--- description: Get detailed information about Hopsworks and how it can help you meet your business needs. Learn more about Hopsworks price, benefits, and disadvantages for businesses in Singapore. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Hopsworks Pricing, Cost & Reviews - Capterra Singapore 2026 --- Breadcrumb: [Home](/) > [Machine Learning Software](/directory/31103/machine-learning/software) > [Hopsworks](/software/199971/hopsworks) # Hopsworks Canonical: https://www.capterra.com.sg/software/199971/hopsworks > Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale. > > Verdict: Rated **4.7/5** by 3 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Hopsworks? Cloud-based Data Science teams who need a managed Feature Store. On-premise users who need a scalable AI platform for the entire ML lifecycle: feature mngmt, model training, serving, and monitoring. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.7/5** | 3 Reviews | | Ease of Use | 4.7/5 | Based on overall reviews | | Customer Support | 5.0/5 | Based on overall reviews | | Value for Money | 5.0/5 | Based on overall reviews | | Features | 5.0/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: Logical Clocks - **Location**: Stockholm, Sweden - **Founded**: 2016 ## Commercial Context - **Starting Price**: US$1.00 - **Pricing model**: Per Feature (Free version available) (Free Trial) - **Pricing Details**: Contact Logical Clocks for more details - **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**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: Germany, Sweden, United States ## Features - Access Controls/Permissions - Collaboration Tools - Customer Database - Data Discovery - Data Security - Data Visualization - Data Warehousing - Deep Learning - High Volume Processing - Information Governance - ML Algorithm Library - Model Training - Multiple Data Sources - Natural Language Processing - Predictive Analytics - Predictive Modeling - Process/Workflow Automation - Reporting/Analytics - Third-Party Integrations ## Integrations (2 total) - Amazon EC2 - Microsoft Azure ## Support Options - Email/Help Desk - Knowledge Base - Phone Support - Chat ## Category - [Machine Learning Software](https://www.capterra.com.sg/directory/31103/machine-learning/software) ## Related Categories - [Machine Learning Software](https://www.capterra.com.sg/directory/31103/machine-learning/software) - [Big Data Software](https://www.capterra.com.sg/directory/30851/big-data/software) - [Artificial Intelligence (AI) Software](https://www.capterra.com.sg/directory/30938/artificial-intelligence/software) - [Data Management Software](https://www.capterra.com.sg/directory/31003/data-management/software) - [Data Analysis Software](https://www.capterra.com.sg/directory/31077/data-analysis/software) ## Alternatives 1. [Google Cloud](https://www.capterra.com.sg/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 2. [Anaconda](https://www.capterra.com.sg/software/191760/anaconda) — 4.6/5 (86 reviews) 3. [Intelligent Engagement Platform](https://www.capterra.com.sg/software/175288/ngdata-cdp) — 4.0/5 (1 reviews) 4. [Aware](https://www.capterra.com.sg/software/1019800/awarehq) — 3.5/5 (4 reviews) 5. [OpenText Analytics Cloud](https://www.capterra.com.sg/software/177019/opentext-analytics-suite) — 5.0/5 (1 reviews) ## Reviews ### "Skilled challenger to our Teradata suit" — 5.0/5 > **Markus** | *14 February 2020* | Financial Services | Recommendation rating: 9.0/10 > > **Pros**: 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. > > **Cons**: 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** | *12 April 2020* | Hospital & Health Care | Recommendation rating: 10.0/10 > > **Pros**: 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. > > **Cons**: 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** | *11 February 2020* | Information Technology & Services | Recommendation rating: 8.0/10 > > **Pros**: - 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) - ... > > **Cons**: - 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.com.sg/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