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Ratings and Reviews 0 Ratings
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What is Rapidminer SLC?
Rapidminer SLC is a Siemens analytics platform designed to help organizations modernize SAS language environments while expanding into open-source and multi-platform analytics. It allows teams to keep using existing SAS language programs while also working with Python, R, SQL, no-code tools, and drag-and-drop workflows. The solution helps organizations reduce migration risk by supporting existing analytics assets rather than requiring a disruptive replacement process. Rapidminer SLC is built to maintain business continuity while giving analysts, developers, and operations teams a path toward a more flexible analytics ecosystem. Users can create, execute, and operationalize analytics in modern environments across on-premises, cloud, and hybrid infrastructures. The platform supports access to many data sources, including cloud services, Hadoop, data warehouses, databases, Microsoft Excel, CSV, SPSS, SAS language data, and other file-based formats. Its Analytics Workbench provides a modern IDE for building, maintaining, running, and reviewing programs across multiple languages. Teams can explore data, results, and logs using code, no-code methods, or a combination of both. Rapidminer SLC makes it easier to exchange data between SAS language, Python, R, and SQL, helping organizations blend established workflows with newer analytics approaches. Rapidminer SLC Hub supports enterprise needs such as security, load balancing, deployment, publishing, scheduling, user provisioning, and workload distribution across resilient node clusters. With broad data access, multi-language development, centralized governance, and enterprise execution tools, Rapidminer SLC helps businesses transition analytics infrastructure while protecting existing investments.
What is Hopsworks?
Hopsworks is an all-encompassing open-source platform that streamlines the development and management of scalable Machine Learning (ML) pipelines, and it includes the first-ever Feature Store specifically designed for ML. Users can seamlessly move from data analysis and model development in Python, using tools like Jupyter notebooks and conda, to executing fully functional, production-grade ML pipelines without having to understand the complexities of managing a Kubernetes cluster. The platform supports data ingestion from diverse sources, whether they are located in the cloud, on-premises, within IoT networks, or are part of your Industry 4.0 projects. You can choose to deploy Hopsworks on your own infrastructure or through your preferred cloud service provider, ensuring a uniform user experience whether in the cloud or in a highly secure air-gapped environment. Additionally, Hopsworks offers the ability to set up personalized alerts for various events that occur during the ingestion process, which helps to optimize your workflow. This functionality makes Hopsworks an excellent option for teams aiming to enhance their ML operations while retaining oversight of their data environments, ultimately contributing to more efficient and effective machine learning practices. Furthermore, the platform's user-friendly interface and extensive customization options allow teams to tailor their ML strategies to meet specific needs and objectives.
Integrations Supported
Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Integrations Supported
Amazon EC2
Amazon Web Services (AWS)
IBM watsonx.data
Onehouse
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$1 per month
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Siemens
Date Founded
1847
Company Location
Germany
Company Website
www.siemens.com/en-us/products/rapidminer/slc/
Company Facts
Organization Name
Logical Clocks
Date Founded
2016
Company Location
Sweden
Company Website
www.logicalclocks.com/hopsworks
Categories and Features
Data Analysis
Not specified
Data Mining
Not specified
Machine Learning
Not specified
Predictive Analytics
Not specified
Categories and Features
Artificial Intelligence
For Healthcare
For eCommerce
Predictive Analytics
Process/Workflow Automation
Big Data
Collaboration
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Templates
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Regression Analysis
Data Management
Customer Data
Data Analysis
Data Integration
Data Migration
Data Quality Control
Data Security
Master Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization