--- description: 검증된 사용 후기를 확인하고 Hopsworks 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: Hopsworks 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [기계 학습 소프트웨어](/directory/31103/machine-learning/software) > [Hopsworks](/software/199971/hopsworks) # Hopsworks Canonical: https://www.capterra.co.kr/software/199971/hopsworks > Hopsworks는 업계 최초의 기능 스토어를 기반으로 규모에 맞게 ML 모델을 개발하고 운영하기 위한 오픈 소스 플랫폼입니다. > > Verdict: Rated **4.7/5** by 3 users. Top-rated for **추천 가능성**. ----- ## Overview ### Hopsworks은(는) 누가 사용하나요? 관리되는 기능 스토어가 필요한 클라우드 기반 데이터 과학 팀을 대상으로 합니다. 기능 관리, 모델 학습, 제공 및 모니터링까지 전체 ML 수명 주기에 대해 확장 가능한 AI 플랫폼이 필요한 온프레미스 사용자를 대상으로 합니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.7/5** | 3 리뷰 | | 사용 편의성 | 4.7/5 | Based on overall reviews | | 고객 지원 | 5.0/5 | Based on overall reviews | | 비용 대비 가치 | 5.0/5 | Based on overall reviews | | 특징 | 5.0/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 추천 가능성) | ## 공급업체 정보 - **회사**: Logical Clocks - **Location**: Stockholm, 스웨덴 - **Founded**: 2016 ## Commercial Context - **시작 가격**: US$1.00 - **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 - **Supported Languages**: 영어 - **Available Countries**: 독일, 미국, 스웨덴 ## 특징 - ML 알고리즘 라이브러리 - Third-Party Integrations - 고객 데이터베이스 - 다중 데이터 소스 - 대용량 처리 - 데이터 검색 - 데이터 보안 - 데이터 시각화 - 데이터 웨어하우징 - 딥 러닝 - 모델 학습 - 보고/분석 - 액세스 제어/권한 - 예측 모델링 - 예측 분석 - 자연어 처리 - 정보 거버넌스 - 프로세스/워크플로 자동화 - 협업 도구 ## Integrations (2 total) - Amazon EC2 - Microsoft Azure ## Support Options - 이메일/지원 센터 - 지식 기반 - 전화 지원 - 채팅 ## 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) - [빅 데이터 소프트웨어](https://www.capterra.co.kr/directory/30851/big-data/software) - [인공 지능 소프트웨어](https://www.capterra.co.kr/directory/30938/artificial-intelligence/software) - [데이터 관리 소프트웨어](https://www.capterra.co.kr/directory/31003/data-management/software) - [데이터 분석 소프트웨어](https://www.capterra.co.kr/directory/31077/data-analysis/software) ## 대안 1. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 2. [Sisense](https://www.capterra.co.kr/software/86955/sisense) — 4.5/5 (378 reviews) 3. [JMP](https://www.capterra.co.kr/software/151815/jmp-statistical-software) — 4.5/5 (53 reviews) 4. [Dataiku](https://www.capterra.co.kr/software/142192/data-science-studio-dss) — 4.6/5 (13 reviews) 5. [Minitab](https://www.capterra.co.kr/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) ## 리뷰 ### "Skilled challenger to our Teradata suit" — 5.0/5 > **Markus** | *2020년 2월 14일* | 금융 서비스 | Recommendation rating: 9.0/10 > > **장점**: Hopsworks keeps us as a big organisation to be on our toes, in terms of what is possible and how fast it can be implemented. Nice to have options of on-premise and cloud, and extremely fast to add new libraries and other custom made wished from the data scientists. > > **단점**: Sometimes as it's rather flexible and fast to implement it can be hard to place it and understand it's belonging in our overall data architecture. ----- ### "Hopsworks" — 5.0/5 > **Zurab** | *2020년 4월 12일* | 병원 및 의료 | Recommendation rating: 10.0/10 > > **장점**: As a data scientist, I am mostly focusing on developing big data processing pipelines as well as feature engineering for which Hopsworks is probably one of the best platforms. It makes it very easy to run Spark or PySpark applications to process vast amount of data with available resources. Installing python libraries for Jupiter notebook is also quite straightforward which solves many painful problems for a data scientist. > > **단점**: One thing I would try to improve is to get better visibility of the logs after a job is completed. > > We recently analysed terabytes of cancer sequencing data and estimated what proportions of the cancers might be preventable in the future by vaccination. The paper is about to publish any day now and this study would have been impossible without Hopsworks. ----- ### "Hopsworks trial review" — 4.0/5 > **xavier** | *2020년 2월 11일* | 정보 기술 및 서비스 | Recommendation rating: 8.0/10 > > **장점**: - project oriented dat plateform - huge set of data analytics features (feature store, automl, lakehouse, kafka, spark, flink, ....) - devsecops oriented product (security, stretched cluster, model serving, scm, ...) - on-premise, cloud , multi-cloud (potential) and hybrid-cloud (potential) platform - easiness of use - european company - open source based product - gdpr compliancy - deep learning compliancy (gpu, tpu(?), pytorch, tensorflow) - openess (databricks, sagemake, ..., connectors) - ... > > **단점**: - Hudi instead of deltalake - lack of connection between deltalake (as provided with Hudi) and the feature store - unability to use the ELK or influxdb included tools - lack of connectors with AzureML, driveless ai, powerbi, azure datablob storage, snowflake, ... - lack of managed platform on azure or gcp as the one provided for aws - how to handle staging environment especially for the data sharing? - ability to deploy on a kubernetes environment outside hopsworks - R connection along with Python - difficulties to knwo the arguments for choosing hopsworks instead of dtabacricks, azureml, sagemaker, .... - lack of prepackaged, ready-to-use managed platform on an appliance for including intot a private datacenter - I don't know the pricing policy, and I'm not capable of comaring it with the competitor ones - no graphical etl-like tools enabling to create quickly a data engineering process and deploy it (à la dremio or dataiku) ## Links - [View on Capterra](https://www.capterra.co.kr/software/199971/hopsworks) ## 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 | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | ko | | | nl | | | nl-BE | | | sv | | ----- ## Structured Data