Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Hopsworks is a comprehensive open-source platform designed to facilitate the creation and management of scalable Machine Learning (ML) pipelines, featuring the industry's pioneering Feature Store for ML. Users can effortlessly transition from data analysis and model creation in Python, utilizing Jupyter notebooks and conda, to executing robust, production-ready ML pipelines without needing to acquire knowledge about managing a Kubernetes cluster. The platform is capable of ingesting data from a variety of sources, whether they reside in the cloud, on-premise, within IoT networks, or stem from your Industry 4.0 initiatives. You have the flexibility to deploy Hopsworks either on your own infrastructure or via your chosen cloud provider, ensuring a consistent user experience regardless of the deployment environment, be it in the cloud or a highly secure air-gapped setup. Moreover, Hopsworks allows you to customize alerts for various events triggered throughout the ingestion process, enhancing your workflow efficiency. This makes it an ideal choice for teams looking to streamline their ML operations while maintaining control over their data environments.
Description
Paxata is an innovative, user-friendly platform that allows business analysts to quickly ingest, analyze, and transform various raw datasets into useful information independently, significantly speeding up the process of generating actionable business insights. Besides supporting business analysts and subject matter experts, Paxata offers an extensive suite of automation tools and data preparation features that can be integrated into other applications to streamline data preparation as a service. The Paxata Adaptive Information Platform (AIP) brings together data integration, quality assurance, semantic enhancement, collaboration, and robust data governance, all while maintaining transparent data lineage through self-documentation. Utilizing a highly flexible multi-tenant cloud architecture, Paxata AIP stands out as the only contemporary information platform that operates as a multi-cloud hybrid information fabric, ensuring versatility and scalability in data handling. This unique approach not only enhances efficiency but also fosters collaboration across different teams within an organization.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon EC2
Yes
Amazon Web Services (AWS)
Yes
IBM watsonx.data
Yes
Lyftrondata
No
Microsoft Power Query
No
Onehouse
Yes
Integrations
Amazon EC2
No
Amazon Web Services (AWS)
No
IBM watsonx.data
No
Lyftrondata
Yes
Microsoft Power Query
Yes
Onehouse
No
Pricing Details
$1 per month
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Logical Clocks
Founded
2016
Country
Sweden
Website
www.logicalclocks.com/hopsworks
Vendor Details
Company Name
Paxata
Founded
2012
Country
United States
Website
paxata.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
Yes
For Sales
No
For eCommerce
Yes
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
Yes
Process/Workflow Automation
Yes
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Big Data
Collaboration
Yes
Data Blends
No
Data Cleansing
Yes
Data Mining
Yes
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
No
Predictive Analytics
No
Templates
Yes
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
No
Regression Analysis
Yes
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
No
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
Data Security
Yes
Information Governance
No
Master Data Management
Yes
Match & Merge
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No