Data & AI Platform · mongodb.com
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
Architecture Stack Signature
6-Layer Production Component Breakdown
MongoDB Atlas 89 MongoDB Enterprise Advanced 3 MongoDB Atlas Online Archive 2
MongoDB Atlas Vector Search 25 MongoDB Atlas Search 17 MongoDB Vector Search 8
Voyage AI 8 Amazon Bedrock 3 OpenAI 3
Microsoft Azure 2 MongoDB Professional Services 2 Amazon Web Services (AWS) 1
MongoDB Compass 1 OpenID Connect (OIDC) 1 Queryable Encryption 1
Apache Kafka 1
Product & Model Ecosystem
Most Deployed Products & Co-occurring Pairs
Top named products & AI models
MongoDB Atlas 89 MongoDB Atlas Vector Search 25 MongoDB Atlas Search 17 MongoDB Vector Search 8 Voyage AI 8 MongoDB Vector Search on Atlas 5 MongoDB Search 4 Amazon Bedrock 3
Most frequent co-deployed product pairs
- MongoDB Atlas + MongoDB Atlas Vector Search 25 stories
- MongoDB Atlas + MongoDB Atlas Search 17 stories
- MongoDB Atlas + MongoDB Vector Search 8 stories
- MongoDB Atlas + Voyage AI 8 stories
- MongoDB Atlas Search + MongoDB Atlas Vector Search 8 stories
Adoption Footprint
Sector, Region & Organization Scale
Top adopting industries
Geographic footprint
- Global / Multi-region 30 (33%)
- Europe 27 (29%)
- North America 21 (23%)
- Asia-Pacific 10 (11%)
Organization scale
- Enterprise 38 (41%)
- SMB 31 (34%)
- Mid-market 22 (24%)
- Public sector 1 (1%)
Verified Business Impact
Outcome Categories & Customer ROI Proof
Primary outcome drivers
MongoDB Sample Oct 8, 2026 Navisio AI Rapid adoption of Navisio AI's platform triggered severe latency spikes, elevated CPU and RAM consumption, and costly vertical scaling. As it prepares to scale to 1,000 by the end of the year, and eventually toward 5,000 users, the team is… MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Archived · Sep 30, 2026 Decathlon Decathlon's eight-year-old pricing system was struggling to scale and process millions of daily dynamic, marketplace, and local store prices. And with Oneprice, it has a system ready to handle millions of data points and their related legal complexities… MongoDB Atlas · MongoDB Atlas Online Archive MongoDB Sample Archived · Sep 30, 2026 Amadeus IT Group The shift to New Distribution Capability (NDC) bypassed traditional GDS buffers, sending massive search traffic directly to airlines’ systems. Furthermore, MongoDB's distributed architecture and sharding capabilities enable Amadeus to scale horizontally,… MongoDB Atlas · MongoDB Enterprise Advanced MongoDB Sample Sep 30, 2026 MongoDB MongoDB needed to stop sales reps from spending 4 to 6 hours per account or deal cycle manually stitching together customer context from Salesforce, email, meeting transcripts, and documents before they could plan… Holly currently runs on 30 agents. Atlas Agent Engine MongoDB Sample Archived · Sep 28, 2026 Hippo Innovations Hippo Innovations needed to replace rigid relational databases and bolt-on search services with a simpler platform that could support highly variable product data, heavy e-commerce traffic, and new AI-driven search and… "30% lower query latency" MongoDB Atlas · MongoDB Atlas Charts · MongoDB Data API MongoDB Sample Sep 25, 2026 Intellect Design Arena Intellect Design Arena needed a governed retrieval architecture that could turn fragmented ESG data into trustworthy enterprise AI answers for highly regulated financial institutions. An initial vector-only search achieved an accuracy rate of 71%. MongoDB Atlas · Purple Fabric MongoDB Sample Sep 15, 2026 Physics Wallah Physics Wallah needed a flexible, high-scale data platform that could support millions of learners, personalized engagement, and future AI capabilities across a rapidly growing edtech business. Physics Wallah has 5.3 million paid users and a 142 million online student community. MongoDB Atlas · MongoDB Community Edition · MongoDB Search MongoDB Sample Sep 9, 2026 Squary AI Squary AI needed to eliminate slow, outage-prone legal search infrastructure that combined MongoDB with OpenSearch and hurt document review speed, cost, and trust. At Quatrini Law Group, Squary AI analyzed more than 460,000 pages and saved over 400 attorney and paralegal hours. Amazon Bedrock · Claude · MongoDB Atlas MongoDB Sample Aug 31, 2026 LexisNexis Risk Solutions LexisNexis needed an AI retrieval architecture that could preserve relationships and time context across fast-changing financial and commodities data, because standard RAG could not produce reliable answers for… LexisNexis publishes 2,000 articles daily and tracks over 2,200 global commodities. MongoDB Atlas MongoDB Sample Archived · Aug 29, 2026 Document360 Document360 needed its Eddy AI assistant to answer multi-part documentation questions accurately without breaking access controls or adding a separate vector database to keep in sync. The unified architecture boosted baseline response accuracy to 94%, reduced user dislikes by 30%, and ensured… Atlas Search · MongoDB Atlas · MongoDB Vector Search on Atlas MongoDB Sample Archived · Aug 21, 2026 ElevenLabs Before shifting from AI research to enterprise products, ElevenLabs’ legacy database lacked native free-text search, draining engineering time. MongoDB Atlas MongoDB Sample Aug 11, 2026 Scalestack Scalestack needed to unify first-party, third-party, and zero-party go-to-market data so sales teams could stop manually researching prospects and act on AI-generated recommendations faster. Customers saw a 40% increase in rep productivity. MongoDB Atlas MongoDB Sample Aug 11, 2026 Swisscom Swisscom needed to help banking users search and summarize a fast-growing library of more than 3,500 industry documents with better speed, relevance, and trust than general-purpose online AI tools could provide. Swisscom reached out to MongoDB on February 6, 2024 and had a prototype built by February 15. MongoDB Atlas · MongoDB Vector Search MongoDB Sample Aug 11, 2026 Lombard Odier Lombard Odier needed to modernize its legacy banking infrastructure, reduce technical complexity, and accelerate innovation while maintaining security and regulatory compliance. LG U+ Read about how LG U+ improves efficiency by 30% with MongoDB-powered AI tool DevRev Learn how IT company… MongoDB Atlas MongoDB Sample Jul 30, 2026 Mentra Mentra needed a backend that would let a small team iterate rapidly on AI-native smart glasses while storing fast-changing app data, multimodal notes, and retrieval-ready embeddings for user context. The goal is to fit around 80 to 90% of faces with one frame. MongoDB Atlas · MongoDB Voyage AI MongoDB Sample Jul 23, 2026 Principled Intelligence Deploying unreliable or noncompliant AI systems risks reputational damage and regulatory trouble long before problems reach customers. Scaling to 10,000 Stress Tests Seamlessly Still in private beta, Principled Intelligence’s Spectral platform… MongoDB Atlas · MongoDB Compass · Voyage AI MongoDB Sample Jul 8, 2026 Mercor Mercor needed to replace a join-heavy recruiting architecture that made profiles slow to load and delayed newly interviewed candidates from appearing in search results for hours. Mercor reached a 100% fill rate on time-sensitive client requests as a direct result of this change. Apache Kafka · Fireworks AI · MongoDB Atlas MongoDB Sample Jun 24, 2026 ani.tech ani.tech needed an AI-native data layer that could support autonomous financial-workflow agents after MySQL and rigid SaaS-era schemas became a bottleneck for experimentation and deployment. Its automated agents absorbed 75% of an end-to-end financial-advice workflow for pilot customer Octopus Money. MongoDB Atlas MongoDB Sample Jun 4, 2026 Retail AI Solution Synchronizing three separate databases grew increasingly complex as an AI shopping assistant scaled to meet the needs of its retail clients. The migration took two and a half months, supporting 180 million monthly active users with effectively zero… MongoDB Atlas · MongoDB Atlas Search · MongoDB Atlas Vector Search MongoDB Sample May 28, 2026 Rippling Rippling needed a resilient, scalable data foundation to support a rapidly expanding workforce platform and new AI features that answer questions across live operational data. Rippling has expanded its portfolio to nearly 70 different products. MongoDB Atlas MongoDB Sample May 18, 2026 LekoTech LekoTech needed to digitize millions of unique car parts to promote reuse but faced latency of up to 35 seconds with its existing search system. LekoTech needed to digitize millions of unique car parts to promote reuse but faced latency of up to 35 seconds… MongoDB Atlas · MongoDB Atlas Search · MongoDB Atlas Vector Search MongoDB Sample Archived · May 15, 2026 Cambium Cambium's Marvad AI examination platform had to detect cheating and plagiarism across tens of thousands of papers, but vector-search latency reached 55 minutes and false positives surged as production volumes approached… around 15 million vectors MongoDB Atlas · MongoDB Professional Services MongoDB Sample Apr 29, 2026 Tenali AI Tenali AI needed to help enterprise sellers answer deeply technical questions during live calls in under one second by searching Slack, PDFs, CRM data, and prior meeting content without the latency and synchronization… After switching embedding models, sales reps actively using Tenali's answers on live calls increased by over 40%. MongoDB Atlas · MongoDB Vector Search · Voyage AI MongoDB Sample Archived · Apr 11, 2026 Adobe Adobe needed an AI-ready data foundation that could support embedded generative AI features across its creative products without forcing users or internal developers to leave core workflows. Over 800 million monthly active users rely on Adobe products. MongoDB Atlas