--- description: Ontdek de plus- en minpunten van Hopsworks en leer meer over de functies, de prijs en het gebruiksgemak van de software. Lees nuttige beoordelingen van geverifieerde gebruikers en ontdek vergelijkbare programma's. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Hopsworks - Bekijk prijzen, reviews en scores - Capterra Nederland 2026 --- Breadcrumb: [Startpagina](/) > [Machine learning software](/directory/31103/machine-learning/software) > [Hopsworks](/software/199971/hopsworks) # Hopsworks Canonical: https://www.capterra.nl/software/199971/hopsworks > Hopsworks is een open-sourceplatform voor het ontwikkelen en beheren van ML-modellen op schaal, gebaseerd op de eerste feature store van de industrie. > > Oordeel: score van **4.7/5** door 3 gebruikers. Hoge score voor **Waarschijnlijkheid van aanbeveling**. ----- ## Overzicht ### Wie gebruikt Hopsworks? Cloudgebaseerde data science-teams die een beheerde feature store nodig hebben. Lokale gebruikers die een schaalbaar AI-platform nodig hebben voor de hele ML-levenscyclus: functiebeheer, modeltraining, serveren en bewaken. ## Snelle statistieken en scores | Metriek | Score | Details | | **In totaal** | **4.7/5** | 3 Reviews | | Gebruiksgemak | 4.7/5 | Gebaseerd op alle reviews | | Klantenondersteuning | 5.0/5 | Gebaseerd op alle reviews | | Prijs-kwaliteitverhouding | 5.0/5 | Gebaseerd op alle reviews | | Functies | 5.0/5 | Gebaseerd op alle reviews | | Aanbevelingspercentage | 90% | (9/10 Waarschijnlijkheid van aanbeveling) | ## Over de leverancier - **Bedrijf**: Logical Clocks - **Locatie**: Stockholm, Zweden - **Opgericht**: 2016 ## Commerciële context - **Beginprijs**: US$ 1,00 - **Prijsmodel**: (Gratis versie beschikbaar) (Gratis proef) - **Doelgroep**: 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Implementatie en platforms**: Cloud, SaaS, Web - **Ondersteunde talen**: Engels - **Beschikbare landen**: Duitsland, Verenigde Staten, Zweden ## Functies - Bibliotheek met ML-algoritmes - Datawarehousing - Deep Learning - Gegevensbeveiliging - Gegevensdetectie - Gegevensvisualisatie - Informatiegovernance - Klantendatabase - Meerdere gegevensbronnen - Modeltraining - Predictieve analyse - Predictieve modellering - Proces- en workflowautomatisering - Rapportage en analyse - Samenwerkingstools - Third-Party Integrations - Toegangsopties/machtigingen - Verwerking van grote volumes - Verwerking van natuurlijke taal (NLP) ## Integraties (2 in totaal) - Amazon EC2 - Microsoft Azure ## Ondersteuningsopties - E-mail/helpdesk - Kennisbank - Telefonische ondersteuning - Chatten ## Categorie - [Machine learning software](https://www.capterra.nl/directory/31103/machine-learning/software) ## Gerelateerde categorieën - [Machine learning software](https://www.capterra.nl/directory/31103/machine-learning/software) - [Big data software](https://www.capterra.nl/directory/30851/big-data/software) - [AI-software](https://www.capterra.nl/directory/30938/artificial-intelligence/software) - [Data management software](https://www.capterra.nl/directory/31003/data-management/software) - [Data analyse tools](https://www.capterra.nl/directory/31077/data-analysis/software) ## Alternatieven 1. [Google Cloud](https://www.capterra.nl/software/170983/google-cloud-platform) — 4.7/5 (2269 reviews) 2. [Splunk Enterprise](https://www.capterra.nl/software/94317/splunk) — 4.6/5 (259 reviews) 3. [Sisense](https://www.capterra.nl/software/86955/sisense) — 4.5/5 (378 reviews) 4. [JMP](https://www.capterra.nl/software/151815/jmp-statistical-software) — 4.5/5 (53 reviews) 5. [Elastic Stack](https://www.capterra.nl/software/149304/elasticsearch) — 4.6/5 (70 reviews) ## Reviews ### "Skilled challenger to our Teradata suit" — 5.0/5 > **Markus** | *14 februari 2020* | Financiële dienstverlening | Aanbevelingsscore: 9.0/10 > > **Pluspunten**: 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. > > **Minpunten**: 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* | Ziekenhuis- en gezondheidszorgbranche | Aanbevelingsscore: 10.0/10 > > **Pluspunten**: 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. > > **Minpunten**: 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 februari 2020* | Informatietechnologie en -diensten | Aanbevelingsscore: 8.0/10 > > **Pluspunten**: - 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) - ... > > **Minpunten**: - 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 - [Bekijk op Capterra](https://www.capterra.nl/software/199971/hopsworks) ## Deze pagina is beschikbaar in de volgende talen | Locatie | 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 | | ----- ## Gestructureerde gegevens