AiSensy's 73% Savings: A MongoDB Atlas to DocumentDB Migration

2025

All

Challenges

Learn how Mydbops migrated AiSensy's 9.6 TB database from MongoDB Atlas to AWS DocumentDB, eliminating performance issues and slashing costs by 73%.

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.

Heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Heading

Our Solutions

Heading 1

Heading 2

Heading 3

Heading 4

Heading 5

Heading 6

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

Block quote

Ordered list

Item 1
Item 2
Item 3

Unordered list

Item A
Item B
Item C

Text link

Bold text

Emphasis

^Superscript

_Subscript

Key Benefits

Heading

Recent Works

AiSensy's 73% Savings: A MongoDB Atlas to DocumentDB Migration

Yulu's Data Breakthrough: 72% Storage Savings & Scalability with TiDB

Need Expert Database Solutions?

Talk to a Database Expert Today!

Database solutions are provided by mydbops expert team

Mydbops set up High Availability (HA) Solutions with InnoDB or Percona Clusters, ensuring continuous uptime and fault tolerance.

Thank You!

We’ve got your request, our expert team will be contacting you shortly.

Oops! Something went wrong while submitting the form.

AiSensy's 73% Savings: A MongoDB Atlas to DocumentDB Migration

Download Detailed Case Study

Client Overview

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.

↑

↓

9.6

Data Seamlessly Handled

Across 6 critical clusters with proven scalability.

↑

↓

Cost Efficiency

From an optimized, AWS-native architecture.

↑

↓

Faster Query Performance

By eliminating latency and optimizing key queries.

100

↑

↓

Platform Stability

With zero data loss or post-migration incidents.

Amazon DocumentDB

Consulting Services

⭐️⭐️⭐️⭐️⭐️

Deployment Type

Database Stack

Outcome

Cloud-Based Deployment

Amazon DocumentDB

73% Reduction in Database Costs

Deployment Type

Cloud-Based Deployment

Database Stack

Amazon DocumentDB

Outcome

73% Reduction in Database Costs

Business Challenges

Overview

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: The primary challenge was executing a large-scale database migration from MongoDB Atlas to a new platform without disrupting a 24/7 business operation.

‼️ Massive Data Volume: With datasets growing into multiple terabytes, the migration required a robust strategy to handle the sheer volume of data securely and efficiently.

‼️ Spiraling Costs: The costs associated with Atlas cluster scaling, storage, and backups were escalating, making it difficult to maintain financial predictability and efficiency. This escalating operational expense was not just a line item; it represented a significant opportunity cost, tying up capital that could have been invested in product innovation and ARR growth.

‼️Performance Bottlenecks: The application encountered significant latency under high workloads, and constant performance tuning was required to maintain a seamless user experience. These issues directly impacted the user experience and consumed valuable engineering cycles that could have been focused on developing new, revenue-generating features.

Business Challenges

Overview

‼️

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.

‼️

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:

→ 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.

Goals

The key objectives the client was aiming to achieve:

→

[Goal 1]

→

[Goal 1]

→

[Goal 1]

Solution Provided by Mydbops

▸ 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. This final step was crucial to realizing the full cost-saving potential of the new architecture.

Solution Provided by Mydbops

▶

Our Engagement

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed sit amet faucibus eros, et gravida nunc. Fusce vitae leo at felis placerat varius. Aenean mollis ligula sed ipsum elementum, ut sollicitudin libero tincidunt. Vivamus ultricies dolor sit amet orci aliquam, ac suscipit nisl posuere. Fusce id velit sed arcu fermentum scelerisque. Morbi ultricies auctor nisi id lobortis. Nam tempor tempor velit, sit amet ullamcorper ligula dapibus at.

▶

Implementation Strategy

Results and Impact

Key Outcomes

✅ 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.

Results and Impact

Key Outcomes

✅

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.

✅

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.

Let Your Engineers Build the Future, Not Fix the Plumbing

At the end of the day, the AiSensy story isn't just about migrating terabytes or cutting costs. It's about removing a roadblock that was holding a talented team back. Before, their engineers were spending valuable cycles wrestling with a database that couldn't keep up. Now, they're free to focus on what truly matters: building the features that directly grow their ARR.

‍

We know that as a technical leader, you feel that pressure. You need your infrastructure to be a silent, reliable engine for the business, not a source of constant fire-drills and budget anxiety. A migration project involving your company's most critical data can feel daunting, but it doesn't have to be your team's burden to bear.

Let us handle the complexity so you can get back to innovation.

‍

Ready to have a conversation about your database challenges?

Talk to a Migration Expert

Need Expert Database Solutions?

Talk to a Database Expert Today!

Thank You!

We’ve got your request, our expert team will be contacting you shortly.

Oops! Something went wrong while submitting the form.