Delighted → MySQL
AI-first ETL from Delighted into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Delighted into MySQL
Datrise syncs Delighted's surveys, responses, scores, and follow-up workflows 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
Delighted: NPS and micro-survey feedback platform.
MySQL: Widely used OSS relational engine (InnoDB).
How Delighted entities map to MySQL
| Delighted entity | MySQL object | Notes |
|---|---|---|
| surveys | delighted_surveys | id PK · custom fields → JSON columns |
| responses | delighted_responses | id PK · linked to delighted_surveys |
| scores | delighted_scores | id PK · linked to delighted_surveys |
| follow-up workflows | delighted_follow_up_workflows | id PK · linked to delighted_surveys |
FAQ
How does Datrise handle Delighted'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 Delighted 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 Delighted
- Delighted → Microsoft SQL Server
- Delighted → Oracle Database
- Delighted → Snowflake
- Delighted → Google BigQuery
- Delighted → Amazon Redshift
- Delighted → Databricks SQL Warehouse
- Delighted → ClickHouse
- Delighted → DuckDB
- Delighted → Amazon Athena
- Delighted → Amazon S3 Data Lake
- Delighted → Azure Data Lake Storage
- Delighted → Azure Synapse
Early access
Connect Delighted to MySQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.