AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

2026

All

Challenges

Discover how AiSensy saved $114k annually and improved query performance by 95% by migrating 9.6TB of data from MongoDB Atlas to Amazon DocumentDB with Mydbops.

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Our Solutions

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Key Benefits

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Recent Works

AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Swiggy Achieves 43% Cost Savings with AWS DMS and Amazon RDS

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AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

CASE STUDY

AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Learn how AiSensy, a WhatsApp solutions provider, reduced document database costs by migrating to Amazon DocumentDB.

Key Outcomes

9.6 TB

Data Seamlessly Handled

Across 6 critical clusters with proven scalability

95%

Faster Query Performance

By eliminating latency and optimizing key queries

73%

Cost Efficiency

From an optimized, AWS-native architecture

100%

Platform Stability

With zero data loss or post-migration incidents

AiSensy is an official WhatsApp Business Solutions Partner, trusted by over 100,000 businesses to 3X their revenue on the platform. Their complete suite of tools empowers businesses to acquire customers with Click-to-WhatsApp Ads, retarget users with automated broadcasts, and deliver instant, scalable support through multi-human live chat and intelligent AI Chatbots. As a globally recognized Meta Partner of the Year, they are a definitive leader in the WhatsApp ecosystem.

Business Challenges

AiSensy's rapid growth was putting immense pressure on its MongoDB Atlas infrastructure. The platform faced several critical obstacles that threatened scalability, performance, and financial efficiency.

Migration Complexity: Executing a large-scale database migration from MongoDB Atlas without disrupting 24/7 business operations
Massive Data Volume: Handling multiple terabytes of data securely and efficiently during migration
Spiraling Costs: Atlas cluster scaling, storage, and backup costs were escalating rapidly
Performance Bottlenecks: Significant latency under high workloads requiring constant performance tuning

Goals

The key objectives the client was aiming to achieve:

Migrate to AWS: Execute a flawless, zero-data-loss migration from MongoDB Atlas to Amazon DocumentDB
Unlock Capital for Growth: Free up significant annual capital to reinvest directly into product development and ARR growth
Accelerate Product Velocity: Empower engineers to ship features faster on a stable, high-performance platform
Minimize Downtime: Ensure the cutover was completed with less than 30 minutes of application downtime

Solution Provided by Mydbops

Mydbops delivered a comprehensive, end-to-end migration from MongoDB Atlas to Amazon DocumentDB. The project was meticulously planned to handle the immense size of the data—9.6 TB across 6 core clusters—and deliver significant cost benefits.

Terabyte-Scale Migration Planning

Mydbops began with a deep-dive analysis of the existing Atlas environment. This informed a detailed migration plan using AWS DMS for a full load and continuous data capture (CDC), ensuring an online migration that could handle the massive data volume while minimizing downtime.

Seamless Execution & Data Handling

The migration was executed flawlessly. Mydbops provisioned the new Amazon DocumentDB environment and, using AWS DMS, migrated the 9.6 TB of data with high fidelity. The final cutover was executed with under 30 minutes of application downtime, a critical success for a high-availability platform like AiSensy.

Post-Migration Cost & Performance Optimization

Following the migration, the team focused on validating data integrity and optimizing the new environment for cost and performance. This included fine-tuning indexes, rewriting slow query patterns, and configuring Amazon CloudWatch dashboards for deep operational visibility.

Database Cost Optimization for ARR Growth

~$156k / yr

MongoDB Atlas

~$42k / yr

Amazon DocumentDB

~$114,000

Annual Capital Unlocked to Fuel Product & ARR Growth

↓ 73%

Annual Cost Reduction

Results & Impact

Successful Migration of 9.6 TB

The core objective was met, with all data securely and accurately migrated to the new platform with near-zero downtime.
~$114,000 in Annual Capital Unlocked

By transforming their database infrastructure, AiSensy unlocked over six figures in annual savings. This capital is now available to be directly reinvested into product development, marketing, and other key initiatives that fuel ARR growth.
100% Platform Stability

The migration was completed with zero data loss or corruption, and there have been no production incidents since the cutover.
Increased Engineering Velocity & Reduced Business Risk

With a stable and performant platform, the engineering team was freed from reactive firefighting, allowing them to focus proactively on innovation. The elimination of post-migration incidents de-risked their operations and protected their revenue streams.

AWS Services Used

Amazon DocumentDB

Amazon DocumentDB is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure.

AWS Database Migration Service

AWS Database Migration Service provides a seamless migration to AWS databases with minimal downtime. It supports continuous replication and automated schema conversion.

Amazon CloudWatch

Amazon CloudWatch provides real-time monitoring for AWS resources and applications. It collects and tracks metrics, monitors log files, and sets alarms.

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AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Download Detailed Case Study

Client Overview

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Deployment Type

Database Stack

Outcome

Deployment Type

Database Stack

Outcome

Business Challenges

Overview

Business Challenges

Overview

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A brief context of the client’s operations and the challenges they were facing. Focus on business-critical pain points such as performance issues, high cost, downtime, etc.

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A brief context of the client’s operations and the challenges they were facing. Focus on business-critical pain points such as performance issues, high cost, downtime, etc.

‼️

A brief context of the client’s operations and the challenges they were facing. Focus on business-critical pain points such as performance issues, high cost, downtime, etc.

Goals

The key objectives the client was aiming to achieve:

Risks if Not Addressed

If left unresolved, these challenges posed serious risks

Risks & Impact if Not Addressed

Performance Issues

Without resolving replication lag and fragmented tables, query performance would continue to degrade, leading to a frustrating customer experience during peak hours.

Business Continuity Risks

Non-standardized backup policies increased the risk of data loss and prolonged outages, potentially disrupting thousands of orders in real-time.

Revenue Loss

Poor performance and downtime during peak times directly impacted Swiggy’s ability to fulfill customer demand, resulting in lost revenue and dissatisfied users.

Escalating Costs

Continued reliance on oversized, under-optimized infrastructure would lead to unnecessary monthly spend, straining the company’s profitability.

Developer Inefficiency

Lack of a stable and scalable database foundation meant developers spent significant time firefighting performance issues instead of innovating on features.

Performance Issues: Replication lag and fragmentation slow order searches and transactions.
Business Continuity Risks: Non-standardized backups mean longer recovery times and higher data-loss risk.
Revenue Loss: Slow page loads or timeouts during peak hours lead to failed checkouts.
Escalating Costs: Over provisioned, under-optimized servers strain profitability
Developer Inefficiency: Engineers spend more time firefighting than building new features

Goals

The key objectives the client was aiming to achieve:

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Solution Provided by Mydbops

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Our Engagement

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Implementation Strategy

Results and Impact

Key Outcomes

Results and Impact

Key Outcomes

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A brief context of the client’s operations and the challenges they were facing. Focus on business-critical pain points such as performance issues, high cost, downtime, etc.

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A brief context of the client’s operations and the challenges they were facing. Focus on business-critical pain points such as performance issues, high cost, downtime, etc.

✅

A brief context of the client’s operations and the challenges they were facing. Focus on business-critical pain points such as performance issues, high cost, downtime, etc.

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AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Services Delivered

Technologies Used

Extraordinary Results Delivered

Optimized Performance

Cost Efficiency

Proactive Reliability

Seamless Scaling

AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Challenges

Discover how AiSensy saved $114k annually and improved query performance by 95% by migrating 9.6TB of data from MongoDB Atlas to Amazon DocumentDB with Mydbops.

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Our Solutions

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Key Benefits

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Recent Works

AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Swiggy Achieves 43% Cost Savings with AWS DMS and Amazon RDS

Need Expert Database Solutions?

AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Key Outcomes

Business Challenges

Goals

Solution Provided by Mydbops

Terabyte-Scale Migration Planning

Seamless Execution & Data Handling

Post-Migration Cost & Performance Optimization

Database Cost Optimization for ARR Growth

Results & Impact

Successful Migration of 9.6 TB

~$114,000 in Annual Capital Unlocked

100% Platform Stability

Increased Engineering Velocity & Reduced Business Risk

AWS Services Used

Amazon DocumentDB

AWS Database Migration Service

Amazon CloudWatch

Ready to Transform Your Database Infrastructure?

AiSensy Case Study: Migrating from MongoDB Atlas to Amazon DocumentDB

Client Overview

Business Challenges

Business Challenges

Risks & Impact if Not Addressed

Performance Issues

Business Continuity Risks

Revenue Loss

Escalating Costs

Developer Inefficiency

Solution Provided by Mydbops

Solution Provided by Mydbops

Results and Impact

Results and Impact

Need Expert Database Solutions?