Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Company
|
| gptkbp:associated_with |
Data strategy
Data architecture Data innovation |
| gptkbp:compatibleWith |
Cloud services
On-premises systems |
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:features |
Data replication
Machine learning integration Data visualization tools AI capabilities Data migration tools |
| gptkbp:has_partnerships_with |
Cloud providers
Consulting firms Technology vendors |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Data Management Family
|
| gptkbp:includes |
gptkb:IBM_Informix
gptkb:IBM_Cloud_Pak_for_Data gptkb:IBM_Db2 IBM Netezza |
| gptkbp:is_available_in |
Multiple platforms
|
| gptkbp:is_designed_to |
Data analysis
Business intelligence Data-driven decision making |
| gptkbp:is_featured_in |
IBM's_marketing_materials
|
| gptkbp:is_involved_in |
Data lifecycle management
Data quality management Data privacy compliance |
| gptkbp:is_known_for |
Scalability
High availability Performance optimization |
| gptkbp:is_part_of |
gptkb:IBM_Analytics_portfolio
IBM's_digital_transformation_strategy IBM_Cloud_offerings |
| gptkbp:is_promoted_through |
Conferences
Workshops Webinars |
| gptkbp:is_recognized_for |
Industry analysts
Users for reliability Users for support |
| gptkbp:is_supported_by |
IBM's_customer_service
IBM's_technical_support_team |
| gptkbp:is_used_in |
Large enterprises
Enterprise environments Small and medium businesses |
| gptkbp:isUpdatedBy |
To include new features
|
| gptkbp:offers |
Data warehousing solutions
Data security features Data analytics features |
| gptkbp:provides |
Data integration tools
Data storage solutions Data governance capabilities |
| gptkbp:supports |
gptkb:SQL
NoSQL Big_Data |