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Evolve Your Data Models as You Modernize with Hackolade and Relational Migrator

Blog post from MongoDB

Post Details
Company
Date Published
Author
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Word Count
3,419
Language
English
Hacker News Points
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Summary

Application modernization is increasingly essential as developers and database administrators encounter limitations with legacy relational databases in incorporating emerging technologies like generative AI and edge devices. MongoDB Atlas offers a flexible document model and integrated data services, but migrations can be daunting; however, MongoDB Relational Migrator simplifies key migration tasks, allowing teams to design a MongoDB schema, migrate and transform data, and modernize app code. As organizations scale their MongoDB usage, managing and evolving data models becomes a critical challenge, requiring effective collaboration across teams, which is facilitated by Hackolade Studio’s visual data modeling capabilities. Meanwhile, VISO TRUST leverages MongoDB to enhance their AI-powered cyber risk platform, utilizing Atlas Vector Search for dense and sparse retrievals, and implementing new technologies to improve data extraction and question-answering capabilities. Additionally, MongoDB is experiencing a leadership transition with CJ Desai set to succeed Dev Ittycheria as CEO, a move aimed at guiding MongoDB into its next phase of growth, capitalizing on the company’s strengths in AI and data-intensive applications.