Statements (70)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:allows |
Data replication
|
| gptkbp:constructed_in |
Cloud-native technology
|
| gptkbp:developed_by |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:enables |
Data migration
Real-time data access Data sharing Data compliance |
| gptkbp:facilitates |
Data analytics
|
| gptkbp:features |
Data security
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mongo DB Atlas Data Fabric
|
| gptkbp:includes |
Monitoring features
|
| gptkbp:integrates_with |
gptkb:Mongo_DB_Atlas
|
| gptkbp:is_accessible_by |
Web interface
|
| gptkbp:is_available_for |
Small to large enterprises
|
| gptkbp:is_available_in |
Multiple languages
Multiple regions |
| gptkbp:is_available_on |
Public cloud platforms
|
| gptkbp:is_compatible_with |
Third-party services
Various programming languages Open-source tools |
| gptkbp:is_designed_for |
Data-driven decision making
Enterprise applications |
| gptkbp:is_integrated_with |
Business intelligence tools
Machine learning tools |
| gptkbp:is_optimized_for |
Microservices architecture
Data-intensive applications Big data workloads |
| gptkbp:is_part_of |
Data ecosystem
Cloud data strategy Mongo DB Atlas ecosystem |
| gptkbp:is_scalable |
Global deployments
|
| gptkbp:is_used_by |
gptkb:software
Data scientists |
| gptkbp:is_used_for |
Data warehousing
Data exploration |
| gptkbp:offers |
API access
Collaboration features Data governance tools Customizable dashboards User management features Cost management tools Scalability options Integration with cloud services Data enrichment capabilities |
| gptkbp:provides |
Data integration
User-friendly interface Data lifecycle management Data quality management Data transformation capabilities Backup solutions Data insights Data cataloging Data access controls Data archiving solutions |
| gptkbp:supports |
Event-driven architecture
Real-time analytics Data privacy regulations Data synchronization Multi-cloud environments Data lakes Data visualization tools Data pipelines Serverless architecture Hybrid cloud deployments Data federation Data orchestration Data analytics frameworks |