In addition, complex local installations and updates are no longer necessary, as these are carried out centrally in the cloud. In terms of security, cloud solutions offer the highest standards, as data is stored in highly secure data centers that ensure comprehensive security measures, including regular backups and protection against cyberattacks. This allows companies to benefit from an IT infrastructure that is always up to date and protected, without having to worry about security and maintenance issues themselves.

For mERP, we offer a variety of hosting solutions that can be flexibly adapted to the requirements and growth of your company. Our more affordable options start with a so-called shared server, where multiple systems run on the same virtual machine. For customers who need higher performance and security, we offer dedicated servers where a virtual machine is provided exclusively for your company.For more demanding requirements, we provide comprehensive solutions with various virtual machines and synchronized databases. This architecture allows us to dynamically scale the system’s capacity, which is especially beneficial as your company grows. The most advanced solutions today use technologies like Kubernetes as a foundation. This means that server capacity can be increased automatically and dynamically depending on the load, so your systems always run optimally.A proven practice is the separation of so-called “jobs”—such as generating monthly invoices from thousands of delivery notes—from regular data entry in the ERP system. These jobs are executed on a separate server, ensuring that users experience no waiting times and that system performance remains unaffected.If you choose to use our Business Intelligence module, we recommend implementing a replica server. This form of setup separates the Business Intelligence processes from regular data entry, thus ensuring optimal performance, especially when handling data-intensive analyses and reports.With these flexible and scalable hosting solutions, we ensure that your ERP system can grow with your business without compromising performance or user experience. As you can see, we are well-prepared to support your company step-by-step through its growth process—or to start right away with a comprehensive solution. We are happy to analyze your current and future needs with you. Incidentally, that’s also one of mERP’s strengths.

Limendo provides services based primarily on Microsoft Azure and Open Source technologies for a holistic, scalable data architecture that integrates, cleans, analyzes, and visualizes data from diverse sources.

This foundation is built upon three pillars: Data Platform, Machine Learning & ML Ops, and Reporting & BI.

 1. Data Platform – The Foundation of Your Data Strategy

Limendo utilizes Git-based Release Management with a centralized module repository to ensure version control and reliable deployment..

Containerization & Orchestration
Kubernetes provides a scalable and highly available data infrastructure that can be operated both On-Premises and in the Cloud.

Data Persistence & Storage
mERP BI is a configurable analytical platform (available only in conjunction with mERP).
Data Lake for centralized raw data storage—flexible and extensible.
Data Warehouse for structured, refined analytical datasets.
ACID-Compliant Storage ensures data integrity and reliability across all systems.

Data Integration & Streaming
Apache Kafka enables real-time data streams from ERP, CRM, Production, or E-commerce platforms.
Apache Pinot provides Real-Time OLAP (Online Analytical Processing) analysis—ideal for operational decision-making.
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ETL & Workflow Orchestration
Airbyte is an open-source connector for broad data integration needs.
Dagster and Apache Airflow manage complex data pipelines and automate end-to-end data workflows.

This creates a powerful backbone that provides all enterprise data in a consistent, secure, and scalable format—the foundation for all modern analytics and AI applications.

2. Machine Learning & ML Ops – Intelligent Analytics and Automation

Data alone does not create value—it only becomes actionable knowledge through intelligent models. Limendo combines classic Machine Learning techniques with modern Deep Learning and Generative AI approaches to deliver measurable competitive advantages to enterprises.

Classic Machine Learning
Random Forest for robust, interpretable modelling.
XGBoost for high-performance Gradient Boosting analyses (e.g., sales or maintenance forecasts).

Deep Learning & Neural Networks
TensorFlow & PyTorch enable scalable neural networks for image, text, or time-series data.
Ideal for applications such as Predictive Maintenance, automated quality control, or advanced forecasting.

Generative AI & LLMs
OpenAI (GenAI) and LoLA (locally runnable Open Source Language Models) extend existing systems with text generation, automation, and knowledge management capabilities.

Limendo integrates these technologies with practical experience in Data Science and MLOps (Machine Learning Operations)—covering the entire lifecycle from model development to productive operation.

3. Reporting & Business Intelligence – Making Data Visible

Analyses only become effective when they are clearly and comprehensibly visualized. Limendo integrates advanced BI and analytics solutions that provide key metrics to executives and teams in real-time.

Visualization & Dashboards
Microsoft Power BI for interactive reports, real-time dashboards, and mobile visualization.
Custom Dashboards with role-based views—tailored for Management, Sales, or Production teams.

Data Modelling & Analysis
OLAP Cubes / Star Schema for structured analytical processing.
DAX Modelling for in-depth KPI calculations and scenario planning.

High-Performance Analytics
ClickHouse enables lightning-fast queries on millions of datasets.
Apache Pinot delivers real-time analytics from streaming data—perfect for immediate operational decisions.

This transforms data into insight—and insight into measurable business success.