Dremio to MySQL Integration
AI-first ETL from Dremio into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Dremio into MySQL
Datrise syncs Dremio's datasets, tables, reflections, query jobs, sources, and table schemas into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Dremio: Lakehouse query engine over open table formats.
MySQL: Widely used OSS relational engine (InnoDB).
How Dremio entities map to MySQL
| Dremio entity | MySQL object | Notes |
|---|---|---|
| datasets | dremio_datasets | id PK · custom fields → JSON columns |
| tables | dremio_tables | id PK · linked to dremio_datasets |
| reflections | dremio_reflections | id PK · linked to dremio_datasets |
| query jobs | dremio_query_jobs | id PK · linked to dremio_datasets |
FAQ
How does Datrise handle Dremio's custom fields in MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Dremio to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Dremio
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