MongoDB Neighborhood Version to Atlas: A Migration Masterclass With BharatPE

Launched in 2018, BharatPE is a fintech pioneer serving tens of millions of Indian retailers and small companies throughout greater than 450 cities. The corporate processes over ₹12,000 crore (about US $1.368 billion) in month-to-month Unified Funds Interface (UPI)-based transactions.

Considered one of BharatPE’s most revolutionary monetary options is India’s first interoperable UPI QR code—a scannable 2D barcode that empowers customers to make funds utilizing the UPI system in India—and a zero-MDR (Service provider Low cost Fee) fee acceptance service, which allows retailers to simply accept funds by means of the identical system with none expenses.

Behind BharatPE’s success is the power to handle excessive volumes of knowledge, keep information safety, and scale to accommodate progress and adapt to visitors peaks, all whereas retaining operational and upkeep burden low. That is all powered by MongoDB Atlas.

Sumit Malik, Head of Database Operations at BharatPE, introduced at MongoDB .native Delhi in July 2025, sharing the corporate’s transformational journey from managing a self-hosted model of MongoDB.

From Neighborhood Version to Atlas: Unlocking extra scale and lowering complexity

BharatPE’s legacy infrastructure relied on a self-hosted model of MongoDB: MongoDB Neighborhood Version. The setup included three sharded clusters, every with three nodes (one main, two secondary), dealing with BharatPE’s 45 terabytes of knowledge.

Nonetheless, self-managing this massive deployment created a number of challenges. Information was unfold inconsistently throughout clusters, which induced imbalances and scaling complexities. Sustaining the database additionally proved expensive and time-consuming for the crew.

BharatPE was additionally trying to broaden its catastrophe restoration capabilities to take away enterprise continuity and downtime dangers.

Lastly, working in a regulated business with excessive safety requirements meant that BharatPE wanted to create strong end-to-end safety and compliance.

“We would have liked a database platform that would scale seamlessly, safe our information, and decrease operational burden,” stated Malik.

After cautious consideration and due diligence, it was decided that MongoDB Atlas delivered the best resolution in opposition to BharatPE’s necessities.

A fastidiously deliberate, 5-step migration method

MongoDB’s skilled providers crew helps clients migrate from the self-managed model of MongoDB to MongoDB Atlas. The work we’ve got achieved with lots of our clients has led us to develop a methodical 5-step migration course of. This method, constructed round 5 key phases, was central to avoiding downtime and sustaining enterprise continuity all through BharaPE’s migration course of :

1. Design section: defining scope and technique – Within the preliminary section, BharatPE labored with MongoDB to put the groundwork for the migration by clearly defining its scope, timeline, sources, and dependencies. They analyzed information quantity, construction, and compatibility between the supply system (self-hosted MongoDB) and the goal system (MongoDB Atlas). “We fastidiously designed a migration technique that accounted for each potential threat and dependency inside our system,” stated Malik.
2. De-risk section: assessing and mitigating dangers – This section—a core half and worth of MongoDB’s method— targeted on figuring out and addressing potential dangers related to the migration. BharatPE validated utility compatibility with MongoDB Atlas and assessed the suitability of its driver variations. Malik shared: “Understanding compatibility challenges early on helped us get rid of surprises throughout manufacturing.”
3. Check section: validating programs in decrease environments – Earlier than touching the manufacturing setting, BharatPE performed in depth testing in a improvement setting that intently emulated its real-world setup. “We created a completely mirrored MongoDB Atlas check setting the place we built-in our current programs and validated utility sanity and compatibility,” stated Malik. Introducing a further MongoDB server allowed the crew to simulate real-world situations and guarantee readiness.
4. Migration section: information transition and safety – BharatPE used MongoDB’s mongosync instrument alongside the migration technique constructed with the MongoDB crew emigrate terabytes of knowledge securely and effectively. Making certain information privateness throughout transit was a prime precedence, and the crew adopted MongoDB’s strong encryption performance to guard delicate monetary data and guarantee compliance.
5. Validation section: confirming information integrity and optimizing efficiency – As soon as the info was moved, BharatPE carried out rigorous post-migration checks. Automated scripts had been developed to validate the integrity of the migrated information, guaranteeing it matched the unique supply with out discrepancies. Moreover, monitoring programs and real-time alerting had been set as much as catch and resolve any points instantly.

This meticulous five-step method, and the shut partnership with from partnering with MongoDB’s crew, allowed BharatPE to transition to MongoDB Atlas with out impacting its manufacturing setting, all whereas guaranteeing information safety, operational continuity, and reliability.

MongoDB Atlas boosts efficiency by 40%

Since migrating to MongoDB Atlas, BharatPE has realized tangible advantages which have immediately impacted its operations and buyer expertise.

“

Atlas’s reliability has improved availability and minimized downtime, vital to BharatPE’s 24/7 operations. “The system’s auto-failover ensures seamless service continuity, even throughout node failures,” stated Malik. Notably, MongoDB’s SLA-guaranteed 99.995% uptime delivered improved consistency.

Efficiency enhancements have been equally transformative with a 40% enchancment in question response occasions due to built-in question efficiency analytics. Observability dashboards and real-time alerts have enabled quicker situation decision.

The migration additionally addressed BharatPE’s safety considerations. BharatPE now totally meets fintech safety and compliance necessities, enabled by MongoDB’s superior security measures equivalent to information encryption, role-based entry management, and VPC peering.

Lastly, by eliminating the complexities of self-managed infrastructure, the corporate has freed sources to give attention to enterprise progress and buyer expertise.

“MongoDB handles audit logs with a single click on—we now not want third-party instruments or handbook setups,” stated Malik. “The migration has future-proofed our infrastructure whereas lowering prices and bettering reliability.”

MongoDB Atlas now underpins the foundations of BharatPE’s operations, and ensures retailers can proceed transacting seamlessly whereas enabling BharatPE to broaden its choices throughout India’s rising fintech panorama.