Exafluence Announces Global Strategic Partnership with MongoDB to Modernize Legacy Applications in Finance and Healthcare

Exafluence, an award-winning system innovator that helps clients migrate to the cloud, announced a new partnership with MongoDB, the leading modern general-purpose database platform. The partnership simplifies digital transformation by offering modernization accelerators to the finance and healthcare sectors using MongoDB Atlas, the company’s global cloud database.

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“As organizations look to modernize their applications and move to the cloud, they gravitate to MongoDB because of our flexible document data model,” said Alan Chhabra, Senior Vice President, Worldwide Partners, MongoDB. “Exafluence’s accelerators allow clients to mine the IP in legacy systems through reverse engineering, and then reconcile databases moved to MongoDB.  Other Exafluence tools, like analytical dashboards, FHIR/HL-7 API support and low code/codeless transformation rules and catalog, accelerate client modernization processes while also reducing cost and risk.”

Along with modernization, Exafluences’s native integration with MongoDB not only provides the latest ready-to-deploy Natural Language Processing, Machine Learning and Artificial Intelligence capabilities on MongoDB’s mobile Realm and Atlas cloud platforms, Exafluence’s agile DataOps capabilities improve the data supply chain pipeline with a focus on data quality and improved governance.

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The partnership provides:

Simplified Migration: exf Insights speeds legacy modernization by focusing on both the legacy application and its data.  Reverse Engineering tools are provided to convert legacy databases to MongoDB Atlas.

Business Analyst Automation:  exf Insights allows clients to leverage metadata alignment recommendations to create a low code/codeless transformation rules catalog that is versioned, provides lineage and offers rollback capabilities with full audit trail inclusive of a compare feature.  Insights can publish rules as Python or JSON code blocks as well as create gold copies following a source to target approach.

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