Info Sphere Data Replication
GPTKB entity
Statements (67)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:archive
|
gptkbp:bfsLayer |
4
|
gptkbp:bfsParent |
gptkb:IBM_Info_Sphere
|
gptkbp:can_be_used_with |
ETL tools
|
gptkbp:connects |
No SQL databases
|
gptkbp:controls |
high transaction volumes
|
gptkbp:deployment |
on-premises environments
|
gptkbp:developed_by |
gptkb:CEO
|
gptkbp:enables |
data synchronization
|
gptkbp:facilitates |
data migration
|
https://www.w3.org/2000/01/rdf-schema#label |
Info Sphere Data Replication
|
gptkbp:includes |
monitoring tools
|
gptkbp:integrates_with |
gptkb:IBM_Info_Sphere_Information_Server
third-party applications |
gptkbp:is_available_on |
gptkb:multiple_platforms
|
gptkbp:is_compatible_with |
cloud environments
data privacy regulations data lakes |
gptkbp:is_designed_for |
real-time data processing
large-scale data environments |
gptkbp:is_designed_to |
reduce data latency
|
gptkbp:is_integrated_with |
gptkb:IBM_Cloud_Pak_for_Data
|
gptkbp:is_optimized_for |
low latency
|
gptkbp:is_part_of |
gptkb:IBM_Info_Sphere_suite
data integration solutions |
gptkbp:is_scalable |
large data volumes
|
gptkbp:is_used_by |
business intelligence applications
|
gptkbp:is_used_for |
disaster recovery
data enrichment data compliance data federation real-time data integration customer data integration |
gptkbp:is_used_in |
enterprise data management
healthcare data management telecommunications data management government data management manufacturing data management |
gptkbp:offers |
high availability
real-time analytics user-friendly interface |
gptkbp:provides |
audit capabilities
data lineage tracking data transformation capabilities real-time monitoring security features data access controls change data capture data quality features |
gptkbp:publishes |
databases
files unstructured data structured data streaming data |
gptkbp:setting |
high throughput
|
gptkbp:suitable_for |
gptkb:financial_services_company
retail data management |
gptkbp:supports |
data governance
data sharing multiple data sources multi-cloud strategies data lakes data warehousing data virtualization data archiving heterogeneous environments data analytics platforms |