Companies that use MongoDB

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Paramount Avalara Zoom eBay Visa Sage Rivian Thomson Reuters Didi Chuxing FloQast

We dug into our own data to find out how some of the biggest companies are using MongoDB. We also corroborated our data by asking engineers who worked in each of these companies.

Paramount

Entertainment Providers — New York, New York

Paramount is one of the world's largest media companies, home to CBS, Paramount Pictures, MTV, Nickelodeon, Comedy Central, BET, Paramount+, and Pluto TV. Across its streaming and broadcast properties, Paramount reaches billions of people through live sports, news, entertainment, and on-demand content.

MongoDB runs across several distinct parts of how Paramount builds its streaming technology. Pluto TV, the free ad-supported streaming service that delivers over 250 live channels to millions of viewers, runs it as a named component of its content management platform alongside Golang, Node.js, and Redis.

From there it extends into Paramount+. The backend platform handling live event metadata for Paramount+ treats MongoDB as one of its primary NoSQL data stores, powering the services that coordinate live video streaming, media asset management, and the low-latency metadata delivery that consumer-facing applications depend on.

And then there's CBS Sports, where MongoDB sits inside the core data layer powering all of CBS Sports Digital. That layer ingests data from hundreds of sources and serves it through a federated GraphQL API to CBSSports.com, CBS Sports HQ, 247Sports, MaxPreps, and the fantasy and betting platforms.

What's notable is that this isn't one team's database preference showing up across similar jobs. Pluto TV, Paramount+, and CBS Sports are separate products with separate engineering stacks, and MongoDB turns up as a production component in all three.

Avalara

Software Development — Seattle, Washington

Avalara is the tax compliance platform behind the scenes of millions of transactions worldwide. The company processes nearly 40 billion API calls and over 5 million tax returns a year, providing automated sales tax calculation, filing, and exemption certificate management to more than 200,000 customers across 75 countries.

MongoDB runs at the core of Avalara's reliability engineering stack. The database platform spans both on-premises clusters and MongoDB Atlas, running inside EKS containerized environments and managed through Terraform and Gitlab as infrastructure as code. Change streams and MongoDB ETL pipelines replicate live data to downstream analytics systems, and the platform sits inside an on-call rotation alongside Kafka and Snowflake for 24/7 production support.

For a company processing tax transactions at that volume, the combination of on-prem MongoDB clusters, Atlas Cloud, sharding, replica sets, and live change stream replication points to a database carrying serious production weight across the business.

Zoom

IT Services and IT Consulting — San Jose, California

Zoom is the video communications platform used by hundreds of millions of people worldwide, powering meetings, webinars, phone calls, contact center operations, and events across consumer and enterprise markets.

MongoDB runs as a core part of Zoom's internal infrastructure platform. The platform handles NoSQL storage needs across many of Zoom's critical high-concurrency business systems, with engineers working directly on cluster architecture, high availability design, performance optimization, and kernel-level improvements to the database itself.

From there it extends into the operational layer. Zoom's infrastructure team builds and maintains automated tooling for MongoDB deployment, backup and recovery, scaling, and capacity planning, along with a user-facing console that gives internal teams self-service access to query, operate, and audit their own database instances.

The depth of the investment is notable. Zoom's engineers work on cold/hot data tiering, compute-storage separation, and Kubernetes operator development specifically for MongoDB, pointing to a team that treats the database as foundational infrastructure rather than a managed service they consume at arm's length.

eBay

Technology — San Jose, California

eBay is one of the world's largest online marketplaces, connecting over 130 million buyers with millions of sellers across 190 markets.

MongoDB is woven deeply into how eBay's platform actually works, and it touches several distinct parts of the business. The identity infrastructure that handles user authentication, session management, and user data for the entire site runs on it. From there it extends into the data platform, where it powers inventory mapping and ETL pipelines that collect, enrich, and transform data across eBay's global catalog. Tise, the secondhand fashion marketplace eBay acquired, takes it further still, running its entire Node.js backend with MongoDB as the primary database for search, recommendations, shipping, and payments. Even the recommendations engine that drives personalized item discovery for hundreds of millions of buyers leans on it alongside Redis as a document and key-value store.

What makes eBay a notable MongoDB story is the breadth. This isn't one corner of the engineering org using it for a niche use case. It runs through identity, data engineering, marketplace backends, and ML systems simultaneously, which is a good indicator of a technology that's become genuinely foundational across the stack.

Visa

IT Services and IT Consulting — Foster City, California

Visa is the world's largest payments network, processing over 259 billion transactions a year across more than 200 countries. Behind that scale sits one of the most sophisticated technology infrastructures in financial services, spanning real-time payments, fraud detection, authentication, and banking platforms across dozens of acquired companies.

MongoDB runs through several distinct and concrete parts of how Visa builds its technology. Visa Direct, the platform powering push payments across cards, accounts, and wallets globally, runs it as a core database alongside Cassandra, Kafka, and Hazelcast.

From there it extends into fraud and security. The Featurespace platform, which Visa deploys to major financial institutions for real-time fraud and money laundering detection, uses it as a primary data store alongside Kafka and Elasticsearch. CardinalCommerce, Visa's 3D Secure authentication division, runs it in production as a primary NoSQL database for its authentication infrastructure.

Pismo, the cloud-native banking platform Visa acquired in 2024, uses it as part of its core banking and transaction processing services. And the AI and data platform, which builds petabyte-scale data pipelines and agentic AI systems across Visa's global infrastructure, relies on it as a key non-relational store.

For a payments company that processes transactions touching 40% of the world's population, that kind of MongoDB footprint across real-time payments, fraud, authentication, banking, and AI is genuinely remarkable.

Sage

Software Development — Newcastle, United Kingdom

Sage is a global software company that builds accounting, payroll, and ERP solutions for small and medium businesses. With products like Sage Intacct, Sage X3, and Inventory Planner, it serves millions of customers across dozens of countries and operates one of the larger cloud ERP businesses outside of the Oracle and SAP tier.

MongoDB runs through two distinct parts of how Sage builds and operates its software. Inventory Planner, the demand forecasting and inventory management product Sage acquired, runs its entire platform on PHP, Vue.js, and MongoDB as the primary database. The Sage Intacct cloud platform takes a different approach, using MongoDB as part of a broader microservices data layer alongside Kafka and Elasticsearch, with dedicated cloud operations maintaining and administering those MongoDB systems in production across AWS and Azure infrastructure.

What makes Sage interesting is that MongoDB shows up in two architecturally distinct contexts. One product uses it as the foundational database for an entire application. Another uses it as a specialized component inside a larger distributed system. That kind of breadth across a portfolio points to a database that Sage reaches for across different problems, not just one.

Rivian

Motor Vehicle Manufacturing — Normal, Illinois

Rivian is the electric vehicle company behind the R1T pickup, R1S SUV, and the commercial delivery vans it builds for Amazon.

MongoDB runs across several distinct parts of how Rivian builds and operates its technology. The Cloud Gateway platform, which handles all data flowing between Rivian vehicles and the cloud, uses it as a core data store for remote commands, asset state, and telemetry streaming. The autonomy data platform treats MongoDB and Databricks as its two architectural pillars, handling petabytes of sensor data that power triage, simulation, and self-driving development.

From there it extends into the applications built on top of that sensor data, which support everything from perception to vehicle integration and use it as the primary backend database. The Yard Management System at Rivian's factory takes it into physical operations, orchestrating vehicle movement and tracking roughly $800 million worth of assets on the factory floor at any given moment.

For a company that only started delivering vehicles in 2021, the breadth of MongoDB's footprint is notable. It touches vehicle connectivity, autonomy, and physical manufacturing operations simultaneously, which points to a database that got embedded early and scaled with the company.

Thomson Reuters

Software Development — Toronto, Ontario

Thomson Reuters is one of the world's largest information services companies, providing legal research, tax software, compliance tools, and news to professionals across more than 100 countries. Reuters, its news division, reaches billions of people daily through some of the most trusted journalism in the world.

MongoDB runs across several distinct parts of how Thomson Reuters builds its products. The Reuters.com news platform relies on it as a core NoSQL store powering the backend services that handle content creation, curation, publishing, and distribution at global scale.

From there it extends into the professional software side of the business, where the legal and tax product engineering stack uses it alongside RabbitMQ, Redis, and Elasticsearch as part of its microservices architecture. Thomson Reuters Special Services, the division that builds data and intelligence tools for government clients, takes it further still, treating MongoDB as a primary database alongside Kafka and Elasticsearch for large-scale search and analytical processing.

And then there's Thomson Reuters Labs, the internal AI research group, which relies on it as part of the data infrastructure powering their LLM training pipelines.

What's notable is the range of contexts. MongoDB handles news delivery, legal software, government intelligence, and AI research simultaneously, which points to a database that found its way into fundamentally different parts of a very large organization and stuck.

Didi Chuxing

Software Development — Beijing, China

Didi Chuxing is China's dominant ride-hailing platform, operating across hundreds of cities and handling hundreds of millions of trips. Behind the scale sits an infrastructure that has to manage real-time location data, driver-passenger matching, payments, and fleet operations simultaneously across a massive user base.

MongoDB runs deep enough at Didi that the company built a dedicated internal platform around it. That platform handles automated deployment, backup and recovery, elastic scaling, and capacity planning for MongoDB clusters across the organization. On top of that sits a user-facing console that gives internal product and engineering teams self-service access to query, operate, and audit their own MongoDB instances.

From there it extends into the database layer itself. Didi's engineers work directly on kernel-level optimization, index tuning, replication, sharding, and transaction behavior to meet the performance requirements of their specific workloads. The platform also feeds into cost optimization and resource scheduling across clusters.

What makes Didi notable here isn't just that they use MongoDB. It's that they built tooling specifically to run it at scale internally. That's the kind of investment a company makes when a database is genuinely load-bearing across the business, not just present in a few services.

FloQast

Software Development — Los Angeles, California

FloQast is an accounting automation platform used by more than 3,500 finance and accounting teams worldwide, including Lululemon, Chipotle, and Shopify. The platform handles the close process, reconciliations, compliance workflows, and increasingly AI-driven accounting automation for companies that can't afford errors in their financial data.

MongoDB Atlas runs as the primary datastore for the entire FloQast platform. The company built its infrastructure on AWS using NodeJS microservices and AWS Lambdas, with MongoDB Atlas at the center of that stack handling all data persistence across the product.

The choice matters in context. Accounting software carries strict requirements around data integrity, auditability, and availability. FloQast's decision to run MongoDB Atlas as its primary database rather than a traditional relational system reflects a deliberate architectural bet on document storage for a product where the data model has to flex to match how different companies structure their financial close processes.