High-Velocity NoSQL
for Semi-Structured Data at Scale

We help enterprises design and run secure, performant MongoDB clusters for real-time applications.

Improper schema design or unmonitored clusters cause query slowdowns, ballooning costs, and data inconsistencies.

Our Approach

Schema Modeling

Build document models tuned for access patterns and growth.

Sharding & Scaling

Configure sharded clusters and workload isolation.

Security Controls

Enable role-based access, auditing, and encryption.

Automation

Integrate CI/CD and monitoring for continuous health.

Key Differentiators

Atlas Expertise

Optimize hosted MongoDB environments for cost and speed.

Aggregation Mastery

Build efficient pipelines to reduce compute overhead.

Hybrid Integrations

Combine MongoDB with relational or streaming platforms.

Disaster Recovery Ready

Tested backups and failover strategies.

Expert Resources at INT.

A 30+ MongoDB team building and maintaining secure, scalable NoSQL systems.

  • MongoDB-certified developers skilled in schema design and aggregation
  • Database administrators managing sharding, scaling, and backups
  • Security specialists enabling RBAC, encryption, and auditing
  • DevOps engineers automating deployments on Atlas and hybrid environments
case study

Re-architected a global MongoDB system for a high-traffic application in a Financial organizationb

Featured

55%

improvement in read/write throughput

43%

drop in operational incidents within three months
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