MongoDB Atlas
NewThe intelligent data platform for the AI era
#8 of 30 in Vector Databases67,000 customers (per mongodb.com)28% positive in AI answers
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- MongoDB Atlas ranks #8 of 30 in Vector Databases with an AI visibility score of 12.7 (SlateIndex, Nov 2, 2026).
- MongoDB Atlas is most visible on ChatGPT (15.4) and least on Perplexity (8.9).
- AI engines name MongoDB Atlas in 16 of the 30 Vector Databases buyer prompts SlateIndex tracks.
- g2.com is the source AI engines cite most in answers about MongoDB Atlas, with 12 citations.
About
Company details for MongoDB Atlas
MongoDB Atlas is a fully managed cloud database built on the document model. It brings operational data, search, vectors and embeddings, and stream processing into one platform. It runs across AWS, Microsoft Azure and Google Cloud, and can also be self-managed through MongoDB Enterprise Advanced. It ranks #8 of 30 in Vector Databases on SlateIndex and has a visibility score of 12.7 in the latest weekly run.
It has raised about $311M. Its differentiator: operational data, vectors, search and stream processing in a single document database platform with one query API.
- Website
- mongodb.com
- Categories
- Vector Databases
- Company size
- 5,000+ employees
- Headquarters
- New York, NY, United States
- Company type
- Division of MongoDB, Inc.
- Funding
- IPO and stock offering · $311M raised
- Customers
- 67,000 · per mongodb.com/company
- Pricing
- Free; paid from $0.011 / mo · usage-based
- Free trial
- Free plan available
- Deployment
- Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced
- Platforms
- AWS, Microsoft Azure, Google Cloud
- Integrations
- 100+ native
- Compliance
- ISO/IEC 27001:2022, FedRAMP Moderate (Atlas for Government), TX-RAMP Level 2, PCI DSS, HIPAA, GDPR, CSA STAR
- Support
- Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on, Support through the MongoDB Support Hub
Read from linkedin.com, mongodb.com, gartner.com, employbl.com, tracxn.com · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in Vector Databases. Pinecone leads the category at 71.8%.
Media
Website and product screenshots for MongoDB Atlas
AI mentions & citations
Recent answers that name MongoDB Atlas
What should a vector database integrate with?
Examples: PostgreSQL, MongoDB, MySQL, Amazon S3.
What should a vector database integrate with?
Traditional Databases & Data Warehouses : Relational and analytical stores like PostgreSQL, Snowflake, BigQuery, or MongoDB.
Which vector database has the best reviews?
Most review evidence: MongoDB Atlas, with 855 reviews.
What are the pros and cons of CrateDB?
Compared with PostgreSQL, MySQL, MongoDB, and Elasticsearch, CrateDB has a smaller community and ecosystem.
Which vector database has transparent pricing?
MongoDB Atlas Vector Search — vector search is included in Atlas pricing, with a free M0 tier and a Flex tier capped at $30/month.
Alternatives to the most popular vector database
MongoDB Atlas Vector Search : If your app already relies on MongoDB, Atlas lets you store document metadata and vector embeddings in the exact same collection without adding external infrastructure layers.
How do companies store and search embeddings without a dedicated tool?
Store embeddings in MongoDB
Which Vector Databases vendors do analysts recommend?
As of November 2026, the strongest analyst-recognized vector database vendors include Pinecone, Qdrant, Zilliz (Milvus), Weaviate, Vespa.ai, Elastic, MongoDB, and Microsoft Azure AI Search.
Products & features
What MongoDB Atlas sells
MongoDB Database
Transactional document database on a flexible, multi-cloud platform.
Atlas Search
Relevance-based search added to application data.
Atlas Vector Search
Finds semantically similar content in your data.
Atlas Agent Engine
Builds, deploys and governs AI agents in production, currently in public preview.
VoyageAI by MongoDB
Embedding and reranking models to improve retrieval.
Atlas Stream Processing
Processes events as they arrive, including from Apache Kafka.
Charts
Dashboards and visual insights built into Atlas.
Atlas CLI
Manages Atlas from the command line.
Data Federation
Queries data across Atlas databases and S3.
Online Archive
Tiers archived data and queries it through one endpoint.
Strengths engines cite
- stores documents and vector embeddings together in one system
- good fit for teams already using MongoDB
- built-in vector search without extra infrastructure
- vector search included in Atlas pricing with a free M0 tier
- integration with Databricks Lakebase
Target market & buyers
Developers and enterprises building applications, from early prototypes to mission-critical production
Notable customers include Coinbase.
| Industry | Primary use case |
|---|---|
| Retail | Migrated 200 databases to Atlas in 4 months, using search and an online vector store |
| Automotive | Core database for services, with 99.99% availability for customers |
| Telecommunications | Managing vector and operational data, after migrating operational data from PostgreSQL |
| Healthcare | Generating Clinical Study Reports in 10 minutes instead of 12 weeks |
| Financial Services | Automated cluster deployment and scaling, cited by Coinbase |
Funding & recent developments
Funding
| Round | Year | Amount |
|---|---|---|
| Series A | 2008 | $2M |
| Series B | 2009 | $3M |
| Series C | 2010 | $7M |
| Series D | 2011 | $20M |
| Series E | 2012 | $42M |
| Series E | 2012 | $8M |
| Series F | 2013 | $150M |
| Series F | 2015 | $80M |
| IPO and stock offering | 2017 | $192M |
| Latest known round | Total raised |
|---|---|
| IPO and stock offering | $311M |
Recent developments
- Sep 2026ProductMongoDB 9.0 and Atlas Infinite launched
MongoDB 9.0 and Atlas Infinite, a deployment option for AI-scale workloads with independent compute and storage scaling, were launched.
- Sep 2026CompanyCEO transition announced
MongoDB, Inc. announced a CEO transition.
- Sep 2026ProductAtlas Agent Engine enters public preview
Atlas Agent Engine, a unified execution, memory and governance layer for running AI agents on Atlas, entered public preview.
- Aug 2026ProductAutomated embeddings and embedding and reranking API on Atlas
Automated embeddings on Atlas, an embedding and reranking API, and vector search in Atlas Stream Processing were announced.
- Jun 2026ProductReranking embedded into Atlas
InfoWorld reported that reranking was embedded into Atlas.
Competitive landscape
How MongoDB Atlas compares with its top three alternatives
MongoDB Atlas most often appears alongside Pinecone, PostgreSQL, Qdrant in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| MongoDB Atlas | 12.7% | 5.5% | New | Free plan |
| Pinecone | 71.8% | 14% | New | Free plan |
| PostgreSQL | 49% | 12.6% | New | Pricing not available |
| Qdrant | 60.5% | 13.4% | New | Free plan |
| Weaviate | 45.2% | 11.7% | New | Free plan |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 28% · Neutral 66% · Mixed 6% of 18 engine answers that mention MongoDB Atlas
Praised for
- stores documents and vector embeddings together in one system
- good fit for teams already using MongoDB
- built-in vector search without extra infrastructure
- vector search included in Atlas pricing with a free M0 tier
- integration with Databricks Lakebase
Criticised for
Pricing
Usage-based pricing with a free plan
Cite as: SlateIndex, “MongoDB Atlas AI visibility profile”, https://slateindex.ai/brand/mongodb-atlas, data of Nov 2, 2026. Licence: CC BY 4.0.