Cosmos DB Migration

A precise tool for developers and data engineers to plan and perform Cosmos DB migrations, with validation and risk checks to ensure data integrity.

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About This Tool

The Cosmos DB Migration Tool provides a structured workflow to plan, validate, and execute data migrations into Cosmos DB. It targets data engineers, DBAs, and developers migrating from on-premises systems or other cloud stores to Cosmos DB, in single-region or multi-region deployments.
Conceptually, the tool profiles source data, derives a mapping between source schemas and Cosmos DB containers, applies type coercion rules, and builds a migration plan. It can perform full migrations or incremental transfers, verifying counts and data integrity before, during, and after transfer.
Core features include schema discovery, data profiling, transformation rules, validation checks, audit logging, and rollback support. It supports different Cosmos DB APIs, parallel data transfer, and configurable retry strategies to handle transient failures.
Use cases include upgrading from legacy databases, cross-region replication, and staging migrations for iterative releases. The tool reduces downtime, improves data quality, and provides detailed reports to support audits and compliance.

How to Use

  1. Provide inputs: supply source and target accounts, APIs, regions, and the migration scope.
  2. Configure mapping and validation: define schema mappings, type rules, and validation policies.
  3. Run discovery: profile source data and detect schema differences to generate the migration plan.
  4. Execute migration: run full or incremental transfers with monitoring and automatic retries as needed.
  5. Validate and audit: run post-migration checks, review validation reports, and export an audit bundle.
How to use cosmos db data migration tool

Frequently Asked Questions

Find Quick Answers

What environments can it migrate from?
It supports migrations from on-premises deployments or other cloud databases into Cosmos DB, including cross-region scenarios. API compatibility (SQL, Mongo, Cassandra, Gremlin) influences allowed source formats and transformation rules.
How is data integrity ensured?
Integrity is enforced via schema validation, row-count checks, key integrity verification, and delta verification between source and target after migration. Reconciliation reports highlight any mismatches for remediation.
Can it perform incremental migrations?
Yes. The tool supports incremental transfers based on timestamps, versioning, or change-tracking, allowing ongoing synchronization with minimal downtime and conflict handling.
What about rollback?
A rollback plan is generated when possible, with reversible steps or audit-based rollback. If source/target capabilities permit, the tool can revert changes or flag items requiring manual remediation.

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