Distributed Data Management

Benefit from seamless and consistent data

Keep your data up to date and available in all your systems – unrestricted and in real time. Transform your data exactly according to your requirements. Simple to complex ETL processes of any kind can be easily implemented with the Enterprise Data Platform.

Rely on scalable, effective and flexible technology

Technologies / Distributed Platform
Simple ETL
Technologies / Distributed Platform
Advanced ETL - Many Endpoints
Technologies / Distributed Platform
ETL - Data Orchestration
Technologies / Distributed Platform
Hybrid Integration - Data Orchestration
Technologies / Distributed Platform
Golden Record
Technologies / Distributed Platform
Data Enrichment

Powerful Integration Technology

Transformation Pipelines

Easily build custom transformation pipelines
In the Marini Integration Platform you can transform your data in many ways and inject it into pipelines. You can build simple to complex transformation pipelines between your systems. You can also enrich your data with external sources or create golden records.

Seamless Data

Make your data seamlessly available in all systems
A distributed integration platform provides you with seamless data management. Via the platform, you can manage that your data is available in all your systems – consistently and in real time. The platform transforms, orchestrates and routes data for you according exactly to your requirements.

Integrate over 300 systems

Cloud, hybrid, on-premises, all endpoints, uni- and bidirectional, unlimited, secure and GDPR compliant

Frequently Asked Questions

A distributed platform ensures that your data is seamlessly available and consistent across all your systems – in real time, on demand. Simple or complex transformation logics can also be implemented via the platform. These take place in an intermediate step of synchronization.

For a distributed platform, you need the DataEngine in addition to the HubEngine. The data is routed via the platform and also transformed, validated, consolidated, aggregated or enriched there. So your processes can involve both the DataEngine or run only through the HubEngine (as with the Integration Workflows).

A multitude of individual integration workflows can form a distributed platform. First, distributed platforms serve to bundle processes in your systems, their transformation logics and the routing of data. Second, the goal of a distributed platform is to make data available in all your relevant systems – in real time. Distributed platforms thus combine integration workflows with pure, non-process-driven synchronizations. Often the first step are single integration workflows, which grow in number and complexity. This usually results in a distributed platform. We speak here of the evolution of integration.

In contrast to the distributed platform, a centralized platform is not designed as a dark processing system. It is about collecting and linking the relevant customer data in one central place. This gives you a consistent and visible picture of your customer at one glance. The distributed platform makes a consistent picture in your source systems, if they are suited, possible through seamlessly available data.