Hopsworks 2026: Benefits, Features & Pricing

Software Advice offers objective insights based on verified user reviews and independent product and market research. When our advisors match you to a software provider, we may earn a referral fee.

How Software Advice ensures transparency

Software Advice lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. Users can talk to our advisors for free to receive software recommendations matching their needs. Software providers pay us for sponsored profiles to reach users interested in their products.

How Software Advice verifies reviews

Software Advice carefully verified over 2 million reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI.

Independent research methodology

Researchers at Software Advice use a mix of verified reviews, independent research, and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or talk to an advisor, this has no influence on our research or methodology.

Wondering if Hopsworks is right for your organization?

Our Data Management Software selection experts can help you in 15 minutes or less.

On this page

Overview
Pricing and Plans
Features
Integrations
User Reviews

Overview

Hopsworks

4.7

(3)

Pricing

Starting at $1.00 per month

About Hopsworks

Hopsworks Open-source enterprise feature store is the leading machine learning platform for the full lifecycle of AI projects. It offers an effective collaborative layer for all data teams, allowing them to leverage any data source for any application, at any performance or scale, and across any environment.

It lets businesses increase team productivity and deploy their models faster. Hopsworks Feature Store is Python-Centric - Feature engineering at a reasonable scale. Users can use their own code or any popular library and framework in Hopsworks. Collaborative - Role-based access control, project-based multi-tenancy, custom metadata for governance. Spark/SQL/Flink - Feature Engineering at scale, and with the freshest features. Batch or Streaming feature pipelines. All Clouds - Users' cloud, your infrastructure, on-premise or anywhere else; managed clusters on AWS, Azure, or GCP.

Hopsworks Screenshots

Hopsworks Pricing and Plans

Starting price: $1.00 per month

Free Trial

Free Version

Basic

$1.00

per feature, per month

No plan information available

Confused about pricing? We've got you covered.

Get a personalized pricing breakdown tailored to your specific needs—no guesswork, no generic estimates.

Hopsworks Features

Popular features found in Data Management
Access Controls/Permissions
Activity Dashboard
Automatic Backup
Customer Database
Data Connectors
Data Import/Export
Data Migration
Data Quality Control
Data Security
Data Synchronization
Data Visualization
Multiple Data Sources
More features of Hopsworks
API
Collaboration Tools
Data Analysis Tools
Data Cleansing
Data Discovery
Data Integration
Data Transformation
Data Verification
Data Warehousing
Deep Learning
For eCommerce
High Volume Processing
Information Governance
Machine Learning
Master Data Management
Metadata Management
ML Algorithm Library
Model Training
Monitoring
Natural Language Processing
Predictive Analytics
Predictive Modeling
Process/Workflow Automation
Reporting/Analytics
Role-Based Permissions
Search/Filter
Secure Data Storage
Templates
Third-Party Integrations

Hopsworks Integrations

Amazon EC2

Microsoft Azure

Hopsworks User Reviews

Overall Rating

4.7

Ratings Breakdown

67%

33%

Secondary Ratings

Ease of Use

4.7

Value for money

5.0

Customer support

5.0

Functionality

5.0

Have you used Hopsworks and would like to share your experience with others?

Markus S.

Verified reviewer

Financial Services

10000+ employees

Used other for less than 2 years

Review source

Reviewed February 2020

Skilled challenger to our Teradata suit

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

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.

Zurab B.

Verified reviewer

Hospital & Health Care

51-200 employees

Used daily for more than 2 years

Review source

Reviewed April 2020

Hopsworks

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.

Ratings Breakdown

Ease of use

Customer support

Functionality

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.

xavier m.

Verified reviewer

Information Technology and Services

51-200 employees

Used other for less than 2 years

Review source

Reviewed February 2020

Hopsworks trial review

Ratings Breakdown

Ease of use

Functionality

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)

Reasons for choosing Hopsworks

the (potential) ability to be multi-,hybrid-cloud and to warranty good SLA the devsecops workflow all in one platform which is project oriented

Showing 1 - 3 of 3 Reviews