COMMON SCENARIOS
Replatform from legacy to cloud-native databases
ARPA handles the database transitions enterprise teams hit most often.
MS SQL Server to Cosmos DB or MongoDB
Move relational workloads to document or multi-model cloud databases without months of refactoring.
PostgreSQL / Supabase to MongoDB Atlas
Reshape your schemas and DAL to match the way your application actually queries the data.
DynamoDB to MongoDB Atlas or Cosmos DB
Escape vendor lock-in and unlock richer query capabilities with a fully validated migration path.
WITH VS WITHOUT ARPA
Replatforming, but without the chaos
Code migration, schema design, and data movement aren't three separate projects. ARPA orchestrates them as one.
With ARPA
✔
Agent-led autonomous workflow that Domain Experts can operate
✔
Control and audit the process via clear, high-impact architectural documentation
✔
Risk-minimization strategy built into the process
✔
Seamless data migration with minimum downtime, powered by Dsync
Without ARPA
✘
Bottleneck on domain expertise and engineering resources
✘
Risky code changes requiring manual code review and merge
✘
Difficult coordination of workstreams between code and data migration
✘
Data migration out of sync with schema changes
ARPA METHODOLOGY
Six structured phases, fully agent-driven
Each phase produces reviewable artifacts - so domain experts stay in control without writing every line of code.
01
Discovery
Map the existing application surface, data flows, and access patterns.
04
Schema Design
Empirically validated schemas - designed against real query patterns.
02
DAL Isolation & Tests
Carve out the Data Access Layer and lock current behavior with tests.
05
New Parallel DAL
Implement the new DAL alongside the legacy one for safe cutover.
03
Migration Assessment
Identify gaps, risks, and the right cloud target for the workload.
06
Data Migration
Move the data with Dsync, in sync with code, and minimum downtime.
ILLUSTRATED
Switch the codebase and the database - together
One coordinated cutover instead of two disconnected workstreams.
BEFORE
AFTER
Legacy Application Code
Refactored Application Code
Spaghetti Data Access Layer
Legacy Database (MS SQL / Postgres / Dynamo)
New Parallel DAL (Document-native)
Cloud Database (MongoDB / Cosmos DB)
SEE IT IN ACTION
A complete replatform - recorded end-to-end
Walk through how ARPA discovers, refactors, validates, and migrates a real workload from MS SQL Server to MongoDB.