DatriseAI-first ETL

StackAdapt to MySQL Integration

AI-first ETL from StackAdapt into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads StackAdapt into MySQL

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions 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

StackAdapt: Programmatic advertising across native and display.

MySQL: Widely used OSS relational engine (InnoDB).

How StackAdapt entities map to MySQL

StackAdapt entityMySQL objectNotes
campaignsstackadapt_campaignsid PK · custom fields → JSON columns
line itemsstackadapt_line_itemsid PK · linked to stackadapt_campaigns
creativesstackadapt_creativesid PK · linked to stackadapt_campaigns
spendstackadapt_spendid PK · linked to stackadapt_campaigns

FAQ

How does Datrise handle StackAdapt'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 StackAdapt 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

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