Hopsworks Pricing, Features, Reviews & Comparison of Alternatives

Hopsworks

Machine learning (ML) application building platform

4.67/5 (3 reviews)

Hopsworks overview

What is Hopsworks?

Hopsworks is a cloud-based and on-premise solution, which helps businesses in automotive, finance and healthcare industries design and operate machine learning (ML) applications. Key features include data preparation, model validation, version control, model serving, and monitoring.

It enables developers to collect data from multiple structured and unstructured sources and perform validation in order to create training data for models. The solution allows professionals to annotate models with metadata, letting developers perform root cause analysis and discover bugs across models. Engineers can prepare ML pipelines in Python language and design production code in the Jupyter Notebook for further execution. Hopsworks offers GDPR-compliant secure storage to manage sensitive datasets, grant users role-based access, and prevent data export from the project. Moreover, with the solution’s Airflow Operator feature, professionals can track errors and receive notifications about production problems in real-time.

Hopsworks comes with a feature store module, which enables data scientists to discover, analyze, and reuse features across applications, add new features, and create curated data for machine learning algorithms. It also ensures consistency in the feature engineering process, executes time-travel queries, and generates high-quality data using validation tools. Plus, the solution assists users with both stream and data-parallel processing via the Apache Spark, Apache Flink, and Apache Beam applications.
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Pricing

Starting from
$1/month
Pricing options
Free
Subscription
Free trial
Value for money
View Pricing Plans

Devices

Business size

S
M
L

Markets

United States, Germany

Supported languages

English
Hopsworks screenshot: Hopsworks access controlEnd-to-End ML with Hopsworks' Feature Store, SKLearn, Model Serving, InferenceHopsworks screenshot: Hopsworks API key generationHopsworks screenshot: Hopsworks project creation Hopsworks screenshot: Hopsworks dataset sharing

Hopsworks reviews

Excellent
2

Very good
1

Average
0
Poor
0
Terrible
0
Value for money
Features
Ease of use
Customer support
  5.0
  5.0
  4.7
  5.0
Markus Smed

Skilled challenger to our Teradata suit

Used occasionally for 1-2 years
Reviewed 2020-02-14
Review Source: Capterra

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.

Rating breakdown

Value for money
Ease of use
Features
Customer support

Likelihood to recommend: 9/10

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Zurab Bzhalava

Hopsworks

Used daily for 2+ years
Reviewed 2020-04-12
Review Source: Capterra

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.

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.

Rating breakdown

Ease of use
Features
Customer support

Likelihood to recommend: 10/10

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xavier mehaut

Hopsworks trial review

Used occasionally for 1-2 years
Reviewed 2020-02-11
Review Source: Capterra

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)

Rating breakdown

Ease of use
Features

Likelihood to recommend: 8/10

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Hopsworks pricing

Starting from
$1/month
Pricing options
Free
Subscription
Free trial
View Pricing Plans

Contact Logical Clocks for more details

Hopsworks features

API
Analytics
Data Filtering
Data Visualization
Monitoring
Predictive Analytics
Secure Data Storage
Third Party Integration

Activity Dashboard (34 other apps)
Collaboration Tools (22 other apps)
Data Capture and Transfer (35 other apps)
Data Extraction (31 other apps)
Data Import (21 other apps)
Data Import/Export (30 other apps)
Drag & Drop Interface (27 other apps)
Multi-Language (40 other apps)
Real Time Data (21 other apps)
Real Time Monitoring (20 other apps)
Sentiment Analysis (21 other apps)
Workflow Management (25 other apps)

Videos and tutorials

Additional information for Hopsworks

Key features of Hopsworks

  • Collaboration
  • Customer Data
  • Data Cleansing
  • Data Discovery
  • Data Mining
  • Data Quality Control
  • Deep Learning
  • For Healthcare
  • For eCommerce
  • High Volume Processing
  • ML Algorithm Library
  • Machine Learning
  • Master Data Management
  • Model Training
  • NLP
  • Process/Workflow Automation
  • Statistical / Mathematical Tools
  • Templates
View All Features