https://catalogartifact.azureedge.net/publicartifacts/maqsoftware.gremlin_to_cassandra_migration-efd13557-83fb-479e-a06c-dba3789b09ac/1fb5554f-15ef-4a55-9d3f-49b9d4654908_Logo.png

Gremlin API (Azure Cosmos DB) to Azure Managed Instance for Apache Cassandra using JanusGraph - 8 Weeks Implementation

MAQ Software

Fast, validated migration of Gremlin graph data from Cosmos DB to Cassandra MI using JanusGraph, with preserved relationships and reduced risk.

MAQ Software delivers a secure, end‑to‑end migration of Azure Cosmos DB for Apache Gremlin graph data to Azure Managed Instance for Apache Cassandra using JanusGraph, ensuring preserved vertices, edges, and relationships—optimized for performance, reliability, and reduced migration risk.


Objective

Migrate Gremlin graph workloads from Azure Cosmos DB Gremlin API to Azure Managed Instance for Apache Cassandra, ensuring data integrity, validated outcomes, and minimal disruption.


Target Audience

  • Database Administrators (DBAs)
  • Cloud & Infrastructure Architects
  • Application Owners
  • IT Operations & Platform Teams
  • Enterprise Migration & Modernization Teams

Agenda & Deliverables

Week 1–2: Migration Strategy & Readiness Assessment

  • Analyze current Gremlin graph environment
  • Identify graph‑level and database‑level migration scope
  • Define success criteria, downtime expectations, and migration goals

Week 3: Environment & Connectivity Validation

  • Deploy migration environment with ARM templates
  • Provision Azure VM and install JanusGraph
  • Validate source Gremlin connectivity and Cassandra MI target
  • Perform automated SSL, credential, and network diagnostics

Week 4: Migration Planning & Configuration

  • Select migration mode and execution strategy
  • Configure JanusGraph for source and target environments
  • Set up parallel execution and automated batching for vertices & edges

Week 5–6: Migration Execution & Monitoring

  • Execute migration using JanusGraph
  • Real‑time monitoring of progress, performance, and batch operations
  • Capture migration logs, history, and error handling

Week 7–8: Pre‑ & Post‑Migration Validation & Optimization

  • Validate schema compatibility
  • Verify data mappings for vertex/edge properties
  • Perform vertex/edge count integrity checks
  • Review performance metrics and optimize post‑migration

Deliverables

  • Fully migrated graph databases and graph subsets
  • End‑to‑end migration strategy (graph‑level + database‑level)
  • Migration history, logs, and performance reports
  • Pre‑ and post‑migration functional validation

Benefits

  • Seamless migration with preserved vertices, edges & relationships
  • Built‑in validation, troubleshooting, and dependency checks
  • Faster migrations via parallel processing and intelligent batching
  • Full visibility into metrics, timelines, and migration history
  • Handles complex graph workloads with enhanced scalability

Prerequisites

  • Access to Azure Cosmos DB Gremlin source
  • Access to Azure Managed Instance for Apache Cassandra
  • Network connectivity between Azure components (public or private)
  • Active Azure subscription

Why MAQ Software

  • Deep expertise migrating graph workloads from Gremlin to Cassandra MI
  • Advanced migration tooling ensuring validated, scalable graph transfers
  • Full lifecycle execution: planning → migration → optimization
  • Proven enterprise‑grade delivery model with minimal downtime
  • Tailored migration strategies for complex graph workloads

Upgrade your graph workloads with confidence.
📧 Contact us at CustomerSuccess@MAQSoftware.com to schedule your migration session and modernize your graph data infrastructure.

At a glance

https://catalogartifact.azureedge.net/publicartifacts/maqsoftware.gremlin_to_cassandra_migration-efd13557-83fb-479e-a06c-dba3789b09ac/2a431a81-5b20-44eb-90d3-9226e65821ad_janus.png