Myddleware

Myddleware is a data integration tool that aims to meet the needs of small to large companies. According to the vendor, it offers a scalable solution that leverages the power of open source to handle complex data integration operations.

Key Features

Scalable: Myddleware is designed to be scalable, accommodating the needs of various company sizes. The vendor claims that it can handle complex data integration operations and provides a free solution that utilizes open source technology.

Powerful: The vendor states that Myddleware allows users to perform complex data integration operations without the need for coding. It offers features such as data merging, linking, queue management, and near real-time synchronization.

Automated: Myddleware claims to seamlessly integrate with other applications, automating data integration processes to increase productivity. It can automate tasks like data merging, linking, and synchronization, providing an automated solution for data integration needs.

Unlimited access to any data unit within your apps: According to the vendor, Myddleware provides unlimited access to the data contained in various applications. This allows users to transform, migrate, and sync modules, objects, and fields between different apps, including the transfer of data and relationships.

Complex data operations without coding: The vendor claims that Myddleware simplifies complex data integration tasks by allowing users to migrate and sync entire data models between applications without the need for coding. It can handle the transfer of data units and their relationships.

Advanced queue management: Myddleware includes advanced queue management capabilities, according to the vendor. It can detect errors during data integration operations and block ongoing processes until the integration rules are amended. This feature aims to ensure data integrity and prevent data corruption caused by errors in the integration process.

Transfer data from the past: Myddleware allows users to access and transfer past data using a reference date, as stated by the vendor. Users can apply new integration rules to past data items and migrate or sync them between applications, similar to more recent data.