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Average Ratings 0 Ratings
Description
The quickest method for incorporating Analytics into your application is through a seamless integration process that is simple to customize and budget-friendly. You can connect to and model various leading data sources, enabling you to extract relevant information and design models that align with your business needs. By querying and visualizing this data, you can combine multiple models to generate impactful analytics and present insights in diverse formats, including dynamic dashboards. Furthermore, you can deploy and scale your analytics solution across any infrastructure, whether on-premise, in the cloud, or a hybrid setup, all while ensuring top-tier security and maintaining performance standards. This approach allows software developers to transform application data into valuable analytics and discover new revenue opportunities, while business users can independently create operational reports and data visualizations without relying on IT support. Additionally, data explorers can build adaptable data models and craft integrated analytics visualizations, enhancing the overall data utilization experience. Ultimately, this comprehensive analytics solution empowers users at every level to harness data effectively.
Description
Rapidminer is a Siemens enterprise analytics and AI platform designed to help organizations connect fragmented data, build trusted models, and scale intelligent automation. It brings together data preparation, machine learning, knowledge graphs, generative AI, and AI agents in one portfolio. Businesses can use Rapidminer to break down data silos, unlock information trapped in documents, and add business context to analytics workflows. The platform supports users who want to modernize legacy systems while continuing to run existing SAS language programs. Rapidminer also includes visual tools for data science, allowing teams to design explainable machine learning models through drag-and-drop workflows. Its self-service data preparation features help users cleanse and transform data from PDFs, spreadsheets, databases, and cloud sources without coding. Real-time visualization and streaming analytics tools help organizations monitor fast-moving data and create interactive analytic applications. Rapidminer Graph Studio adds a semantic knowledge graph foundation that supports contextual reasoning and agentic AI. By combining automation, explainability, and enterprise-ready governance, Rapidminer helps companies turn data into stronger decisions and faster innovation.
API Access
Has API
API Access
Has API
Integrations
Axon Ivy
Azure Marketplace
Datalytics
MeaningCloud
RapidProM
Rapidminer AI Studio
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Rapidminer SLC
Integrations
Axon Ivy
Azure Marketplace
Datalytics
MeaningCloud
RapidProM
Rapidminer AI Studio
Rapidminer Knowledge Studio
Rapidminer Monarch
Rapidminer Panopticon
Rapidminer SLC
Pricing Details
$599 / mo
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
InAppBI
Country
United States
Website
www.inappbi.com/index.html
Vendor Details
Company Name
Siemens
Founded
1847
Country
Germany
Website
www.siemens.com/en-us/products/rapidminer/
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Product 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
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization