What Data Hub is built to do
Test, inspect, and administer heterogeneous databases while maintaining a governed catalog of sources, datasets, and pipeline definitions.
Data Hub
Heterogeneous database qualification and governed source, dataset, and pipeline-definition catalog management.
Data & AI
FAIS Hub Product
Purpose and problem
A focused product for a defined operating job.
Test, inspect, and administer heterogeneous databases while maintaining a governed catalog of sources, datasets, and pipeline definitions.
The operational gap it resolves
Data teams need repeatable connection, object, CRUD, and query checks before database endpoints and dataset metadata can be trusted by downstream products.
Core capabilities
Capabilities designed around the product boundary.
Database diagnostics
CRUD qualification
Connection profiles and audit
Metadata catalog
Use cases
Where teams put Data Hub to work.
Designed for: Plant data teams, analytics engineers, and MES/ERP integrators
Run connection, object, CRUD, and management checks across seven database engines
Execute InfluxDB Flux diagnostics and retain protected connection profiles
Create and maintain source, dataset, and pipeline-definition catalog records with audit history
Platforms, protocols, and technology
Built for the environments that industrial teams already operate.
The exact deployment profile is selected during discovery and validated against the target equipment, network, security, and lifecycle requirements.
WebSQL ServerMariaDBPostgreSQLSQLiteMongoDBInfluxDBRedisBlazor Server.NET 10
Platforms, protocols, and technology
Protocols and technology ecosystem
Choose the adapters and services for your equipment and deployment profile.
Databases (7)
Web and communication (1)
Logos identify their respective technologies or vendors. Trademarks belong to their owners; no endorsement or certification is implied.
Product composition
A clear architecture from source to operational outcome.
- 01
Inputs and boundary
Database-specific diagnostic adapters
- 02
Core product services
Profile, audit, source, dataset, and pipeline-definition persistence
- 03
Experience and outcomes
Blazor database-check and catalog workspaces
Product advantages
Why teams choose the FAIS product approach.
Repeatable database qualification
Central catalog metadata
Auditable administration activity
Plan the next step
Evaluate Data Hub for your operation.
Share the equipment, workflow, data, security, and deployment constraints. FAIS will help define a focused discovery or pilot path.