--- description: 검증된 사용 후기를 확인하고 Datalore 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: Datalore 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [비즈니스 인텔리전스 소프트웨어](/directory/23/business-intelligence/software) > [Datalore](/software/1023000/datalore) # Datalore Canonical: https://www.capterra.co.kr/software/1023000/datalore Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/1023000/datalore?page=2) > Datalore는 코드 중심의 협업을 지원하는 데이터 분석 및 시각화 플랫폼입니다. > > Verdict: Rated **4.5/5** by 8 users. Top-rated for **추천 가능성**. ----- ## Overview ### Datalore은(는) 누가 사용하나요? Datalore Enterprise는 Python, SQL, R 또는 Scala에 집중되어 있고 비공개 클라우드 또는 온프레미스 환경에서 데이터 과학 플랫폼을 호스팅하려는 데이터 과학 및 데이터 분석 팀을 위해 설계되었습니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.5/5** | 8 리뷰 | | 사용 편의성 | 4.8/5 | Based on overall reviews | | 고객 지원 | 4.6/5 | Based on overall reviews | | 비용 대비 가치 | 4.4/5 | Based on overall reviews | | 특징 | 4.4/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 추천 가능성) | ## 공급업체 정보 - **회사**: JetBrains - **Founded**: 2000 ## Commercial Context - **시작 가격**: US$35.00 - **Pricing model**: (Free version available) (무료 체험판) - **Target Audience**: 51~200, 201~500, 501~1,000, 1,001~5,000, 5,001~10,000, 10,000+ - **Deployment & Platforms**: 클라우드, SaaS, 웹 기반, Linux(온프레미스) - **Supported Languages**: 영어 - **Available Countries**: 그리스, 네덜란드, 노르웨이, 뉴질랜드, 대만, 대한민국, 덴마크, 독일, 라트비아, 룩셈부르크, 리투아니아, 마카오(중국 특별행정구), 미국, 벨기에, 스웨덴, 스위스, 스페인, 슬로바키아, 싱가포르, 아랍에미리트 and 16 more ## 특징 - Publishing/Sharing - Real-Time Analytics - Real-Time Data - Scheduled/Automated Reports - Third-Party Integrations - 검색/필터 - 끌어서 놓기 - 다중 데이터 소스 - 대시보드 - 대시보드 만들기 - 데이터 가져오기/내보내기 - 데이터 검색 - 데이터 관리 - 데이터 시각화 - 데이터 캡처 및 전송 - 데이터 커넥터 - 동향 분석 - 딥 러닝 - 맞춤형 대시보드 - 맞춤형 보고서 - 맞춤형 템플릿 - 메타데이터 관리 - 모델 학습 - 보고 및 통계 - 보고/분석 - 성능 메트릭 - 시각 검색 - 시각 분석 - 액세스 제어/권한 - 예측 모델링 - 예측 분석 - 임시 보고 - 임시 쿼리 - 전략 계획 - 쿼리 작성기 - 협업 도구 ## Integrations (24 total) - Amazon EKS - Amazon Redshift - Amazon S3 - Apache Hive - Apache Ignite - Apache Spark - Azure Synapse Analytics - CockroachDB - Exasol - Firebird - Google Cloud - IBM Db2 - IBM Informix - InterSystems IRIS - MariaDB ... and 9 more integrations ## Support Options - 이메일/지원 센터 - FAQ/포럼 - 채팅 ## Category - [비즈니스 인텔리전스 소프트웨어](https://www.capterra.co.kr/directory/23/business-intelligence/software) ## 관련 범주 - [비즈니스 인텔리전스 소프트웨어](https://www.capterra.co.kr/directory/23/business-intelligence/software) - [데이터 분석 소프트웨어](https://www.capterra.co.kr/directory/31077/data-analysis/software) - [데이터 시각화 소프트웨어](https://www.capterra.co.kr/directory/30696/data-visualization/software) - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) ## 대안 1. [Google Analytics 360](https://www.capterra.co.kr/software/177042/google-analytics) — 4.7/5 (8091 reviews) 2. [Minitab](https://www.capterra.co.kr/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) 3. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 4. [OriginPro](https://www.capterra.co.kr/software/185129/originpro) — 4.8/5 (197 reviews) ## 리뷰 ### "Our Ops and Data team finally had access to our data" — 4.0/5 > **Daniel Sonny** | *2025년 6월 25일* | 컴퓨터 소프트웨어 | Recommendation rating: 8.0/10 > > **장점**: - Easy to start and use - Nice tool to learn how to query databases and how to use notebook to collect data - Possibility to use many programming languages and databases > > **단점**: - No connection to MongoDb - Compatibility with iPad and Safari to improve - S3 connection to better document or make easier to setup > > With Datalore we solved the difficulties in data access and discovery from less technical people of our team. ----- ### "It will help a lot in your company" — 5.0/5 > **Roberto** | *2023년 4월 20일* | 금융 서비스 | Recommendation rating: 10.0/10 > > **장점**: The features i mostly use is being able to schedule your notebooks, saving them in the cloud, being able to share a link to people that can help you in real time and the jetbrains algorithm to help me write my code. These features make my work very easier since I don't have to worry about running the scripts or setting up an airflow server. > > **단점**: Sometimes the kernel will just bug and you'll have to restart it but it never happens on scheduled notebooks and if it bugs you can always restart it with the click of a button so it's not annoying at all, and it happens very few times. > > I'm very satisfied with the product, always tell about when I meet people that works as data analysts. ----- ### "Good tool but occasionally unreliable" — 4.0/5 > **Vikash** | *2023년 3월 16일* | 교육 관리 | Recommendation rating: 7.0/10 > > **장점**: Ability to work across windows and mac environments; working in the cloud provides reliability and peace of mind... which is not the case with personal machines. > > **단점**: I lost data; Looks like, if the size is large, it doesn't back up the data... and there is no way to access it. I did these analysis that took like 30 hours of computing. It was a jsonl file; when I tried to get it into csv format, since the files were so large, it never saved anything. Proved to be a waste of time. > > God, but they need more storage space... and make sure that files over the storage limit can somehow be retrieved even if for a short while. ----- ### "Datalore for myself" — 4.0/5 > **Eli** | *2023년 3월 17일* | 정보 기술 및 서비스 | Recommendation rating: 8.0/10 > > **장점**: Easy to manage python packages, it saves a lot of time > > **단점**: Fine grade permission management on sharing notebooks and reports, I think most enterprise companies require this > > It is good, especially for package management and reporting ----- ### "It will help your academic research" — 5.0/5 > **Kristóf** | *2025년 4월 4일* | 컴퓨터 소프트웨어 | Recommendation rating: 8.0/10 > > **장점**: Really easy and intuitive environment. Works across all environments (Windows, Mac, Linux) Easy integration with other tools. > > **단점**: Sometimes there are small bugs, and you must restart the kernel, especially if you are using it to heavy duty model training. > > I have been using Datalore for 2 years now for academic purposes. I strongly believe that it is a game-changer\! It made my research easy. I normally do not like to use remote machines, but this tool has really helped me to create what was in my mind\! ----- Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/1023000/datalore?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/1023000/datalore) ## 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 | | | nl | | | nl-BE | | | pl | | | pt | | | pt-PT | | ----- ## Structured Data