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MongoDB
92 verified customer use cases (92% with quantified ROI · Avg Value Score 87.3 · 100% with mapped architecture components).
- Verified stories
- 92
- Quantified ROI
- 92%
- Avg value score
- 87.3
- Industries served
- 12
- Distinct products
- 62
MongoDB Sample Apr 25, 2025 Paychex Paychex needed a secure way to help call-center representatives answer complex payroll, benefits, and compliance questions faster while using feedback and interaction data to keep improving its new AI assistant. MongoDB Atlas was deployed in less than one month and can help Paychex deploy a full dataset across data… ChatGPT · MongoDB Atlas MongoDB Sample Archived · Mar 20, 2025 DevRev Using MongoDB Atlas to consolidate data and boost efficiency for DevRev The mechanics of running a modern business are complex, involving many separate teams and systems — from customer relationship management (CRM) and… MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Feb 10, 2025 XTransfer XTransfer's long transaction chains, fragmented global data, and growing compliance obligations required a more flexible database that could scale cross-border payments while supporting real-time risk controls and… over 200 countries and regions ApsaraDB for MongoDB MongoDB Sample Archived · Jan 17, 2025 Coinbase Coinbase needed database clusters that could absorb volatile crypto traffic spikes without long scaling delays, downtime, or degraded customer experience. 3.25x reduction in cluster deployment time Atlas Data Federation · MongoDB Atlas MongoDB Sample Archived · Nov 6, 2024 Cyntegrity Cyntegrity needed a secure, globally available, cloud database that could combine clinical-trial data from multiple systems of record, preserve longitudinal context, satisfy data residency rules, and surface fraud and… Cyntegrity estimates it needs just one individual to maintain its infrastructure instead of 20 people for an… Microsoft Azure · MongoDB Atlas · MongoDB Time Series Collections MongoDB Sample Archived · Oct 5, 2024 Ceto AI Ceto AI needed to turn massive streams of real-time vessel data into usable anomaly and root-cause insights so it could prevent machinery failures, streamline fleet operations, and manage maritime insurance risk. These ships do not stop—365 days a year, 24 hours a day, seven days a week—they move 90% of global trade. Atlas Vector Search · MongoDB Atlas MongoDB Sample Archived · Sep 30, 2024 IGT Solutions IGT Solutions needed to replace manual, error-prone workflows and a split relational-plus-vector architecture with a flexible platform that could store large volumes of operational and vector data, support multiple AI… IGT Solutions operates 30 delivery centers and provides end-to-end platforms for over 25,000 users. Azure · MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Sep 23, 2024 Element451 Using MongoDB Atlas to enhance an AI-powered platform for Element451 According to the World Economic Forum, Powerful AI applications can help educational institutions serve their communities by streamlining tasks and… After adopting Search Nodes, the team saw CPU usage go from almost complete saturation to 30% to 40% usage… Atlas Search Nodes · MongoDB Atlas · MongoDB Atlas Search MongoDB Sample Archived · Sep 18, 2024 VinBigData VinBigData needed a centralized, cloud-native data layer for AI products serving multiple industries, because fragmented customer data and disconnected AI solutions made it hard to maintain accuracy, monitor operations,… 30% cost drop Amazon Web Services (AWS) · MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Aug 14, 2024 Hankyoreh Hankyoreh website THE CHALLENGE Relational database bottlenecks Faced with new challenges and opportunities presented by digitalization, Hankyoreh made various efforts to adapt to the evolving media landscape. With an easy setup and a few clicks, MongoDB Atlas was deployed in a high availability (HA) three-node cluster… MongoDB Atlas · MongoDB Atlas Search MongoDB Sample Archived · Aug 13, 2024 Cisco Cisco seeks to balance innovation with security as it rolls out hundreds of gen AI applications. LG U+ Read about how LG U+ improves efficiency by 30% with MongoDB-powered AI tool DevRev Learn how IT company… MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Aug 12, 2024 Bpifrance Bpifrance needed to modernize legacy batch core-banking and information systems so chatbot answers, risk calculations, audits, and cross-business research could happen in real time. Bpifrance's MongoDB platform had 4 applications before 2021. Confluent · MongoDB Atlas · MongoDB Atlas Data Federation MongoDB Sample Archived · Aug 4, 2024 Ceto Ceto needed a more scalable and reliable way to process high-frequency vessel sensor data for predictive maritime analytics after its previous platform could not keep up with fleet growth. Each vessel is equipped with thousands of sensors, each operating at a frequency of 50–100Hz, which translates… MongoDB Atlas · Time Series Collections MongoDB Sample Archived · Jun 4, 2024 Bumpp Bumpp needed a scalable database for AI-powered sales workflows, CRM detail updates, and signup spikes as the startup prepared for rapid growth. Bumpp encountered no issues with onboarding and servicing the 30% increase in active users during the Singapore… MongoDB Atlas MongoDB Sample Archived · May 30, 2024 Delivery Hero Delivery Hero needed to replace stale, batch-generated substitute recommendations that hurt revenue and customer satisfaction whenever perishable grocery items went out of stock. Delivery Hero operates at global scale. With a product catalog offering more than 100 million items, it serves… Atlas Search · Google Vertex AI · MongoDB Atlas MongoDB Sample Archived · May 25, 2024 Zebra Technologies “Our previous approach wasn’t the best — it risked data getting out of sync. MongoDB Atlas · MongoDB Atlas Search MongoDB Sample Archived · May 22, 2024 Ada Ada needed a flexible data platform for omnichannel customer-service automation so it could use unstructured data securely, train AI models, and keep shipping new products quickly as channels and modalities changed. Ada had around 300 customers including Meta, Verizon, and AT&T. Change Streams · MongoDB Atlas · Queryable Encryption MongoDB Sample Archived · Apr 24, 2024 Eni Eni needed to make multilingual subsurface documents and extracted scientific data usable across geoscience teams, but its relational platform struggled with hundreds of thousands of documents, terabytes of unstructured… more than 30,000 employees across 69 countries MongoDB Atlas · MongoDB Atlas Charts · MongoDB Atlas Search MongoDB Sample Archived · Apr 13, 2024 Vaillant Vaillant needed to handle exploding IoT telemetry from connected HVAC devices because its Azure CosmosDB environment required constant manual scaling, suffered repeated crashes and slow queries, and blocked predictive… MongoDB Atlas decreased database size by over 99%. Microsoft Azure · MongoDB Atlas MongoDB Sample Archived · Apr 13, 2024 Cognigy Cognigy needed a scalable conversational AI data platform that could integrate with enterprise systems and channels while letting the product evolve quickly without painful schema migrations or latency spikes. Cognigy designed over 30 specialized microservices orchestrated through Kubernetes. MongoDB · MongoDB GridFS