore](https://www.capterra.co.kr/software/1023000/datalore) — 4.5/5 (8 reviews) ## 리뷰 ### "DataRobot, a must try ML based tool in the market" — 4.0/5 > **검증된 리뷰어** | *2024년 8월 9일* | 정보 기술 및 서비스 | Recommendation rating: 8.0/10 > > **장점**: 1. High standard of speed test ready model 2. UI is not cluttered 3. Robust data science auto ML platform with multi configuring options 4. Excellent time series model 5. Easy to implement and run through > > **단점**: 1. AI is pretty complex and only set for expert level folks 2. Higher cost with the limited seats up to 5 users in one license 3. No native connector is provided wile you use hadoop hive/ impala > > Its a fair tool for 100% data automation but needs a lot of development for wide level of market acceptance ----- ### "Easy to use and flexible" — 5.0/5 > **DYLAN** | *2021년 6월 11일* | 마케팅 및 광고 | Recommendation rating: 10.0/10 > > **장점**: For start-up it's great. The design and understanding for beginners Is well thought out. It's initiative design and interface is very good. It's fast and value for any user > > **단점**: I need to clean the data often No ETL capabilities Plug and play API's would be a bonus But for the price it's good > > For solving Marketing use cases such as , ideal customer profiles, it's a great experience. I would recommend to anyone ----- ### "Powerful but expensive" — 5.0/5 > **검증된 리뷰어** | *2020년 9월 26일* | 고등 교육 | Recommendation rating: 5.0/10 > > **장점**: The auto machine learning model training capability of this software is really powerful and shows a ton of metrics upon completion. Overall, it is also very easy to use. > > **단점**: This software is too expensive for companies we talk to who are just trying to get started in machine learning, and the fact that AutoML, one of the most important tools for a citizen data scientist, is not in the free version, makes it hard to us to convince companies to "try out" machine learning. > > It has been very positive, it's just unfortunate that AutoML is only available for 30 days. ----- ### "Good and straightforward" — 5.0/5 > **검증된 리뷰어** | *2019년 11월 12일* | 소비자 서비스 | Recommendation rating: 10.0/10 > > **장점**: Great robot data software, easy to use and implement > > **단점**: It can be confusing but the manual help me sort it out ----- ### "The future of machine learning\!" — 5.0/5 > **검증된 리뷰어** | *2019년 7월 24일* | 병원 및 의료 | Recommendation rating: 9.0/10 > > **장점**: I like that it automatically puts datasets through multiple. One does not need heavy machine learning training in order to use this tool and read the results. > > **단점**: I dislike that the file types it accepts for data is somewhat limited. ## Links - [View on Capterra](https://www.capterra.co.kr/software/179303/datarobot) ## 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 | | | ja | | | ko | | | nb | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Structured Data