HopsworksLogical Clocks
|
||||||
Related Products
|
||||||
About
Hopsworks is an open-source Enterprise platform for the development and operation of Machine Learning (ML) pipelines at scale, based around the industry’s first Feature Store for ML. You can easily progress from data exploration and model development in Python using Jupyter notebooks and conda to running production quality end-to-end ML pipelines, without having to learn how to manage a Kubernetes cluster. Hopsworks can ingest data from the datasources you use. Whether they are in the cloud, on‑premise, IoT networks, or from your Industry 4.0-solution. Deploy on‑premises on your own hardware or at your preferred cloud provider. Hopsworks will provide the same user experience in the cloud or in the most secure of air‑gapped deployments. Learn how to set up customized alerts in Hopsworks for different events that are triggered as part of the ingestion pipeline.
|
About
At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Data science teams seeking a solution to transform data into features
|
Audience
Developers searching for a high performance Python library solution for lazy out-of-core dataframes
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$1 per month
Free Version
Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationLogical Clocks
Founded: 2016
Sweden
www.logicalclocks.com/hopsworks
|
Company InformationVaex
The Netherlands
vaex.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Big Data Features
Collaboration
Supported
Data Blends
Not Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Supported
Data Warehousing
Supported
High Volume Processing
Supported
No-Code Sandbox
Not Supported
Predictive Analytics
Not Supported
Templates
Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Supported
Predictive Modeling
Supported
Statistical / Mathematical Tools
Supported
Templates
Supported
Visualization
Supported
Artificial Intelligence Features
Chatbot
Not Supported
For eCommerce
Supported
For Healthcare
Supported
For Sales
Not Supported
Image Recognition
Not Supported
Machine Learning
Not Supported
Multi-Language
Not Supported
Natural Language Processing
Not Supported
Predictive Analytics
Supported
Process/Workflow Automation
Supported
Rules-Based Automation
Not Supported
Virtual Personal Assistant (VPA)
Not Supported
Data Analysis Features
Data Discovery
Supported
Data Visualization
Supported
High Volume Processing
Supported
Predictive Analytics
Not Supported
Regression Analysis
Supported
Sentiment Analysis
Not Supported
Statistical Modeling
Not Supported
Text Analytics
Not Supported
Data Management Features
Customer Data
Supported
Data Analysis
Supported
Data Capture
Not Supported
Data Integration
Supported
Data Migration
Supported
Data Quality Control
Supported
Data Security
Supported
Information Governance
Not Supported
Master Data Management
Supported
Match & Merge
Not Supported
|
||||||
Integrations
Amazon Web Services (AWS)
Supported
Amazon EC2
Supported
Flyte
Not Supported
Google Cloud Platform
Not Supported
IBM watsonx.data
Supported
Onehouse
Supported
Python
Not Supported
|
Integrations
Amazon Web Services (AWS)
Supported
Amazon EC2
Not Supported
Flyte
Supported
Google Cloud Platform
Supported
IBM watsonx.data
Not Supported
Onehouse
Not Supported
Python
Supported
|
|||||
|
|
|