Kontext Data Lake combines uploaded files, managed Internal Iceberg storage, and project-level catalog access. Current support on this page reflects file ingestion and lakehouse capabilities in the current runtime.
Support Matrix
| Capability | Support |
|---|---|
| Uploaded file formats | CSV, TSV, Parquet, JSON, JSONL, Excel (.xlsx, .xls) |
| Internal catalog | Internal Iceberg |
| External catalogs / databases | See Data Catalogs |
| Execution modes | duckdb_federated, native_pushdown, materialized |
| Query surface | SQL editor, catalog browser, notebooks, AI-assisted workflows |
| Isolation model | Project-scoped storage, roles, and query context |
File Formats
| Format | Ingestion / profiling |
|---|---|
CSV | Supported |
TSV | Supported |
Parquet | Supported |
JSON | Supported |
JSONL | Supported |
Excel (.xlsx, .xls) | Supported |
Uploaded files are profiled automatically and added to the project lakehouse context.
Available In
| Surface | Usage |
|---|---|
| SQL editor | Query uploaded files and lakehouse-backed tables |
| Catalog browser | Browse the Internal Iceberg catalog and connected metadata |
| Notebooks | Use lakehouse data in project-scoped notebook analysis |
| Data agents | Ground AI analysis in uploaded and lakehouse-managed data |