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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 

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Alternatives

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