MS SQL → MongoDB in One Shot: Code, Schema & Data with ARPA

Replatforming a MS SQL Server database to MongoDB usually takes months - code rewrites, schema redesign, and data migration all running on different timelines. In this demo, we do it ALL in one motion, autonomously, with ARPA. ARPA (Agentic Re-Platform Accelerator) by Adiom is an agent-led workflow that unifies the three workstreams that normally derail a database migration: → Code refactoring of the Data Access Layer → Schema redesign with empirical validation against real query patterns → Data migration with minimum downtime, powered by Dsync Domain experts stay in control through clear architectural documentation at every phase - no manual line-by-line code review, no out-of-sync data cutovers, no risky big-bang merges. 🔗 Try ARPA (private preview): https://www.adiom.io/contact ⏱ Chapters 00:00 Introduction 00:52 SQL Server application 01:22 ARPA overview 02:00 Discovery 03:42 DAL refactoring 04:11 Migration assessment 04:57 Schema design 06:25 New Data Access Layer plan 09:47 New DAL implementation 10:48 Asking the Agent to fix a discrepancy 12:39 Prepare Dsync configuration 15:38 Working application now on top of MongoDB 16:37 Live migration with Dsync Common scenarios ARPA handles: • MS SQL → Cosmos DB or MongoDB • PostgreSQL / Supabase → MongoDB • DynamoDB → MongoDB or Cosmos DB Who this is for: CTOs, platform leads, and data architects modernizing legacy relational workloads to cloud-native document databases - without burning a year of engineering capacity. #MongoDB #MSSQL #DatabaseMigration #Replatform #AgenticAI #CloudMigration #Adiom #ARPA