Migrate MongoDB to Azure DocumentDB
Modernize MongoDB workloads with Azure DocumentDB. We assess your existing environment, validate compatibility, and manage migration and cutover to minimize disruption while you move to Azure.
Migration scenarios
Wherever your MongoDB workloads run today, they land on Azure DocumentDB.
MongoDB on-premises
Move self-managed MongoDB workloads from your datacenter to Azure DocumentDB, reducing infrastructure dependencies and establishing a modern database foundation on Azure.
MongoDB on Azure VMs
Modernize MongoDB workloads already running on Azure VMs by moving the database layer to Azure DocumentDB while preserving application continuity through migration and validation.
Managed MongoDB, including Atlas
Move managed MongoDB workloads, including MongoDB Atlas, to Azure DocumentDB with online or offline migration options based on application availability and cutover requirements.
End-to-end migration lifecycle
Pre-migration assessment
Assess MongoDB compatibility, workload characteristics, dependencies, and migration readiness.
Migrate schema
Recreate collections, indexes, and sharding configuration for Azure DocumentDB.
Migrate application logic
Address MongoDB Query Language and application compatibility requirements.
Migrate data
Move MongoDB data using an online or offline migration approach based on availability requirements.
Post-migration validation
Validate document counts, data consistency, indexes, and application functionality.
Performance testing
Validate workload performance and optimize Azure DocumentDB configuration.
Why migrate
Faster time to cloud
Automated workflows across all six phases cut delivery from months to weeks.
Confidence in every migration
Pre- and post-migration validation plus performance testing catch issues before production.
Full visibility, zero surprises
Real-time dashboards and migration history surface risks and bottlenecks instantly.
Tailored to your workload
Workflows adapt to source platform, schema complexity, and cloud architecture requirements.
Repeatable and governed
Standardized workflows ensure consistency, traceability, and collaboration across every project.
AI-ready on arrival
Land on a platform with native vector search, semantic indexing, and Copilot support from day one.
Why MAQ Software
Automates workflows across all six phases, and is available on Azure Marketplace.
Pre- and post-migration validation and performance testing in every engagement.
1,800 engineers delivering on the Microsoft stack, continuously since 2001.
A Microsoft Solutions Partner for Data & AI, with 5,000+ certifications behind it.
Engagement steps
Assessment
No costAssess your MongoDB environment, compatibility, and dependencies, and recommend an online or offline migration approach, with a clear analysis to inform your decision.
1–3 weeksPilot migration
No costMigrate a representative workload to validate compatibility, data consistency, and performance, then build a detailed plan and cost estimate for the full transition.
4 weeksMigration
Migrate remaining databases in phases, with validation and a planned cutover for each, and ongoing performance monitoring.
Depends on volumeOptimization and handover
Tune Azure DocumentDB performance after cutover, and prepare your team to operate and govern the new environment.
After cutoverTalk to our team about your MongoDB environment, migration approach, and cutover requirements.
Migration FAQs
Which MongoDB sources can you migrate?
Self-managed MongoDB in your datacenter, MongoDB running on Azure VMs, and managed MongoDB services, including MongoDB Atlas, which Microsoft identifies as a supported migration source.
Should we choose an online or offline migration?
Online migration keeps the source available while data syncs, so cutover is brief. Offline migration is simpler but needs a downtime window. The assessment recommends one based on your application availability and cutover requirements.
Will our applications need code changes?
Azure DocumentDB is MongoDB compatible, so applications keep using MongoDB drivers and tools. The assessment flags any query or feature compatibility gaps, and the application logic phase addresses them before data moves.
How do you confirm the migration is correct?
Post-migration validation checks document counts, data consistency, indexes, and application functionality. Performance testing then validates the workload and tunes the Azure DocumentDB configuration before production.
What is the Unified Database Migration Tool?
Our migration accelerator, available on Azure Marketplace. It runs standardized, automated workflows across all six lifecycle phases, with dashboards and migration history to track progress.
