--- description: 검증된 사용 후기를 확인하고 Dataiku 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: Dataiku 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [인공 지능 소프트웨어](/directory/30938/artificial-intelligence/software) > [Dataiku](/software/142192/data-science-studio-dss) # Dataiku Canonical: https://www.capterra.co.kr/software/142192/data-science-studio-dss Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/142192/data-science-studio-dss?page=2) > Dataiku는 사람, 기술 및 프로세스를 연결하여 엔터프라이즈 AI로 향하는 빠르고 안정적이며 지속 가능한 경로를 제공할 수 있습니다. > > Verdict: Rated **4.6/5** by 13 users. Top-rated for **추천 가능성**. ----- ## Overview ### Dataiku은(는) 누가 사용하나요? DSS는 전문 지식, 산업 또는 규모에 관계없이 원시 데이터를 비즈니스에 영향을 미칠 수 있는 예측으로 변환하여 데이터에 기반한 고유한 전략적 이점을 만들려는 모든 회사를 대상으로 합니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.6/5** | 13 리뷰 | | 사용 편의성 | 4.5/5 | Based on overall reviews | | 고객 지원 | 4.4/5 | Based on overall reviews | | 비용 대비 가치 | 4.3/5 | Based on overall reviews | | 특징 | 4.5/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 추천 가능성) | ## 공급업체 정보 - **회사**: Dataiku - **Location**: Paris France, 프랑스 - **Founded**: 2013 ## Commercial Context - **시작 가격**: US$0.01 - **Pricing model**: (Free version available) (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, Mac(데스크톱), Windows(데스크톱) - **Supported Languages**: 독일어, 스페인어, 영어, 프랑스어 - **Available Countries**: 독일, 미국, 스페인, 오스트레일리아, 캐나다, 프랑스 ## 특징 - ML 알고리즘 라이브러리 - Third-Party Integrations - 다중 데이터 소스 - 데이터 가져오기/내보내기 - 데이터 검색 - 데이터 시각화 - 데이터 추출 - 데이터 캡처 및 전송 - 딥 러닝 - 모델 학습 - 보고/분석 - 셀프 서비스 분석 - 액세스 제어/권한 - 예측 모델링 - 예측 분석 - 워크플로 관리 - 자연어 처리 - 통계 분석 - 프로세스/워크플로 자동화 - 협업 도구 ## Support Options - 이메일/지원 센터 - FAQ/포럼 - 지식 기반 - 전화 지원 - 채팅 ## Category - [인공 지능 소프트웨어](https://www.capterra.co.kr/directory/30938/artificial-intelligence/software) ## 관련 범주 - [인공 지능 소프트웨어](https://www.capterra.co.kr/directory/30938/artificial-intelligence/software) - [데이터 분석 소프트웨어](https://www.capterra.co.kr/directory/31077/data-analysis/software) - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) - [빅 데이터 소프트웨어](https://www.capterra.co.kr/directory/30851/big-data/software) - [데이터 거버넌스 소프트웨어](https://www.capterra.co.kr/directory/30854/data-governance/software) ## 대안 1. [MATLAB](https://www.capterra.co.kr/software/125813/matlab) — 4.6/5 (2093 reviews) 2. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 3. [Minitab](https://www.capterra.co.kr/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) 4. [Looker](https://www.capterra.co.kr/software/169053/looker) — 4.5/5 (282 reviews) 5. [JMP](https://www.capterra.co.kr/software/151815/jmp-statistical-software) — 4.5/5 (53 reviews) ## 리뷰 ### "Review for Dataiku platform" — 5.0/5 > **Grishma** | *2024년 3월 15일* | 화학 | Recommendation rating: 10.0/10 > > **장점**: The flow in the Dataiku describes the process flow of the project easily. Scenarios and triggers are there for the automation process. Modeling is easier and shows the validations along with the results. Basic Visualizations can also be done in Dataiku. > > **단점**: Sometimes it has complexity in creating web applications and to integrate with other tools. > > Overall experience is great because it is a good platform for Data Scientists, Data Analysts and Researchers. It has ML and AI functionalities. ----- ### "best for non-technical users to view result of coding" — 4.0/5 > **Terry** | *2025년 5월 8일* | 광업 및 금속 | Recommendation rating: 8.0/10 > > **장점**: allow both technical users and non technical users to edit the data with code or simply excel style > > **단점**: the user interface to add pipelines are a but clunky, it is very easy to create a fat finger error ----- ### "Great Product for Data Science Enablement" — 4.0/5 > **검증된 리뷰어** | *2022년 4월 30일* | 경영 컨설팅 | Recommendation rating: 7.0/10 > > **장점**: The ease of onboarding people onto the platfrom is seemless. In addition, Dataiku provides their own modules that help in getting accustomed to the product. The width of options that you get for analysis is also vast and might be a one stop solution for all data science needs > > **단점**: The least enjoyable expereince of this product has to be the outages that become frequent with each version revision. > > The breadth of choices that one gets with the product is esstial for anyone transioning to get more data science enablement. This platform is great to have a streamlined and operational portfolio of all your data requirements. There are outages that might occur once in a while but the quick turnaround time ensures that work is not compromised ----- ### "DataIku is making life easier" — 5.0/5 > **Jaimy** | *2023년 2월 14일* | 마케팅 및 광고 | Recommendation rating: 8.0/10 > > **장점**: Truly makes your life and the one of your team easier\! The biggest plus to this program is how over-viewable and de-cluttered. Biggest problem I used to face is having files all over the place, and reports all over the place. Now they can be made more quickly than ever before. > > **단점**: Personally, the amount of options can be overwhelming. Luckily, Dataiku does offer learning videos on how to use the platform, which I would highly recommend everyone to watch before diving into this platform. However, as mentioned before, it is easy to get lost in the amount of options there are available. ----- ### "Dataiku - Future of Data Science Platform" — 5.0/5 > **Vivek** | *2021년 10월 5일* | 정보 기술 및 서비스 | Recommendation rating: 10.0/10 > > **장점**: time saving, useful for both coders and non-coders, allows for multi-user collaboration and monitoring, creating flowcharts help in maintaining granularity > > **단점**: It is in the early phase of its launch, 8 years old precisely. Hence, the customer support is not as widespread as other customer supports like stackoverflow, etc. > > Whether the project requires data accumulation, or preprocessing, or data manipulation, or extracting business insights from data, Dataiku is the go-to platform. It covers end-to-end project execution and deployment along with providing API support. ----- Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/142192/data-science-studio-dss?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/142192/data-science-studio-dss) ## 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 | | | pt | | | pt-PT | | | sv | | ----- ## Structured Data