Microsoft Fabric
OneLake and Fabric warehouse metadata, semantic models, and lakehouse tables.
Bring your data estate—and the insights already built on it.
Connect warehouse catalogues, inspect governed schemas, and rebuild the reports your teams rely on without starting from a blank canvas.
Connect the platforms you already run.
FastBI can ingest catalogue metadata and schema exports from cloud warehouses, lakehouses, and major SQL databases, then ground queries and dashboard generation in that structure.
Google BigQuery
Datasets, tables, views, partitions, and governed analytical models.
Amazon Redshift
Clusters, Serverless workgroups, schemas, views, and materialised views.
Snowflake
Databases, schemas, secure views, stages, and governed data products.
Databricks
Unity Catalog, Delta tables, lakehouse schemas, and SQL warehouses.
SQL databases
PostgreSQL, MySQL, SQL Server, Oracle, and compatible catalogue APIs.
Migration paths
Move beyond legacy BI without losing the work.
Upload report definitions, screenshots, schema notes, and source mappings. FastBI uses the available structure and visual evidence to propose measures, charts, layouts, and a working dashboard you can refine.
Power BI
Export model metadata, report definitions, screenshots, and measure notes.
Tableau
Bring workbook definitions, calculated fields, data-source mappings, and screenshots.
Looker
Import LookML, explores, dashboard definitions, and visual references.
From source artefacts to a live dashboard.
1
Read the schema
Pull a public catalogue or schema endpoint and preserve the tables, fields, and relationships as grounding context.
2
Read the existing report
Use definitions, screenshots, and migration notes to understand metrics, visual hierarchy, filters, and intent.
3
Generate in FastBI
Create a working dashboard from governed queries, then let an analyst validate and refine every chart.
Ready to connect or migrate?
The in-product workspaces pull schemas and turn uploaded report artefacts into editable dashboards.