PARTNER
TitanBases is a Vietnam-based MongoDB Advanced Partner helping organizations design, modernize and operate MongoDB platforms for production applications, operational data and AI workloads.
ENGINEERING FOCUS
SYSTEM CONTEXT
TitanBases engineers MongoDB as part of the broader application and data architecture, connecting operational data with applications, cloud infrastructure, search, AI and production operations.
Discuss this workMONGODB ADVANCED PARTNER
TitanBases is a Vietnam-based technology solutions and engineering company and MongoDB Advanced Partner, helping organizations design, modernize and operate MongoDB platforms for production applications, operational data and AI workloads.
PARTNERSHIP
TitanBases works with MongoDB as part of our Data Platforms practice, connecting database architecture with applications, cloud infrastructure, search, AI and production operations. Our work focuses on the engineering decisions around MongoDB workloads: data models and access patterns, platform architecture, modernization, availability, scalability, integration and operational readiness.
ENGINEERING CAPABILITIES
Design Atlas environments around application access patterns, availability, security, scalability and operational requirements.
Design data models, access patterns and application integration around real production behavior.
Assess and migrate legacy or fragmented database workloads toward modern MongoDB architectures.
Engineer search and vector retrieval foundations for application search, knowledge systems and AI workloads.
Design for availability, backup, recovery, observability and operational ownership across production MongoDB environments.
MONGODB ATLAS
MongoDB modernization is more than a database migration. TitanBases evaluates workload behavior, data models, application dependencies, integration boundaries and production requirements before defining the target architecture.
The target platform is designed around application access patterns, scalability, availability, security and operational requirements, with MongoDB Atlas connected to the broader application and cloud environment.
AI-READY DATA
Modern AI applications depend on reliable access to enterprise and application data. TitanBases designs MongoDB architectures that connect operational data, search and vector retrieval with AI applications and application services.
Build application search experiences over operational and enterprise data.
Design vector retrieval foundations for semantic search, knowledge access and AI applications.
Connect retrieval pipelines with enterprise knowledge and application data to support grounded AI experiences.
Connect MongoDB data and retrieval capabilities with AI models, APIs and application services.
ENGINEERING APPROACH
TitanBases approaches MongoDB engagements around the workload and its production requirements, connecting data architecture, applications, infrastructure and operations throughout the delivery lifecycle.
Understand workloads, existing architecture, access patterns, dependencies and operational constraints.
Define data models, platform architecture, security, resilience and integration patterns.
Migrate or evolve workloads through controlled implementation and integration with existing systems.
Test performance, availability, data behavior and operational readiness against workload requirements.
Introduce the target architecture through controlled migration and production release processes.
Establish observability, operational ownership and continuous platform improvement.
CONNECTED ENGINEERING
MongoDB workloads connect with application infrastructure, AI systems and engineering operations. Explore the TitanBases capabilities that support the broader production architecture.
Operational data architecture, modernization, search and data integration for production applications.
Enterprise AI applications, RAG, agents and workflows connected to trusted data.
Cloud foundations, resilience and infrastructure supporting production data workloads.
Delivery automation, observability and operational foundations for engineering teams.
MONGODB ENGINEERING
Talk to TitanBases about MongoDB Atlas, application data architecture, modernization, search and AI-ready data workloads.
