MongoDB
Combines operational database, vector search, text search, and stream processing to store, query, and analyze data for application and AI workloads
A unified data platform that combines an operational document database with vector search, text search, and stream processing to store, query, and analyze transactional, analytical, graph, and geospatial data for application and AI workloads. It sells to developers, data and analytics teams, and IT and operations staff in b2b companies ranging from startups to enterprises. It is delivered as a multi-cloud SaaS platform with APIs, plus self-managed enterprise and open-source community editions, GUI tools, and third-party integrations.
Key features
- Multi-cloud database deployment
- Vector search for AI apps
- Text search experiences
- Stream processing with Kafka
- Operational document data model
- Transactional ACID support
- Analytical aggregations and transformations
- Graph data relationship analysis
- Geospatial data and indexes
- Compass GUI for data
- Third-party integrations
- Relational migrator tool
- LinkedIn1.0/day
GTM channels
- Blog
- Partner program
- Marketplace
- Community
- API
- Docs
- Changelog
- Creative ads
ICP
- Software developers
- Data analytics teams
- DevOps sre teams