Stream Sets Data Ops Platform
GPTKB entity
Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:developed_by |
gptkb:Stream_Sets_Inc.
|
| gptkbp:enables |
data transformation
data pipeline management |
| gptkbp:facilitates |
data ingestion
|
| https://www.w3.org/2000/01/rdf-schema#label |
Stream Sets Data Ops Platform
|
| gptkbp:integrates_with |
gptkb:Cloud_Computing_Service
|
| gptkbp:is_available_in |
on-premises model
Saa S model |
| gptkbp:is_available_on |
gptkb:Cloud_Computing_Service
premises |
| gptkbp:is_compatible_with |
gptkb:AWS
gptkb:Cloud_Computing_Service gptkb:Azure gptkb:park |
| gptkbp:is_designed_for |
business analysts
data scientists data engineers |
| gptkbp:is_integrated_with |
data visualization tools
ETL tools machine learning tools |
| gptkbp:is_known_for |
flexibility
scalability ease of use |
| gptkbp:is_optimized_for |
data lakes
data warehouses streaming analytics |
| gptkbp:is_part_of |
data ecosystem
|
| gptkbp:is_promoted_by |
case studies
webinars white papers |
| gptkbp:is_recognized_by |
industry awards
|
| gptkbp:is_supported_by |
technical support
community forums |
| gptkbp:is_used_by |
government agencies
startups enterprises |
| gptkbp:is_used_for |
data enrichment
data migration data synchronization |
| gptkbp:is_used_in |
big data environments
|
| gptkbp:offers |
API access
monitoring tools training resources collaboration features data quality features |
| gptkbp:provides |
data integration
data lineage tracking user documentation data governance capabilities |
| gptkbp:supports |
multiple data sources
real-time data processing data privacy compliance batch processing |
| gptkbp:utilizes |
visual interface
|
| gptkbp:bfsParent |
gptkb:Stream_Sets
|
| gptkbp:bfsLayer |
6
|