Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:lake
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:allows |
data federation
|
| gptkbp:developed_by |
gptkb:Mongo_DB,_Inc.
|
| gptkbp:enables |
real-time analytics
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mongo DB Data Lake
|
| gptkbp:integrates_with |
gptkb:Database_Management_System
gptkb:Mongo_DB_Atlas gptkb:Power_BI gptkb:park |
| gptkbp:is_accessible_by |
RESTAP Is
SD Ks |
| gptkbp:is_available_on |
gptkb:Mongo_DB_Atlas
on-premises solutions private cloud solutions public cloud solutions |
| gptkbp:is_compatible_with |
gptkb:Google_Cloud
gptkb:AWS gptkb:Azure |
| gptkbp:is_effective_against |
gptkb:theorem
|
| gptkbp:is_optimized_for |
cloud environments
multi-cloud environments hybrid environments |
| gptkbp:is_part_of |
gptkb:Database_Management_System
big data solutions data analytics solutions Mongo DB ecosystem |
| gptkbp:is_scalable |
gptkb:theorem
|
| gptkbp:is_used_by |
business analysts
data scientists data engineers data architects |
| gptkbp:is_used_for |
gptkb:software_framework
business intelligence data science |
| gptkbp:offers |
data visualization tools
data security features |
| gptkbp:provides |
data lineage tracking
query capabilities data governance features data transformation tools data ingestion capabilities |
| gptkbp:release_date |
gptkb:2019
|
| gptkbp:storage |
large volumes of data
|
| gptkbp:suitable_for |
gptkb:software
data analysts startups enterprises |
| gptkbp:supports |
SQL queries
data replication unstructured data data backup data lakes structured data data archiving semi-structured data No SQL queries |
| gptkbp:user_experience |
gptkb:theorem
|
| gptkbp:uses |
S3 storage
|