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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 IBM Lift?

IBM Lift streamlines the migration of your database from on-premises solutions to an IBM Cloud® data environment, enabling a swift, secure, and reliable transition. This tool is specifically designed for hassle-free cloud migration without any downtime, allowing for a seamless transfer of your complete database to the IBM Cloud. The migration process is divided into two key phases: schema conversion and data migration. To kick off the schema conversion, you must download the IBM Database Conversion Workbench, which assists you in modifying your source database DDL to ensure it aligns with your target system's requirements. Furthermore, the workbench will produce a report that points out specific areas necessitating your attention. Once your schema is successfully configured, you can move on to the data migration using the Lift CLI. Start by generating a series of CSV files that document the incremental changes for each database table. Next, leverage the Lift CLI to gather these delimited files, securely transmit them, and import them into IBM® Db2® Warehouse on Cloud, guaranteeing a smooth and effective migration experience. By meticulously adhering to these outlined steps, you can facilitate a successful transition to the cloud while minimizing disruptions and maintaining data integrity throughout the process. With IBM Lift, you can confidently embrace the advantages of cloud technology.

Media

Media

Integrations Supported

Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon

Integrations Supported

Rapidminer
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/lift

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Categories and Features

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